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ORCIDSreenatha G. Anavatti
Sreenatha Gopalarao Anavatti – A. G. Sreenatha
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2020 – today
- 2024
[j64]Md Meftahul Ferdaus
, Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, J. Senthilnath:
A compact meta-learned neuro-fuzzy technique for noise-robust nonlinear control. Appl. Soft Comput. 166: 112149 (2024)- [j63]Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Md Meftahul Ferdaus, Murat Tahtali, Savitha Ramasamy, Mahardhika Pratama:
GATE: A guided approach for time series ensemble forecasting. Expert Syst. Appl. 235: 121177 (2024) - [j62]Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass:
A hierarchical mission planning system for multi-uncrewed ground vehicles using fast cost evaluation and ant colony optimisation. Inf. Sci. 679: 121029 (2024) - [j61]Vu Phi Tran, Matthew A. Garratt, Sreenatha G. Anavatti, Sridhar Ravi:
Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments. Swarm Evol. Comput. 89: 101615 (2024) - [j60]Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk:
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. IEEE Trans. Artif. Intell. 5(8): 4258-4268 (2024) - [j59]Vu Phi Tran, Mohamed A. Mabrok, Sreenatha G. Anavatti, Matthew A. Garratt, Ian R. Petersen:
Robust Adaptive Fuzzy Control for Second-Order Euler-Lagrange Systems With Uncertainties and Disturbances via Nonlinear Negative-Imaginary Systems Theory. IEEE Trans. Cybern. 54(9): 5102-5114 (2024) - [c87]Shahriar Shakir Sumit, Sreenatha G. Anavatti, Murat Tahtali, Seyedali Mirjalili, Ugur Turhan:
KDVGG-Lite: A Distilled Approach for Enhancing the Accuracy of Image Classification. ACIIDS (2) 2024: 15-27 - [c86]Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti, Jiefei Wang, Phi Vu Tran, Md Meftahul Ferdaus:
Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties. ECC 2024: 3777-3782 - [c85]Rafiqul Islam, Sreenatha G. Anavatti, Kathryn Kasmarik, Matt Garratt:
Robust and Scalable Swarming of Quadruped Robots for Chemical, Biological, Radiological, and Nuclear Source Localisation. ICMRE 2024: 56-62 - [c84]Yok Tungthamrongkul, Asanka G. Perera, Rafiqul Islam, Sreenatha G. Anavatti:
Intelligent Control System for Ground Vehicles. ICMRE 2024: 177-182 - [i26]Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah, Ryszard Kowalczyk:
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. CoRR abs/2401.13968 (2024) - [i25]Vu Phi Tran, Asanka G. Perera, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti:
Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings with Fixed One-Way Switching. CoRR abs/2407.01308 (2024) - 2023
- [j58]Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti:
Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments. IEEE CAA J. Autom. Sinica 10(3): 646-661 (2023) - [j57]Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Alex S. Leong, Mohammad Zamani:
Multi-gas source localization and mapping by flocking robots. Inf. Fusion 91: 665-680 (2023) - [j56]Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
A Novel Evolving Type-2 Fuzzy System for Controlling a Mobile Robot under Large Uncertainties. Robotics 12(2): 40 (2023) - [j55]K. T. Yasas Mahima, Asanka G. Perera, Sreenatha G. Anavatti, Matt Garratt:
Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving. Sensors 23(23): 9579 (2023) - [j54]Vu Phi Tran, Mohamed A. Mabrok, Sreenatha G. Anavatti, Matthew A. Garratt, Ian R. Petersen:
Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems. IEEE Trans. Cybern. 53(8): 5108-5120 (2023) - [j53]Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti:
Novel General Regression Neural Networks for Improving Control Accuracy of Nonlinear MIMO Discrete-Time Systems. IEEE Trans. Cybern. 53(10): 6122-6132 (2023) - [j52]Vu Phi Tran, Asanka G. Perera, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti:
Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles. IEEE Trans. Intell. Transp. Syst. 24(11): 12506-12522 (2023) - [c83]Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Mahardhika Pratama, Berlian Al Kindhi:
Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting. IJCNN 2023: 1-8 - [i24]Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Mahardhika Pratama, Berlian Al Kindhi:
Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting. CoRR abs/2304.10758 (2023) - [i23]Vu Phi Tran, Asanka G. Perera, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti:
Coverage Path Planning with Budget Constraints for Multiple Unmanned Ground Vehicles. CoRR abs/2306.04083 (2023) - [i22]Asanka G. Perera, Vu Phi Tran, Sreenatha G. Anavatti, Kathryn Kasmarik, Matthew Garratt:
Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles. CoRR abs/2312.03493 (2023) - 2022
- [j51]Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt:
Online Model-Free Reinforcement Learning for Output Feedback Tracking Control of a Class of Discrete-Time Systems With Input Saturation. IEEE Access 10: 104966-104979 (2022) - [j50]Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Kay Chen Tan, Hussein A. Abbass:
A survey, taxonomy and progress evaluation of three decades of swarm optimisation. Artif. Intell. Rev. 55(5): 3607-3725 (2022) - [j49]Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass:
Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning. Expert Syst. Appl. 196: 116605 (2022) - [j48]Tanmoy Dam, Sreenatha G. Anavatti, Hussein A. Abbass:
Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j47]Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass:
Multi-operator continuous ant colony optimisation for real world problems. Swarm Evol. Comput. 69: 100984 (2022) - [j46]Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Shadi Abpeikar:
Frontier-led swarming: Robust multi-robot coverage of unknown environments. Swarm Evol. Comput. 75: 101171 (2022) - [j45]Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti, Hussein A. Abbass:
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey. IEEE Trans. Intell. Transp. Syst. 23(10): 16940-16961 (2022) - [j44]Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti, Hussein A. Abbass:
MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation. IEEE Trans. Intell. Transp. Syst. 23(11): 20134-20147 (2022) - [j43]Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
A Robust Self-Adaptive Interval Type-2 TS Fuzzy Logic for Controlling Multi-Input-Multi-Output Nonlinear Uncertain Dynamical Systems. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 655-666 (2022) - [c82]Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti, Hussein A. Abbass, Junyu Dong:
Lightweight Monocular Depth Estimation with an Edge Guided Network. ICARCV 2022: 204-210 - [c81]Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Ankan Mullick:
Improving Self-Supervised Learning for Out-Of-Distribution Task via Auxiliary Classifier. ICIP 2022: 3036-3040 - [c80]Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Latent Preserving Generative Adversarial Network for Imbalance Classification. ICIP 2022: 3712-3716 - [c79]Tanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Hussein A. Abbass:
Scalable Adversarial Online Continual Learning. ECML/PKDD (3) 2022: 373-389 - [i21]Vu Phi Tran, Mohamed A. Mabrok, Sreenatha G. Anavatti, Matthew A. Garratt, Ian R. Petersen:
Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems. CoRR abs/2203.13959 (2022) - [i20]Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Latent Preserving Generative Adversarial Network for Imbalance classification. CoRR abs/2209.01555 (2022) - [i19]Tanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Hussein A. Abbass:
Scalable Adversarial Online Continual Learning. CoRR abs/2209.01558 (2022) - [i18]Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Ankan Mullick:
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier. CoRR abs/2209.02881 (2022) - [i17]Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti, Hussein A. Abbass, Junyu Dong:
Lightweight Monocular Depth Estimation with an Edge Guided Network. CoRR abs/2209.14829 (2022) - 2021
- [j42]Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
Self-Learning in Aerial Robotics Using Type-2 Fuzzy Systems: Case Study in Hovering Quadrotor Flight Control. IEEE Access 9: 119520-119532 (2021) - [j41]Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
State-of-the-Art Integrated Guidance and Control Systems in Unmanned Vehicles: A Review. IEEE Syst. J. 15(3): 3312-3323 (2021) - [j40]Essam Soliman Debie, Raul Fernandez Rojas, Justin Fidock, Michael Barlow, Kathryn Kasmarik, Sreenatha G. Anavatti, Matt Garratt, Hussein A. Abbass:
Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review. IEEE Trans. Cybern. 51(3): 1542-1555 (2021) - [j39]Vu Phi Tran, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
Neural Network-Based Self-Learning of an Adaptive Strictly Negative Imaginary Tracking Controller for a Quadrotor Transporting a Cable-Suspended Payload With Minimum Swing. IEEE Trans. Ind. Electron. 68(10): 10258-10268 (2021) - [j38]Vu Phi Tran, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
Distributed Artificial Neural Networks-Based Adaptive Strictly Negative Imaginary Formation Controllers for Unmanned Aerial Vehicles in Time-Varying Environments. IEEE Trans. Ind. Informatics 17(6): 3910-3919 (2021) - [j37]Sumana Biswas, Sreenatha G. Anavatti, Matthew A. Garratt:
Multiobjective Mission Route Planning Problem: A Neural Network-Based Forecasting Model for Mission Planning. IEEE Trans. Intell. Transp. Syst. 22(1): 430-442 (2021) - [j36]Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
Hybrid PD-Fuzzy and PD Controllers for Trajectory Tracking of a Quadrotor Unmanned Aerial Vehicle: Autopilot Designs and Real-Time Flight Tests. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1817-1829 (2021) - [j35]Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Stable Adaptive Controller Based on Generalized Regression Neural Networks and Sliding Mode Control for a Class of Nonlinear Time-Varying Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2525-2535 (2021) - [j34]Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
A Robust Hybrid of a Feedback Linearization Technique and an Interval Type-2 Fuzzy Control System for the Flapping Angle Dynamics of a Biomimetic Aircraft. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5664-5673 (2021) - [c78]Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Does Adversarial Oversampling Help us? CIKM 2021: 2970-2973 - [c77]P. Nayar, Andrey Miroshnichenko, Sreenatha G. Anavatti:
Battery Energy Storage Placement in a Solar PV Based Distribution System. ISGT Asia 2021: 1-7 - [c76]Jing Liu, Aya Hussein, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass:
UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm. SSCI 2021: 1-8 - [i16]Tanmoy Dam, Sreenatha G. Anavatti, Hussein A. Abbass:
Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces. CoRR abs/2107.12706 (2021) - [i15]Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Does Adversarial Oversampling Help us? CoRR abs/2108.10697 (2021) - [i14]Tanmoy Dam, Nidhi Swami, Sreenatha G. Anavatti, Hussein A. Abbass:
Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification. CoRR abs/2111.04019 (2021) - [i13]Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti, Hussein A. Abbass:
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey. CoRR abs/2111.08600 (2021) - [i12]Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti, Hussein A. Abbass:
MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation. CoRR abs/2111.12334 (2021) - [i11]Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti:
Robust Multi-Robot Coverage of Unknown Environments using a Distributed Robot Swarm. CoRR abs/2111.14295 (2021) - 2020
- [j33]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Mahardhika Pratama, Matthew A. Garratt:
Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review. Artif. Intell. Rev. 53(1): 257-290 (2020) - [j32]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer:
PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles. Inf. Sci. 512: 481-505 (2020) - [j31]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Yongping Pan:
Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-Inspired Unmanned Aerial Vehicles. IEEE Trans. Fuzzy Syst. 28(8): 1542-1556 (2020) - [j30]Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
T2-ETS-IE: A Type-2 Evolutionary Takagi-Sugeno Fuzzy Inference System With the Information Entropy-Based Pruning Technique. IEEE Trans. Fuzzy Syst. 28(10): 2665-2672 (2020) - [j29]Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt:
Self-Evolving Neural Control for a Class of Nonlinear Discrete-Time Dynamic Systems With Unknown Dynamics and Unknown Disturbances. IEEE Trans. Ind. Informatics 16(10): 6518-6529 (2020) - [j28]Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti, Ian R. Petersen:
Robust Hybrid Nonlinear Control Systems for the Dynamics of a Quadcopter Drone. IEEE Trans. Syst. Man Cybern. Syst. 50(8): 3059-3071 (2020) - [c75]Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
A Simplified Model-Free Self-Evolving TS Fuzzy Controller for Nonlinear Systems with Uncertainties. EAIS 2020: 1-6 - [c74]Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Towards crossing the reality gap with evolved plastic neurocontrollers. GECCO 2020: 130-138 - [c73]Tung Nguyen, Jing Liu, Hung The Nguyen, Kathryn Kasmarik, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass:
Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding. IJCNN 2020: 1-8 - [c72]Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
Online System Identification for Nonlinear Uncertain Dynamical Systems Using Recursive Interval Type-2 TS Fuzzy C-means Clustering. SSCI 2020: 1695-1701 - [c71]Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Evolving Spiking Neurocontrollers for UAVs. SSCI 2020: 1928-1935 - [i10]Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Crossing the Reality Gap with Evolved Plastic Neurocontrollers. CoRR abs/2002.09854 (2020) - [i9]Hung The Nguyen, Tung Nguyen, Vu Phi Tran, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass:
Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding. CoRR abs/2004.11543 (2020)
2010 – 2019
- 2019
- [j27]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
Online identification of a rotary wing Unmanned Aerial Vehicle from data streams. Appl. Soft Comput. 76: 313-325 (2019) - [j26]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle. J. Artif. Intell. Soft Comput. Res. 9(2): 99-109 (2019) - [j25]Sumana Biswas, Sreenatha G. Anavatti, Matthew A. Garratt:
A Time-Efficient Co-Operative Path Planning Model Combined with Task Assignment for Multi-Agent Systems. Robotics 8(2): 35 (2019) - [j24]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression. IEEE Trans. Fuzzy Syst. 27(11): 2115-2129 (2019) - [c70]Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
An Intelligent Control of an Inverted Pendulum Based on an Adaptive Interval Type-2 Fuzzy Inference System. FUZZ-IEEE 2019: 1-6 - [c69]Md Meftahul Ferdaus, Mohamad Abdul Hady, Mahardhika Pratama, Harikumar Kandath, Sreenatha G. Anavatti:
RedPAC: A Simple Evolving Neuro-Fuzzy-based Intelligent Control Framework for Quadcopter. FUZZ-IEEE 2019: 1-7 - [c68]Raul Fernandez Rojas, Essam Soliman Debie, Justin Fidock, Michael Barlow, Kathryn Kasmarik, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass:
Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming. ICONIP (4) 2019: 530-539 - [c67]Hung The Nguyen, Tung D. Nguyen, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass:
A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms. ICONIP (1) 2019: 658-669 - [c66]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Red-FLC: an Adaptive Fuzzy Logic Controller with Reduced Learning Parameters. SSCI 2019: 513-518 - [c65]Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti, Md Meftahul Ferdaus:
Online Takagi-Sugeno Fuzzy Identification of a Quadcopter Using Experimental Input-Output Data. SSCI 2019: 527-533 - [c64]Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt:
Evolving General Regression Neural Networks for Learning from Noisy Datasets. SSCI 2019: 1473-1478 - [c63]Jing Liu, Sreenatha G. Anavatti, Matthew Garratt, Hussein A. Abbass:
Comprehensive Learning Particle Swarm Optimisation with Limited Local Search for UAV Path Planning. SSCI 2019: 2287-2294 - [i8]Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Evolving Spiking Neural Networks for Nonlinear Control Problems. CoRR abs/1903.01180 (2019) - 2018
- [j23]Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
State-of-the-Art Intelligent Flight Control Systems in Unmanned Aerial Vehicles. IEEE Trans Autom. Sci. Eng. 15(2): 613-627 (2018) - [c62]Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti, Osama Hassanein:
Entropy Fuzzy System Identification for the Dynamics of the Dragonfly-like Flapping Wing Aircraft. FUZZ-IEEE 2018: 1-8 - [c61]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew Garratt:
A Generic Self-Evolving Neuro-Fuzzy Controller Based High-Performance Hexacopter Altitude Control System. SMC 2018: 2784-2791 - [c60]Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
Nonlinear Altitude Control of a Quadcopter Drone Using Interval Type-2 Fuzzy Logic. SSCI 2018: 236-241 - [c59]Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Evolving General Regression Neural Networks using Limited Incremental Evolution for Data-Driven Modeling of Non-linear Dynamic Systems. SSCI 2018: 335-341 - [c58]Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha G. Anavatti:
Evolving Spiking Neural Networks for Nonlinear Control Problems. SSCI 2018: 1367-1373 - [c57]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Mahardhika Pratama, Matthew A. Garratt:
A Novel Self-Organizing Neuro-Fuzzy based Intelligent Control System for a AR.Drone Quadcopter. SSCI 2018: 2026-2032 - [i7]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Yongping Pan:
Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-inspired Unmanned Aerial Vehicles. CoRR abs/1802.00635 (2018) - [i6]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Development of c-means Clustering Based Adaptive Fuzzy Controller for A Flapping Wing Micro Air Vehicle. CoRR abs/1802.01262 (2018) - [i5]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
A Generic Self-Evolving Neuro-Fuzzy Controller based High-performance Hexacopter Altitude Control System. CoRR abs/1805.02508 (2018) - [i4]Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt:
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression. CoRR abs/1805.04258 (2018) - [i3]Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt:
Review of Applications of Generalized Regression Neural Networks in Identification and Control of Dynamic Systems. CoRR abs/1805.11236 (2018) - [i2]Hung The Nguyen, Vu Phi Tran, Tung Nguyen, Matthew Garratt, Kathryn Kasmarik, Michael Barlow, Sreenatha G. Anavatti, Hussein A. Abbass:
Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction. CoRR abs/1810.04344 (2018) - [i1]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer:
PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles. CoRR abs/1811.03764 (2018) - 2017
- [j22]Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Sreenatha G. Anavatti:
Evolving type-2 web news mining. Appl. Soft Comput. 54: 200-220 (2017) - [j21]Jiefei Wang, Matthew A. Garratt, Sreenatha G. Anavatti:
Real-time path planning algorithm for autonomous vehicles in unknown environments. Int. J. Mechatronics Autom. 6(1): 1-9 (2017) - [j20]Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, Sreenatha G. Anavatti, Chee Peng Lim:
Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network. Neurocomputing 262: 4-27 (2017) - [j19]Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti:
Visual-Inertial Navigation Systems for Aerial Robotics: Sensor Fusion and Technology. IEEE Trans Autom. Sci. Eng. 14(1): 260-275 (2017) - [j18]Mahardhika Pratama, Guangquan Zhang, Meng Joo Er, Sreenatha G. Anavatti:
An Incremental Type-2 Meta-Cognitive Extreme Learning Machine. IEEE Trans. Cybern. 47(2): 339-353 (2017) - [j17]Khairul Alam, Tapabrata Ray, Sreenatha G. Anavatti:
Design Optimization of an Unmanned Underwater Vehicle Using Low- and High-Fidelity Models. IEEE Trans. Syst. Man Cybern. Syst. 47(11): 2794-2808 (2017) - [j16]Arti Kalra, Sreenatha G. Anavatti, Radhakant Padhi:
Aggressive Formation Flying of Fixed-Wing UAVs with Differential Geometric Guidance. Unmanned Syst. 5(2): 97-113 (2017) - [c56]Mudassir Jann, Sreenatha G. Anavatti, Sumana Biswas:
Path planning for multi-vehicle autonomous swarms in dynamic environment. ICACI 2017: 48-53 - [c55]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Fuzzy clustering based nonlinear system identification and controller development of Pixhawk based quadcopter. ICACI 2017: 223-230 - [c54]Aamir Wadood, Sreenatha G. Anavatti, Osama Hassanein:
Robust controller design for an autonomous underwater vehicle. ICACI 2017: 237-244 - [c53]Zeinab Khaksar, Sreenatha G. Anavatti, Krishna Shankar:
The Vibration Simulation at the Helicopter Pilot's Body Segments in Vertical Direction. ICMMI 2017: 292-300 - [c52]Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt:
Altitude identification and intelligent control of a flapping wing micro aerial vehicle using modified generalized regression neural networks. SSCI 2017: 1-6 - [c51]Sumana Biswas, Sreenatha G. Anavatti, Matthew A. Garratt:
Particle swarm optimization based co-operative task assignment and path planning for multi-agent system. SSCI 2017: 1-6 - [c50]Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Fuzzy clustering based modelling and adaptive controlling of a flapping wing micro air vehicle. SSCI 2017: 1-6 - [c49]Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt:
Evolving neuro-fuzzy system based online identification of a bio-inspired flapping wing micro aerial vehicle. SSCI 2017: 1-8 - 2016
- [j15]Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, Edwin Lughofer, Chee Peng Lim:
An incremental meta-cognitive-based scaffolding fuzzy neural network. Neurocomputing 171: 89-105 (2016) - [j14]Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Sreenatha G. Anavatti:
Scaffolding type-2 classifier for incremental learning under concept drifts. Neurocomputing 191: 304-329 (2016) - [j13]Mohsen H. Tehrani, Matthew A. Garratt, Sreenatha G. Anavatti:
Low-altitude horizon-based aircraft attitude estimation using UV-filtered panoramic images and optic flow. IEEE Trans. Aerosp. Electron. Syst. 52(5): 2362-2375 (2016) - [c48]Kalyan Kumar Halder, Manoranjan Paul, Murat Tahtali, Sreenatha G. Anavatti, M. Manzur Murshed:
A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos. DICTA 2016: 1-6 - [c47]Sreenatha G. Anavatti, Sumana Biswas, Jedd T. Colvin, Mahardhika Pratama:
A hybrid algorithm for efficient path planning of autonomous ground vehicles. ICARCV 2016: 1-6 - [c46]Sumana Biswas, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama:
Simultaneous replanning with vectorized particle swarm optimization algorithm. ICARCV 2016: 1-6 - [c45]Caixia Li, Sreenatha G. Anavatti, Tapabrata Ray, Hyungbo Shim:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 17-30 - [c44]Sumana Biswas, Sreenatha G. Anavatti, Matthew A. Garratt:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 61-74 - 2015
- [j12]Mahardhika Pratama, Sreenatha G. Anavatti, Meng Joo Er, Edwin Lughofer:
pClass: An Effective Classifier for Streaming Examples. IEEE Trans. Fuzzy Syst. 23(2): 369-386 (2015) - [j11]Mahardhika Pratama, Sreenatha G. Anavatti, Jie Lu:
Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm. IEEE Trans. Fuzzy Syst. 23(6): 2048-2066 (2015) - [c43]Osama Hassanein, Sreenatha G. Anavatti, Hyungbo Shim, Shaaban Ali Salman:
Auto-generating fuzzy system modelling of physical systems. CCA 2015: 1142-1147 - [c42]Jiefei Wang, Matthew A. Garratt, Sreenatha G. Anavatti:
Dominant plane detection using a RGB-D camera for autonomous navigation. ICARA 2015: 456-460 - [c41]Jiefei Wang, Matthew A. Garratt, Sreenatha G. Anavatti, Shanggang Lin:
Real-time visual odometry for autonomous MAV navigation using RGB-D camera. ROBIO 2015: 1353-1358 - 2014
- [j10]Khairul Alam, Tapabrata Ray, Sreenatha G. Anavatti:
Design and construction of an autonomous underwater vehicle. Neurocomputing 142: 16-29 (2014) - [j9]Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer:
GENEFIS: Toward an Effective Localist Network. IEEE Trans. Fuzzy Syst. 22(3): 547-562 (2014) - [j8]Caixia Li, Sreenatha Gopalarao Anavatti, Tapabrata Ray:
Analytical Hierarchy Process Using Fuzzy Inference Technique for Real-Time Route Guidance System. IEEE Trans. Intell. Transp. Syst. 15(1): 84-93 (2014) - [j7]Mahardhika Pratama, Sreenatha G. Anavatti, Plamen P. Angelov, Edwin Lughofer:
PANFIS: A Novel Incremental Learning Machine. IEEE Trans. Neural Networks Learn. Syst. 25(1): 55-68 (2014) - [c40]Khairul Alam, Tapabrata Ray, Sreenatha G. Anavatti:
Practical application of an evolutionary algorithm for the design and construction of a six-inch submarine. IEEE Congress on Evolutionary Computation 2014: 2825-2832 - [c39]Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, José Antonio Iglesias:
A recurrent meta-cognitive-based Scaffolding classifier from data streams. EALS 2014: 132-139 - [c38]Mahardhika Pratama, Meng Joo Er, Sreenatha G. Anavatti, Edwin Lughofer, Ning Wang, Imam Arifin:
A novel meta-cognitive-based scaffolding classifier to sequential non-stationary classification problems. FUZZ-IEEE 2014: 369-376 - [c37]Jiefei Wang, Matthew A. Garratt, Ping Li, Sreenatha G. Anavatti:
Motion recovery using the image interpolation algorithm and an RGB-D camera. ROBIO 2014: 683-688 - [c36]Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer:
An Incremental Classifier from Data Streams. SETN 2014: 15-28 - [c35]Kalyan Kumar Halder, Murat Tahtali, Sreenatha G. Anavatti:
An Artificial Neural Network Approach for Underwater Warp Prediction. SETN 2014: 384-394 - 2013
- [j6]Osama Hassanein, Sreenatha G. Anavatti, Tapabrata Ray:
Black-Box Tool for nonlinear System Identification Based upon Fuzzy System. Int. J. Comput. Intell. Appl. 12(2) (2013) - [c34]Kalyan Kumar Halder, Murat Tahtali, Sreenatha G. Anavatti:
High Precision Restoration Method for Non-uniformly Warped Images. ACIVS 2013: 60-67 - [c33]Kalyan Kumar Halder, Murat Tahtali, Sreenatha G. Anavatti:
An Improved Restoration Method for Non-Uniformly Warped Images Using Optical Flow Technique. DICTA 2013: 1-6 - [c32]Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer:
Online identification of complex multi-input-multi-output system based on generic evolving neuro-fuzzy inference system. EAIS 2013: 106-113 - [c31]Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer:
Evolving fuzzy rule-based classifier based on GENEFIS. FUZZ-IEEE 2013: 1-8 - [c30]Kalyan Kumar Halder, Murat Tahtali, Sreenatha G. Anavatti:
A fast restoration method for atmospheric turbulence degraded images using non-rigid image registration. ICACCI 2013: 394-399 - [c29]Sobers L. X. Francis, Sreenatha G. Anavatti, Matthew A. Garratt:
Real time cooperative path planning for multi-autonomous vehicles. ICACCI 2013: 1053-1057 - [c28]Caixia Li, Sreenatha Gopalarao Anavatti, Tapabrata Ray:
Application of a non-cooperative game theory based traffic assignment. ICACCI 2013: 1124-1128 - [c27]Andrey Kirsanov, Sreenatha G. Anavatti, Tapabrata Ray:
3D tools for the Robust Design Optimization of an Autonomous Underwater Vehicle. ICACCI 2013: 1730-1737 - [c26]Kalyan Kumar Halder, Murat Tahtali, Sreenatha G. Anavatti:
A new pixel shiftmap prediction method based on Generalized Regression Neural Network. ISSPIT 2013: 309-314 - [c25]Kalyan Kumar Halder, Murat Tahtali, Sreenatha G. Anavatti:
A new image restoration approach for imaging through the atmosphere. ISSPIT 2013: 350-355 - [c24]Caixia Li, Sreenatha G. Anavatti, Tapabrata Ray:
A game theory based traffic assignment using queueing networks. ITST 2013: 210-215 - [c23]Osama Hassanein, Sreenatha G. Anavatti, Tapabrata Ray:
Hybrid Neuro-Fuzzy Network Identification for Autonomous Underwater Vehicles. SEMCCO (2) 2013: 287-297 - [c22]Andrey Kirsanov, Sreenatha G. Anavatti, Tapabrata Ray:
Path Planning for the Autonomous Underwater Vehicle. SEMCCO (2) 2013: 476-486 - 2012
- [j5]Matthew A. Garratt, Sreenatha G. Anavatti:
Non-linear Control of Heave for an Unmanned Helicopter Using a Neural Network. J. Intell. Robotic Syst. 66(4): 495-504 (2012) - [c21]Khairul Alam, Tapabrata Ray, Sreenatha G. Anavatti:
An Evolutionary Approach for the Design of Autonomous Underwater Vehicles. Australasian Conference on Artificial Intelligence 2012: 279-290 - [c20]Sobers L. X. Francis, Sreenatha G. Anavatti, Matthew A. Garratt:
Motion Detection and Velocity Estimation for Obstacle Avoidance using 3D Point Clouds. ICINCO (2) 2012: 255-259 - [c19]Caixia Li, Sreenatha Gopalarao Anavatti, Tapabrata Ray:
Adaptive route guidance system with real-time traffic information. ITSC 2012: 367-372 - [c18]Mahendra Kumar Samal, Sreenatha G. Anavatti, Matthew A. Garratt:
Neural Network Based Model Predictive Controller for Simplified Heave Model of an Unmanned Helicopter. SEMCCO 2012: 356-363 - 2011
- [c17]Khairul Alam, Tapabrata Ray, Sreenatha G. Anavatti:
Design of a toy submarine using underwater vehicle design optimization framework. CIVTS 2011: 23-29 - [c16]Sobers L. X. Francis, Sreenatha G. Anavatti, Matthew A. Garratt:
Reconstructing the geometry of an object using 3D TOF Camera. CompSens 2011: 13-17 - [c15]Osama Hassanein, Sreenatha G. Anavatti, Tapabrata Ray:
On-Line Adaptive Fuzzy Modeling and Control for Autonomous Underwater Vehicle. ICARA (selected extended papers) 2011: 57-70 - [c14]Sobers L. X. Francis, Sreenatha G. Anavatti, Matthew A. Garratt:
Dynamic model of autonomous ground vehicle for the path planning module. ICARA 2011: 73-77 - [c13]Sobers L. X. Francis, Sreenatha G. Anavatti, Matthew A. Garratt:
Model Based Path Planning Module. ICARA (selected extended papers) 2011: 81-90 - [c12]Osama Hassanein, Sreenatha G. Anavatti, Tapabrata Ray:
Fuzzy modeling and control for Autonomous Underwater Vehicle. ICARA 2011: 169-174
2000 – 2009
- 2009
- [j4]Abhijit G. Kallapur, Ian R. Petersen, Sreenatha G. Anavatti:
A Discrete-Time Robust Extended Kalman Filter for Uncertain Systems With Sum Quadratic Constraints. IEEE Trans. Autom. Control. 54(4): 850-854 (2009) - [c11]Abhijit G. Kallapur, Ian R. Petersen, Sreenatha G. Anavatti:
A discrete-time robust extended Kalman filter. ACC 2009: 3819-3823 - 2008
- [j3]Vishwas R. Puttige, Sreenatha G. Anavatti:
Real-time System Identification of Unmanned Aerial Vehicles: A Multi-Network Approach. J. Comput. 3(7): 31-38 (2008) - [c10]Amitay Isaacs, Vishwas R. Puttige, Tapabrata Ray, Warren F. Smith, Sreenatha G. Anavatti:
Development of a memetic algorithm for Dynamic Multi-Objective Optimization and its applications for online neural network modeling of UAVs. IJCNN 2008: 548-554 - [c9]Abhijit G. Kallapur, Mahendra Kumar Samal, Vishwas R. Puttige, Sreenatha G. Anavatti, Matthew Garratt:
A UKF-NN Framework for System Identification of Small Unmanned Aerial Vehicles. ITSC 2008: 1021-1026 - 2007
- [c8]Vishwas R. Puttige, Sreenatha G. Anavatti, Tapabrata Ray:
Comparative Analysis of Multiple Neural Networks for Online Identification of a UAV. Australian Conference on Artificial Intelligence 2007: 120-129 - [c7]Vishwas R. Puttige, Sreenatha G. Anavatti:
Comparison of Real-time Online and Offline Neural Network Models for a UAV. IJCNN 2007: 412-417 - [c6]Vishwas R. Puttige, Sreenatha G. Anavatti:
Real-time multi-network based identification with dynamic selection implemented for a low cost UAV. SMC 2007: 759-764 - 2006
- [j2]Dongkyoung Chwa, Jin Young Choi, Sreenatha G. Anavatti:
Observer-based adaptive guidance law considering target uncertainties and control loop dynamics. IEEE Trans. Control. Syst. Technol. 14(1): 112-123 (2006) - [c5]Sreenatha G. Anavatti, Shaaban Ali Salman, Jin Young Choi:
Fuzzy + PID Controller for Robot Manipulator. CIMCA/IAWTIC 2006: 75 - [c4]Vishwas R. Puttige, Sreenatha G. Anavatti:
Real-Time Neural Network Based Online Identification Technique for a UAV Platform. CIMCA/IAWTIC 2006: 92 - [c3]Abhijit G. Kallapur, Sreenatha G. Anavatti:
UAV Linear and Nonlinear Estimation Using Extended Kalman Filter. CIMCA/IAWTIC 2006: 250 - 2004
- [c2]Sreenatha G. Anavatti, Choi J. Young, Francois Pichery:
An Experience with the Neural Network for Auto-Landing System of an Aircraft. ICEIS (2) 2004: 393-400 - 2003
- [c1]Dongkyoung Chwa, A. G. Sreenatha, Ki Hong Im, Jin Young Choi, Jin H. Seo:
Nonlinear observer for nonlinear adaptive guidance law considering target uncertainties and control loop dynamics. ECC 2003: 3566-3571
1990 – 1999
- 1998
- [j1]Santosh V. Joshi, Sreenatha Gopalarao Anavatti, J. Chandrasekhar:
Suppression of wing rock of slender delta wings using a single neuron controller. IEEE Trans. Control. Syst. Technol. 6(5): 671-677 (1998)
Coauthor Index
[j62] [j61] [j59] [c86] [c85] [i25] [j58] [j57] [j56] [j55] [j54] [j52] [i23] [i22] [j51] [j50] [j49] [j47] [j46] [j45] [j44] [j43] [c82] [i21] [i17] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [c76] [i13] [i12] [i11] [j33] [j32] [j31] [j30] [j29] [j28] [c75] [c74] [c73] [c72] [c71] [i10] [i9] [j27] [j26] [j25] [j24] [c70] [c68] [c67] [c66] [c65] [c64] [c63] [i8] [j23] [c62] [c61] [c60] [c59] [c58] [c57] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [j21] [j19] [c55] [c52] [c51] [c50] [c49] [j13] [c46] [c44] [c42] [c41] [c37] [c32] [c29] [j5] [c20] [c18] [c16] [c14] [c13] [c9]
Phi Vu Tran
aka: Vu Phi Tran
aka: Vu Phi Tran
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