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ORCIDMasoud Roudneshin
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2020 – today
- 2023
[j2]Masoud Roudneshin
, Kamran Ghaffari, Amir G. Aghdam:
On Forward Kinematics of a 3SPR Parallel Manipulator. IEEE Control. Syst. Lett. 7: 425-430 (2023)- [j1]Masoud Roudneshin, Kamran Sayrafian, Amir G. Aghdam:
Adaptive Maximization of the Harvested Power for Wearable or Implantable Sensors With Coulomb Force Parametric Generators. IEEE Internet Things J. 10(19): 16793-16803 (2023) - [c10]Masoud Roudneshin, Saba Sanami, Amir G. Aghdam:
Risk-Constrained Control of Mean-Field Linear Quadratic Systems. CDC 2023: 4638-4643 - [i4]Masoud Roudneshin, Saba Sanami, Amir G. Aghdam:
Risk-Constrained Control of Mean-Field Linear Quadratic Systems. CoRR abs/2307.07129 (2023) - 2022
- [c9]Masoud Roudneshin, Kamran Sayrafian, Amir G. Aghdam:
Maximizing Harvested Energy in Coulomb Force Parametric Generators. ACC 2022: 1801-1807 - [c8]Masoud Roudneshin, Kamran Sayrafian, Amir G. Aghdam:
An Asymmetric Adaptive Approach to Enhance Output Power in Kinetic-Based Microgenerators. IEEE SENSORS 2022: 1-4 - [i3]Masoud Roudneshin, Kamran Ghaffari, Amir G. Aghdam:
On Forward Kinematics of a 3SPR Parallel Manipulator. CoRR abs/2205.15518 (2022) - 2021
- [c7]Vida Fathi, Masoud Roudneshin, Amir G. Aghdam:
A Near-Optimal Solution to a Class of Deep Structured Teams with Nonlinear Dynamics. MED 2021: 1252-1257 - 2020
- [c6]Reza Babazadeh, Masoud Roudneshin, Rastko R. Selmic, Amir G. Aghdam:
Robust Suboptimal Output Synchronization of Nonlinear Heterogeneous Agents. ACC 2020: 1678-1684 - [c5]Jalal Arabneydi, Masoud Roudneshin, Amir G. Aghdam:
Reinforcement Learning in Deep Structured Teams: Initial Results with Finite and Infinite Valued Features. CCTA 2020: 148-155 - [c4]Masoud Roudneshin, Kamran Sayrafian, Amir G. Aghdam:
Adaptive Estimation of Near-Optimal Electrostatic Force in Micro Energy-Harvesters. CCTA 2020: 782-786 - [c3]Masoud Roudneshin, Jalal Arabneydi, Amir G. Aghdam:
Reinforcement Learning in Nonzero-sum Linear Quadratic Deep Structured Games: Global Convergence of Policy Optimization. CDC 2020: 512-517 - [i2]Jalal Arabneydi, Masoud Roudneshin, Amir G. Aghdam:
Reinforcement Learning in Deep Structured Teams: Initial Results with Finite and Infinite Valued Features. CoRR abs/2010.02868 (2020) - [i1]Masoud Roudneshin, Jalal Arabneydi, Amir G. Aghdam:
Reinforcement Learning in Nonzero-sum Linear Quadratic Deep Structured Games: Global Convergence of Policy Optimization. CoRR abs/2011.14391 (2020)
2010 – 2019
- 2019
- [c2]Masoud Roudneshin, Kamran Sayrafian, Amir G. Aghdam:
A Machine Learning Approach to the Estimation of Near-Optimal Electrostatic Force in Micro Energy-Harvesters. WiSEE 2019: 71-75 - [c1]Masoud Roudneshin, Amir Mohammad Moradi Sizkouhi, Amir G. Aghdam:
Effective Learning Algorithms for Search and Rescue Missions in Unknown Environments. WiSEE 2019: 76-80
Coauthor Index
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