S
Shubhendu Bhasin
Researcher at Indian Institute of Technology Delhi
Publications - 101
Citations - 2012
Shubhendu Bhasin is an academic researcher from Indian Institute of Technology Delhi. The author has contributed to research in topics: Control theory & Adaptive control. The author has an hindex of 20, co-authored 82 publications receiving 1470 citations. Previous affiliations of Shubhendu Bhasin include Indian Institutes of Technology & University of Florida.
Papers
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A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems
Shubhendu Bhasin,Rushikesh Kamalapurkar,Marcus Johnson,Kyriakos G. Vamvoudakis,Frank L. Lewis,Warren E. Dixon +5 more
TL;DR: An online adaptive reinforcement learning-based solution is developed for the infinite-horizon optimal control problem for continuous-time uncertain nonlinear systems using a novel actor-critic-identifier (ACI) architecture to approximate the Hamilton-Jacobi-Bellman equation.
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Approximate optimal trajectory tracking for continuous-time nonlinear systems
TL;DR: The control development in this paper guarantees ultimately bounded tracking of a desired trajectory, while also ensuring that the enacted controller approximates the optimal controller.
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Combined MRAC for Unknown MIMO LTI Systems With Parameter Convergence
TL;DR: This work proposes a novel combined model reference adaptive controller (MRAC) for unknown multi input multi output (MIMO) LTI systems with guaranteed parameter convergence, which guarantees exponential convergence of the error dynamics without requiring the PE condition as well as the structural knowledge of the system matrices.
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Predictor-based control for an uncertain Euler-Lagrange system with input delay
TL;DR: Control of nonlinear systems with actuator delay is a challenging problem because of the need to develop some form of prediction of the nonlinear dynamics, and Lyapunov-Krasovskii functionals are used within a LyapUNov-based stability analysis to prove semi-global uniformly ultimately bounded tracking.
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Approximate $N$ -Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System
TL;DR: An approximate online equilibrium solution is developed for an N-player nonzero-sum game subject to continuous-time nonlinear unknown dynamics and an infinite horizon quadratic cost.