Neural network‐based optimal tracking control for partially unknown discrete‐time non‐linear systems using reinforcement learning

Neural network‐based optimal tracking control for partially unknown discrete‐time non‐linear systems using reinforcement learning

Abstract Otimal tracking control of discrete‐time non‐linear systems is investigated in this paper. The system drift dynamics is unknown in this investigation. Firstly, in the light of the discrete‐time non‐linear systems and reference signal, an augmented system is constructed. Optimal tracking con...

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Bibliographic Details
Main Authors: Jingang Zhao, Prateek Vishal
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:IET Control Theory & Applications
Subjects:
Optimisation techniques
Interpolation and function approximation (numerical analysis)
Linear control systems
Control system analysis and synthesis methods
Stability in control theory
Optimal control
Online Access:https://doi.org/10.1049/cth2.12037

Internet

https://doi.org/10.1049/cth2.12037

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