Optimal and robust control of a class of nonlinear systems using dynamically re-optimised single network adaptive critic design

DOI10.1080/00207721.2017.1408871zbMath1385.93026OpenAlexW2773083058MaRDI QIDQ4638032

Shivendra N. Tiwari, Radhakant Padhi

Publication date: 3 May 2018

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2017.1408871

zbMATH Keywords

optimal controlneural networksadaptive systemsadaptive optimal controlsingle network adaptive criticneuro-adaptive control

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Control/observation systems governed by ordinary differential equations (93C15)

Cites Work

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• Single neural network approximation based adaptive control for a class of uncertain strict-feedback nonlinear systems
• A single network adaptive critic (SNAC) architecture for optimal control synthesis for a class of nonlinear systems
• Adaptive optimal control for continuous-time linear systems based on policy iteration
• Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design
• Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers

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