Reinforcement learning-based optimised control for a class of second-order nonlinear dynamic systems

DOI10.1080/00207721.2022.2074568zbMath1518.93065OpenAlexW4280599139MaRDI QIDQ6099278

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Publication date: 19 June 2023

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

Full work available at URL: https://doi.org/10.1080/00207721.2022.2074568

zbMATH Keywords

optimal controlneural networkreinforcement learningsecond-order nonlinear system

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Hamilton-Jacobi equations in optimal control and differential games (49L12)

Related Items (1)

Ball convergence analysis of Jarratt-type sixth-order method and its applications in solving some chemical problems

Cites Work

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• Adaptive compensation for infinite number of actuator failures based on tuning function approach
• Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
• Output tracking control of uncertain nonlinear second-order systems
• Observer-based adaptive neural tracking control for output-constrained switched MIMO nonstrict-feedback nonlinear systems with unknown dead zone
• Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties
• Neural-network-observer-based optimal control for unknown nonlinear systems using adaptive dynamic programming
• Dynamic Approximate Solutions of the HJ Inequality and of the HJB Equation for Input-Affine Nonlinear Systems

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