Neural-network-based approach to finite-time optimal control for a class of unknown nonlinear systems

DOI10.1007/s00500-013-1170-zzbMath1326.49041OpenAlexW2061171824MaRDI QIDQ894653

Ruizhuo Song, Qinglai Wei, Wendong Xiao, Chang-Yin Sun

Publication date: 2 December 2015

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-013-1170-z

zbMATH Keywords

optimal controlapproximate dynamic programmingadaptive dynamic programmingunknown nonlinear systemsdata-based

Mathematics Subject Classification ID

Dynamic programming in optimal control and differential games (49L20) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Dynamic programming (90C39)

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Cites Work

• Unnamed Item
• Unnamed Item
• An iterative adaptive dynamic programming method for solving a class of nonlinear zero-sum differential games
• An iterative \(\varepsilon\)-optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state
• Discrete-time weight updates in neural-adaptive control
• Robust adaptive tracking control of distributed delay systems with actuator and communication failures
• Recent Advances in Intelligent Control Systems
• Adaptive continuous-time linear quadratic Gaussian control
• Virtual reference direct design method: an off-line approach to data-based control system design
• Numerical methods for open-loop and closed-loop optimization of linear control systems

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