Adaptive output-feedback quadratic tracking control of continuous-time systems via value iteration with its application

DOI10.1049/IET-CTA.2020.0255zbMATH Open1542.93218MaRDI QIDQ6611611

Weijie Sun, Qingqing Meng, Yunjian Peng

Publication date: 26 September 2024

Published in: IET Control Theory \& Applications (Search for Journal in Brave)

zbMATH Keywords

stabilityoptimal controllinear systemsdynamic programmingadaptive controlfeedbackobserversiterative methodsnonlinear control systemsvalue iterationdiscrete time systemsexistence conditionscontinuous-time systemscontinuous time systemsclosed loop systemslinear quadratic controlcontrol system synthesiscontinuous-time linear systemspolicy iteration methodlearning schemeneurocontrollerslearning (artificial intelligence)adaptive output-feedback quadratic tracking controladaptive output-feedback tracking control schemeaugmented system statesinfinite-horizon linear quadratic tracking solutioninitial stabilising control policy requirementintegral reinforcement learning techniqueLQT solutionneural network-based adaptive observeronline learning solutionOPFB controlOPFB solutionphotovoltaic power systemssystem drift dynamicsVI algorithm

Mathematics Subject Classification ID

Feedback control (93B52) Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Linear-quadratic optimal control problems (49N10)

Cites Work

• Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics
• Robust adaptive dynamic programming for linear and nonlinear systems: an overview
• Adaptive optimal control for continuous-time linear systems based on policy iteration
• Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning
• Approximate Dynamic Programming
• Output‐feedback H_∞ quadratic tracking control of linear systems using reinforcement learning
• Nonlinear Output Regulation

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