An Adaptive Dynamic Programming Scheme for Nonlinear Optimal Control With Unknown Dynamics and Its Application to Turbofan Engines

In this article, a novel adaptive dynamic programming (ADP) approach is proposed for the optimal control problem of nonlinear continuous control systems with unknown dynamics. First, an alternating iteration algorithm based on Hamilton-Jacobi-Bellman equation is proposed for the optimal control of k...

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Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 17; H. 1; S. 367 - 376
Hauptverfasser:	Sun, Tao, Sun, Xi-Ming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive control Adaptive dynamic programming (ADP) Algorithms Approximation Approximation algorithms Basis functions Convergence convergence analysis Dynamic models Dynamic programming Dynamical systems Feedback control Fuel control global asymptotic stability Hamilton–Jacobi–Bellman (HJB) equation Heuristic algorithms Iterative algorithms Iterative methods Mathematical model Nonlinear control Nonlinear dynamical systems Nonlinear dynamics nonlinear optimal control Nonlinear systems Optimal control Tracking control Turbofan engines
ISSN:	1551-3203, 1941-0050
Online-Zugang:	Volltext
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