Adaptive dynamic programming-based stabilization of nonlinear systems with unknown actuator saturation

This paper addresses the stabilizing control problem for nonlinear systems subject to unknown actuator saturation by using adaptive dynamic programming algorithm. The control strategy is composed of an online nominal optimal control and a neural network (NN)-based feed-forward saturation compensator...

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Bibliographic Details
Published in:	Nonlinear dynamics Vol. 93; no. 4; pp. 2089 - 2103
Main Authors:	Zhao, Bo, Jia, Lihao, Xia, Hongbing, Li, Yuanchun
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.09.2018 Springer Nature B.V
Subjects:	Actuators Adaptive algorithms Adaptive control Automotive Engineering Classical Mechanics Computer simulation Control Control stability Control theory Dynamic programming Dynamical Systems Engineering Feedforward control Liapunov direct method Mechanical Engineering Neural networks Nonlinear analysis Nonlinear control Nonlinear systems Nonlinearity Optimal control Original Paper Saturation Stability analysis Vibration Unknown actuator saturation Continuous-time nonlinear systems Stabilizing control Adaptive dynamic programming Neural networks
ISSN:	0924-090X, 1573-269X
Online Access:	Get full text
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