A Discrete-time Integral Sliding Mode Predictive Control Using Iterative Dynamic Linearization Data Model

The current study presents a data-driven integral sliding mode predictive control method for a category of discrete-time repetitive nonlinear systems. At first, a compact form of iterative dynamic linearization (IDL) technology is utilized to establish an IDL data model. Then, considering the time a...

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Veröffentlicht in:	International journal of control, automation, and systems Jg. 21; H. 7; S. 2293 - 2302
Hauptverfasser:	Hou, Mingdong, Pan, Weigang, Han, Yaozhen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.07.2023 Springer Nature B.V 제어·로봇·시스템학회
Schlagworte:	Control Control methods Control systems design Controllers Convergence Data models Design parameters Discrete time systems Engineering Iterative methods Linearization Mathematical analysis Mechatronics Nonlinear systems Parameter estimation Predictive control Regular Papers Robotics Sliding mode control Tracking errors 제어계측공학 integral sliding mode Dynamic linearization nonlinear system iterative learning control
ISSN:	1598-6446, 2005-4092
Online-Zugang:	Volltext
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