Robust adaptive control for single input/single output discrete systems via multi-model switching-Reference-Cited by-同舟云学术

Robust adaptive control for single input/single output discrete systems via multi-model switching

Published:2013-10-03 Issue:1 Volume:228 Page:42-48
ISSN:0959-6518
Container-title:Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering

Author:

Yu Lei¹²³,Fei Shumin²,Qian Wei⁴

Affiliation:

1. School of Mechanical and Electric Engineering, Soochow University, Suzhou, China

2. Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing, China

3. Key Laboratory of Advanced Control and Optimization for Chemical Processes, Shanghai, China

4. Henan Provincial Open Laboratory for Control Engineering Key Discipline, Jiaozuo, China

Abstract

A robust adaptive control method via multi-model switching for single input/single output discrete systems with unmodeled dynamics is presented. The key procedures of this control scheme have given a multi-model set, which is composed of multiple fixed controller models and two adaptive controller models to enhance the speed of computation, and index switching function, which is assured to be stable for the closed-loop systems. The control scheme is simple and practical to improve the dynamic system’s transient response and robustness and also has a broad future in engineering applications. Finally, simulation results are given to demonstrate the validity of the proposed method, which has high performance with a short tuning time, small overshoot and good robustness.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/0959651813499150

Reference18 articles.

1. A Combined Multiple Model Adaptive Control Scheme and Its Application to Nonlinear Systems With Nonlinear Parameterization

2. Multiple model adaptive reconfiguration control of state delayed systems

3. A new approach to adaptive control using multiple models

4. Discrete-time multivariable adaptive control

5. Adaptive control of discrete-time systems using multiple models

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