Adaptive multiple model control for a class of nonlinear discrete time systems: second-level adaption design approach

In this study, a multiple model control scheme based on a second-level adaption design approach is established for a class of nonlinear discrete time systems. The nonlinear function of systems is relaxed to zero-order bounded. In the first-level adaption, N identification models are employed to esti...

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Bibliographic Details
Published in:International journal of control 2023-02, Vol.96 (2), p.497-507
Main Authors: Zhang, Yan-Qi, Wang, Xin, Wang, Zhen-Lei
Format: Article
Language:English
Subjects:
Adaptive control
Controllers
Convexity
discrete time
Discrete time systems
Mathematical models
multiple model set
Nonlinear systems
Parameter identification
second-level adaption
Tracking errors
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Summary:In this study, a multiple model control scheme based on a second-level adaption design approach is established for a class of nonlinear discrete time systems. The nonlinear function of systems is relaxed to zero-order bounded. In the first-level adaption, N identification models are employed to estimate unknown parameters, which can weaken the effect of unknown parameters. The convex hull property based on all identification models is constructed, which ensures that the convex hull identified parameters converge to the real value rapidly. Compared with the existing multiple model controller, the actual controller is developed by a convex hull for the identification of unknown parameters and it can avoid some potential drawbacks of the switch mechanism. In the constructed scheme, the discrete time system is bounded input bounded output (BIBO) and the tracking error is bounded. Finally, a simulation example is presented to validate the proposed scheme.
ISSN:0020-7179
1366-5820
DOI:10.1080/00207179.2021.2004447