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A novel modeling and controlling approach for high‐order nonlinear systems
Author(s) -
Chen Lei,
Yan Yan,
Sun Changyin
Publication year - 2020
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2000
Subject(s) - nonlinear system , control theory (sociology) , computer science , sliding mode control , class (philosophy) , mode (computer interface) , tracking (education) , control (management) , control engineering , engineering , artificial intelligence , psychology , pedagogy , physics , quantum mechanics , operating system
Abstract This paper proposes a completely data–driven control law for a class of high–order nonlinear systems based on their virtual characteristic models. With sampled–data techniques and estimation methods, a novel lower–order adaptive characteristic model is constructed to reduce the system complexities. Moreover, a corresponding sliding mode control law is designed, which can guarantee tracking errors of the resulting closed‐loop system converging into a predefined bound in finite time. The practical examples are provided to illuminate the effectiveness of the proposed approaches.