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Event‐triggered control for a class of strict‐feedback nonlinear systems
Author(s) -
Zhang CuiHua,
Yang GuangHong
Publication year - 2019
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.4481
Subject(s) - backstepping , control theory (sociology) , lyapunov function , nonlinear system , computer science , convergence (economics) , class (philosophy) , property (philosophy) , control (management) , lyapunov redesign , state (computer science) , adaptive control , mathematics , algorithm , artificial intelligence , philosophy , physics , epistemology , quantum mechanics , economics , economic growth
Summary This paper is concerned with the event‐triggered control problem for a class of strict feedback nonlinear networked systems. Different from the existing design methods, a novel user‐adjustable event‐triggered mechanism is first developed to determine the sampling state instants using the negative definite property of the derivatives of Lyapunov functions. Then, an event‐triggered control strategy is devised based on the sampled state vectors and backstepping techniques. It is proved that the proposed control scheme ensures the global convergence of the closed‐loop systems via Lyapunov analyses and the correlation criteria of real variable functions. Finally, two examples are performed to illustrate the effectiveness of the provided control approaches.