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Fuzzy adaptive two‐bits‐triggered control for nonlinear uncertain system with input saturation and output constraint
Author(s) -
Chen Zicong,
Wang Jianhui,
Ma Kemao,
Huang Xing,
Wang Tao
Publication year - 2020
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.3098
Subject(s) - control theory (sociology) , constraint (computer aided design) , nonlinear system , fuzzy logic , hyperbolic function , fuzzy control system , transmission (telecommunications) , computer science , adaptive control , lyapunov function , saturation (graph theory) , transmission system , mathematical optimization , mathematics , control (management) , artificial intelligence , telecommunications , quantum mechanics , mathematical analysis , physics , geometry , combinatorics
Summary In this work, a fuzzy adaptive two‐bits‐triggered control is investigated for the nonlinear uncertain systems with input saturation and output constraint. The considered systems are more widespread. Without sufficient transmission resources, how to resolve the constraint issues while guarantee the control performance is difficult and challenging. Then, hyperbolic tangent function and barrier Lyapunov function are integrated with the designed auxiliary system to solve input saturation and output constraint. Meanwhile, faced with the transmission resources limitation, this work both considers the triggering condition and the control signal transmission bits. A two‐bits‐triggered control is proposed to economize the transmission resources. Furthermore, improved fuzzy logic systems are established to further promote the control performance. It combines with the time‐varying approximation error for processing. The boundedness of all the system signals can be proved. Simulation results illustrate the validity of the proposed approach.