Adaptive Fuzzy Tracking Control for a Class of Uncertain Switched Nonlinear Systems With Full-State Constraints and Input Saturations

In this article, an adaptive fuzzy tracking control scheme is developed for a class of uncertain switched nonlinear systems with input saturations and full-state constraints. First to surmount the design difficulty with respect to a saturation nonlinearity controller, a nonlinear smooth function app...

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Bibliographic Details
Published in:IEEE transactions on cybernetics 2021-12, Vol.51 (12), p.6054-6065
Main Authors: Wu, Li-Bing, Park, Ju H., Xie, Xiang-Peng, Zhao, Nan-Nan
Format: Article
Language:English
Subjects:
Adaptive control
Adaptive fuzzy control
Adaptive systems
Algorithms
average dwell time
Computer Simulation
Control systems design
Controllers
Differential calculus
Dwell time
full-state constraints
Fuzzy control
Fuzzy Logic
Fuzzy systems
input saturation
Liapunov functions
Linear systems
Lyapunov methods
Neural Networks, Computer
Nonlinear control
Nonlinear Dynamics
Nonlinear systems
Nonlinearity
Output feedback
Saturation
switched nonlinear system
Switches
Tracking control
Tracking errors
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Summary:In this article, an adaptive fuzzy tracking control scheme is developed for a class of uncertain switched nonlinear systems with input saturations and full-state constraints. First to surmount the design difficulty with respect to a saturation nonlinearity controller, a nonlinear smooth function approximating the nondifferential saturation function is introduced to establish a standard switched adaptive tracking control strategy based on the mean-value theorem and the input compensation technique. Then, invoking fuzzy-logic systems (FLSs), a novel analysis method of average dwell time for switched nonlinear systems with full-state constraints is proposed by using an artful logarithmic inequality. Furthermore, the designed adaptive controller can ensure that all the states of uncertain switched nonlinear systems are not to violate the set constraint bounds by employing barrier Lyapunov functions (BLFs), and that the system output tracking error can converge to a desired neighborhood of the origin within a suitable compact set. Finally, the simulation results are given to demonstrate the validity of the presented approach.
ISSN:2168-2267
2168-2275
DOI:10.1109/TCYB.2020.2965800