Journal
IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 30, Issue 12, Pages 5351-5360Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2022.3175606
Keywords
Fuzzy logic control; nonlinear systems; prescribed performance control; state-constraints
Funding
- National Natural Science Foundation of China [62173046, 61773072, U21A20483]
- Education Department of Liaoning Province under the general project research [LJ2020001]
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This article discusses the problem of prescribed performance control for a class of affine nonlinear systems with state constraints. Fuzzy logic systems (FLSs) are used to handle unknown nonlinear functions. In addition, an additive transformation and one-to-one mapping method are introduced to solve the control problem of nonlinear systems with full-state constraints. Based on adaptive backstepping control, a new prescribed performance adaptive fuzzy control method is developed, which allows tracking error to be limited within the prescribed range and ensures that other state variables do not violate predefined constraints. Simulation examples verify the feasibility of this control method.
This article considers the problem of prescribed performance control for a class of affine nonlinear systems with state constraints. Fuzzy logic systems (FLSs) are employed to cope with unknown nonlinear functions. In addition, an additive transformation and one-to-one mapping method are introduced to handle the control problem of nonlinear systems with full-state constraints. Then, based on adaptive backstepping control, we develop a new prescribed performance adaptive fuzzy control method, which not only makes the tracking error be constrained within the prescribed range but also ensures the other state variables do not violate the predefined constraints. The simulation example verify the feasibility of the control method.
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