Adaptive Fuzzy Tracking Control Based Barrier Functions of Uncertain Nonlinear MIMO Systems With Full-State Constraints and Applications to Chemical Process

作者：Li, Dong-Juan; Lu, Shu-Min; Liu, Yan-Jun^*; Li, Da-Peng

来源：IEEE Transactions on Fuzzy Systems, 2018, 26(4): 2145-2159.

DOI：10.1109/TFUZZ.2017.2765627

• Adaptive fuzzy control
• barrier Lyapunov function
• full-state constraints
• the constraint control
• uncertain nonlinear systems

An adaptive control approach based on the fuzzy systems for a class of uncertain nonlinear multi-input multi-output (MIMO) systems is presented in this paper. This class of systems is in the nested multiple coupling structure and their states are constrained in the corresponding compact sets. The properties of the system structure are inevitable to bring about a complicated design and a difficult task. The fuzzy logic systems are employed to approximate the unknown functions of systems, and the decoupling backstepping way is proposed to design the stability controller and adaptation laws. Barrier Lyapunov functions (BLFs) are constructed in the backstepping design to guarantee that the constraint bounds are not violated. Based on Lyapunov analysis in harrier form, we can prove the stability of the closed-loop system. Two simulation examples are viewed to verify the feasibility of the approach.

• 出版日期2018-8
• 单位辽宁工业大学