控制理论(社会学)
约束(计算机辅助设计)
模糊逻辑
控制(管理)
自适应控制
计算机科学
模糊控制系统
数学优化
数学
人工智能
几何学
作者
Zhimai Gao,Dapeng Li,Dong‐Juan Li,Lei Liu
标识
DOI:10.1177/10775463251365674
摘要
For time-varying constraints in nonlinear systems with unmeasured states, a finite-time fuzzy tracking control strategy is constructed. A state observer based on fuzzy logic systems (FLS) is applied to not only approximate the unknown nonlinear functions, but also estimate the unmeasured states in the system. In numerous real-world facilities, state constraints are commonly encountered, which is a crucial factor resulting in system instability. In the construction of an adaptive controller, barrier Lyapunov functions (BLFs) are adopted to handle full-state constraints, and assure that every system state remains within the specified constraints. According to finite-time stability, the stability of the closed-loop system is assured, and the output is well driven to achieve the desired tracking effect in finite-time. Finally, the validity of this approach is proved by simulations of a direct-current (DC) motor system and a typical nonlinear system, the continuous stirred tank reactor (CSTR).
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