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Prescribed Performance Adaptive Fuzzy Control for Affine Nonlinear Systems With State Constraints
IEEE Transactions on Fuzzy Systems ( IF 11.9 ) Pub Date : 2022-05-20 , DOI: 10.1109/tfuzz.2022.3175606
Liya Shen, Huanqing Wang, Hanxue Yue

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.

中文翻译:

具有状态约束的仿射非线性系统的规定性能自适应模糊控制

本文考虑了一类具有状态约束的仿射非线性系统的规定性能控制问题。模糊逻辑系统 (FLS) 用于处理未知的非线性函数。此外,引入加法变换和一对一映射方法来处理具有全状态约束的非线性系统的控制问题。然后,基于自适应反步控制,我们开发了一种新的规定性能自适应模糊控制方法,它不仅使跟踪误差被限制在规定的范围内,而且保证其他状态变量不违反预定义的约束。仿真实例验证了该控制方法的可行性。
更新日期:2022-05-20
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