Unified Fuzzy Control of High-Order Nonlinear With State Constraints

This article presents a unified adaptive fuzzy control approach for high-order nonlinear systems (HONSs) with multitype state constraints. Existing methods always require the upper and lower constraint boundaries are strictly positive and negative functions (or constants), respectively, which is often inconsistent with the actual constraints. In this article, multitype state constraint means that the upper and lower constraint boundaries include multiple types, such as both being strictly positive (or negative), sometime be positive or negative, and so on (cases 172-177). By designing a unified mapping function (UMF), the multitype state constraints are processed under removal the feasibility conditions (FCs). Furthermore, a technical design makes the proposed method also applicable to unconstrained HONSs without changing the control structure. By means of a fuzzy-logic system (FLS) and fixed-time stability theory (FTST), the proposed algorithm can ensure that the tracking error converges to a zero-centered neighborhood within a fixed time, and the singularity which often appears in the existing fixed-time control (FTC) methods of HONSs is effectively avoided. Simulation results demonstrate the scheme developed.

Automated summary

This article presents a unified adaptive fuzzy control approach for high-order nonlinear systems with multitype state constraints. By designing a unified mapping function, the multitype state constraints are processed under removal of the feasibility conditions. The proposed algorithm ensures that the tracking error converges to a zero-centered neighborhood within a fixed time and avoids the singularity that often appears in existing fixed-time control methods.