Adaptive Fuzzy Tracking Control for a Class of Uncertain Nonlinear Systems With Improved Prescribed Performance

2024/11/25 by Faxiang Zhang, Pengshuai Dai, Jing Na +3
Computer Science · Engineering · #Adaptive Control of Nonlinear Systems #Advanced Algorithms and Applications #Fuzzy Logic and Control Systems

paper · doi:10.1109/tfuzz.2024.3506818

openalex publication_date 2024/11/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/17

Abstract

This article addresses the tracking control problem of uncertain nonlinear strict-feedback systems. First, to enhance the tracking performance of control system, an improved prescribed performance function (PPF) is constructed, which yields that the convergence accuracy of tracking error can reach a preset factor than that of the traditional PPF-based control method. Then, the fuzzy logic system (FLS) is used to approximate the unknown nonlinear dynamics on a compact set integrated by an ideal controller, from which an adaptive fuzzy control law is designed by combining the improved PPF and FLS. The stability of closed-loop system and the convergence of tracking error are analyzed in the Lyapunov sense. Finally, simulation and experimental results show the feasibility and effectiveness of the proposed method.

Citations

• Fuzzy basis functions, universal approximation, and orthogonal least-squares learning

Related

• Adaptive Fuzzy Tracking Control with Global Prescribed-Time Prescribed Performance for Uncertain Strict-Feedback Nonlinear Systems
• Adaptive Fuzzy Control of Nonlinear Systems With Predefined Time and Accuracy
• Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems With Time-Varying Constraints and Input Saturations
• Finite-Time Adaptive Fuzzy Tracking Control for Nonlinear State Constrained Pure-Feedback Systems
• Adaptive Fuzzy Tracking Control for Nonlinear State Constrained Pure-Feedback Systems With Input Delay via Dynamic Surface Technique