JOURNAL ARTICLE

Fixed-Time Command-Filtered Control for Nonlinear Systems with Mismatched Disturbances

Zhiqiang WuJ. Andrew ZhangLei XingLiyang Sun

Year: 2024 Journal:   Mathematics Vol: 12 (23)Pages: 3816-3816   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

This article concerns the issue of adaptive fuzzy command-filtered fixed-time control in the context of a category of nonlinear systems characterized by mismatched disturbances and unknown nonlinear functions. The backstepping-based disturbance observers are created to alleviate the effects of mismatched disturbances and Fuzzy logic systems are brought into play to model those terms that are unknown. To address the complexity explosion issue in traditional backstepping control, this paper utilizes fixed-time command filters (FTCFs) to design a novel control approach. Moreover, filtering error compensation mechanisms are developed to eliminate the errors introduced by the FTCFs. This paper derives a novel adaptive fixed-time control protocol that successfully conquers the difficulties posed by unknown nonlinear functions and mismatched disturbances. The protocol, implemented within a backstepping framework, guarantees the boundedness of all signals and tracking errors within fixed time. The efficacy of the derived control protocol is illustrated through simulation examples.

Keywords:
Control theory (sociology) Nonlinear system Computer science Mathematics Control (management) Physics Artificial intelligence

Metrics

2
Cited By
1.27
FWCI (Field Weighted Citation Impact)
55
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Iterative Learning Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Control Systems and Identification
Physical Sciences →  Engineering →  Control and Systems Engineering
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