Saturation-Tolerant Prescribed Control of MIMO Systems With Unknown Control Directions

被引:38
作者
Ji, Ruihang [1 ]
Li, Dongyu [2 ]
Ma, Jie [3 ]
Ge, Shuzhi Sam [1 ]
机构
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore, Singapore
[2] Beihang Univ, Sch Cyber Sci & Technol, Beijing 100191, Peoples R China
[3] Harbin Inst Technol, Dept Control Sci & Engn, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Actuator faults; finite-time stability; input saturation; multiinput and multioutput (MIMO) nonlinear systems; prescribed performance control (PPC); ADAPTIVE NEURAL-CONTROL; VARYING DELAY SYSTEMS; NONLINEAR-SYSTEMS; TRACKING CONTROL; PERFORMANCE CONTROL; ROBUST-CONTROL; FUZZY CONTROL; STABILIZATION; INPUT; STATE;
D O I
10.1109/TFUZZ.2022.3166244
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this article, we investigate the saturation-tolerant prescribed control (SPC) for multiinput and multioutput nonlinear systems with unknown control directions and actuator faults. We propose a concise tunnel prescribed performance (TPP) with the control design independent of initial conditions and smaller overshoots achieved due to its tight feasible region. A novel auxiliary system, to tactfully establish a feedback mechanism between input saturation and prescribed performance, is constructed. By introducing the generated nonnegative modifications into the TPP, the resulted saturation-tolerant prescribed performance (SPP) is capable of flexibly degrading performance constraints in the case of saturation; and recovering back to the user-specified performance in the case without saturation. Furthermore, the proposed control scheme guarantees not only finite-time convergence, but also SPP-constrained tracking performance despite the input saturation and uncertainties. Finally, comparative results are provided to demonstrate the distinctive merit of the proposed SPC more than the traditional prescribed performance control.
引用
收藏
页码:5116 / 5127
页数:12
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