Robust Adaptive Prescribed Performance Control for Unknown Nonlinear Systems With Input Amplitude and Rate Constraints

被引:14
作者
Trakas, Panagiotis S. [1 ]
Bechlioulis, Charalampos P. [1 ]
机构
[1] Univ Patras, Dept Elect & Comp Engn, Patras 26504, Greece
来源
IEEE CONTROL SYSTEMS LETTERS | 2023年 / 7卷
关键词
Prescribed performance control; input saturation; unknown systems; adaptive control; DESIGN; MAGNITUDE; VEHICLES;
D O I
10.1109/LCSYS.2023.3281346
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel approximation-free prescribed performance control scheme for unknown nonlinear systems with amplitude and rate saturation on the control input signal is designed in this letter. The proposed control strategy employs nested smooth saturation functions and introduces a reconciling relaxation of the performance constraints based on the actuator limitations. The straightforward gain selection along with the low complexity of the control scheme, simplifies the practical implementation of our algorithm. The adoption of the adaptive prescribed performance control technique ensures the desired trade-off between input and output constraints for any input-to-state stable (ISS) system. Inevitably, for generic systems, the boundedness properties are guaranteed only locally; thus, we provide a sufficient boundedness condition for all closed-loop signals. Finally, an illustrative simulation study is conducted to demonstrate the efficacy of the proposed approach.
引用
收藏
页码:1801 / 1806
页数:6
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