控制理论(社会学)
圆锥截面
非线性系统
观察员(物理)
残余物
故障检测与隔离
数学
断层(地质)
控制器(灌溉)
线性矩阵不等式
模糊逻辑
李雅普诺夫函数
计算机科学
数学优化
算法
控制(管理)
人工智能
地震学
地质学
生物
农学
物理
量子力学
几何学
作者
B. Vigneshwar,M. Syed Ali,Rubeshan Perumal,Mourad Kchaou,Mohamed Amine Regaieg,Houssem Jerbi
标识
DOI:10.1080/00207160.2024.2353182
摘要
In this study, control and fault detection are examined for Takagi–Sugeno (T–S) fuzzy continuous-time systems with conic-type nonlinearity. In a conic-type dynamic system, Takagi–Sugeno fuzzy models are applied. A conic-type non-linearity must lie in an n-dimensional hyper-sphere with an uncertain centre to satisfy the restrictive condition. A combined error system of estimation and control error is obtained by combining the observations and the controller. Our main goal is to design an observer and controller for fault detection that minimizes the impact of unknown inputs and faults on the system in terms of the H∞ performance. The Lyapunov function is used to construct the residual signal using an observer and a controller. Using Linear Matrix Inequalities (LMIs), we can express the performance conditions for H∞. The scheme's effectiveness is demonstrated with numerical examples.
科研通智能强力驱动
Strongly Powered by AbleSci AI