Event-Triggered Dissipative Observer-Based Control for Delay Dependent T–S Fuzzy Singular Systems

• Main Authors: Rizwan Ullah, Yinya Li, Muhammad Shamrooz Aslam, Andong Sheng
• Format: Article
• Language: English
• Published: IEEE 2020-01-01
• Series: IEEE Access
• Subjects: T–S fuzzy singular systems; fuzzy Lyapunov-Krasovskii functionals; time-varying delay; linear matrix inequalities (LMIs)
• Online Access: https://ieeexplore.ieee.org/document/9146146/

This paper investigates the problem of event-triggered dissipative observer-based output feedback control for a class of Takagi-Sugeno (T-S) fuzzy singular systems with unavailable states, time-varying delays, and imprecise membership functions. The considered singular system is presented as a T-S fuzzy singular system which gives a more realistic presentation for a variety of non-linear dynamical systems than conventional state space representation. The general framework we designed is based on a fuzzy observer-based controller with time varying delay along with extended dissipativity, which provides the H∞, L2-L∞ and dissipative performance indices and is robust against the disturbances and time-varying delay. Moreover, a novel Lyapunov-Krasovskii functional is adopted to analyze the closed loop stability of the fuzzy system. The solvability of Lyapunov-Krasovskii functional results in the formation of linear matrix inequalities. The controller and observer gains can be obtained by solving the linear matrix inequalities. Simulations are performed to validate the proposed scheme.