Finite-time \(H_\infty\) sampled-data reliable control for a class of Markovian jump systems with randomly occurring uncertainty via T-S fuzzy model

DOI10.1007/s11424-021-0220-3zbMath1495.93074OpenAlexW3208605434MaRDI QIDQ2165431

Yanyan Li

Publication date: 19 August 2022

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-021-0220-3

zbMATH Keywords

sampled-data controlMarkovian jump systemT-S fuzzy modelactuator fault controlfinite-time \(H_\infty\) bounded

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) (H^infty)-control (93B36) Sampled-data control/observation systems (93C57) Stochastic systems in control theory (general) (93E03) Finite-time stability (93D40)

Related Items (2)

Novel distance measures based on complex fuzzy sets with applications in signals ⋮ Input-output finite-time guaranteed cost control for time-varying systems based on an aperiodic adaptive event-triggered mechanism

Cites Work

• Stability analysis of continuous-time Markovian jump time-delay systems with time-varying transition rates
• A sliding mode approach to robust stabilisation of Markovian jump linear time-delay systems with generally incomplete transition rates
• Exponential stabilization for fuzzy sampled-data system based on a unified framework and its application
• Sensor fault estimation and fault-tolerant control for a class of Takagi-Sugeno Markovian jump systems with partially unknown transition rates based on the reduced-order observer
• Event-triggered dynamic output feedback control for networked Markovian jump systems with partly unknown transition rates
• Robust \(H_\infty\) sliding mode control for nonlinear stochastic T-S fuzzy singular Markovian jump systems with time-varying delays
• Stability and stabilization of singular Markovian jump systems by dynamic event-triggered control strategy
• Non-fragile sampled data control for stabilization of non-linear multi-agent system with additive time varying delays, Markovian jump and uncertain parameters
• Finite-time stochastic boundedness of Markovian jump systems: a sliding-mode-based hybrid design method
• Extended dissipativity-based non-fragile sampled-data control of fuzzy Markovian jump systems with incomplete transition rates
• Extended dissipative synchronization for semi-Markov jump complex dynamic networks via memory sampled-data control scheme
• Robust \(H_2/H_\infty\) fuzzy filtering for nonlinear stochastic systems with infinite Markov jump
• Finite-time \(H_\infty\) sliding mode control for uncertain singular stochastic system with actuator faults and bounded transition probabilities
• Sampled-data-based dissipative control of t-s fuzzy systems
• Sampled-data control for continuous-time Markovian jump linear systems via a fragmented-delay state and its state-space model
• Finite-time control for Markovian jump systems subject to randomly occurring quantization
• Fuzzy identification of systems and its applications to modeling and control
• Finite‐time boundedness of switched systems with time‐varying delays via sampled‐data control
• Impulsive method to reliable sampled-data control for uncertain fractional-order memristive neural networks with stochastic sensor faults and its applications

This page was built for publication: Finite-time \(H_\infty\) sampled-data reliable control for a class of Markovian jump systems with randomly occurring uncertainty via T-S fuzzy model