Non-fragile estimation for discrete-time T--S fuzzy systems with event-triggered protocol
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Publication:3297097
DOI10.14736/kyb-2020-1-0057zbMath1474.93214OpenAlexW3018523889MaRDI QIDQ3297097
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Publication date: 2 July 2020
Published in: Kybernetika (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10338.dmlcz/148097
robust optimizationTakagi-Sugeno fuzzy systemexponentially ultimately boundnessnon-fragile estimation
Fuzzy control/observation systems (93C42) Multivariable systems, multidimensional control systems (93C35) Estimation and detection in stochastic control theory (93E10) Delay control/observation systems (93C43)
Related Items (2)
Event-triggered non-fragile state estimator design for interval type-2 Takagi-Sugeno fuzzy systems with bounded disturbances ⋮ Recursive filtering for time-varying systems under duty cycle scheduling based on collaborative prediction
Cites Work
- Delay-independent stabilization of a class of time-delay systems via periodically intermittent control
- Fuzzy control systems with time-delay and stochastic perturbation. Analysis and synthesis
- Filtering and fault detection for nonlinear systems with polynomial approximation
- Non-fragile \(\mathcal{H}_{\infty}\) filtering for delayed Takagi-Sugeno fuzzy systems with randomly occurring gain variations
- A recursive approach to non-fragile filtering for networked systems with stochastic uncertainties and incomplete measurements
- An event-triggered approach to distributed \(H_\infty\) state estimation for state-saturated systems with randomly occurring mixed delays
- Distributed non-fragile filtering for T-S fuzzy systems with event-based communications
- \(H_{\infty}\) filtering for nonlinear networked systems with randomly occurring distributed delays, missing measurements and sensor saturation
- A note on guaranteed cost control for nonlinear stochastic systems with input saturation and mixed time-delays
- Distributed resilient estimation over sensor networks for nonlinear time‐delayed systems with stochastic perturbations
- Delay-Dependent Guaranteed Cost Control for T–S Fuzzy Systems With Time Delays
- Fuzzy identification of systems and its applications to modeling and control
- Quantised polynomial filtering for nonlinear systems with missing measurements
- Probabilistic‐constrained filtering for a class of nonlinear systems with improved static event‐triggered communication
- State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays
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