Event‐triggered filter design for Markovian jump delay systems with nonlinear perturbation using quantized measurement

DOI10.1002/RNC.4645zbMath1426.93343OpenAlexW2963572827WikidataQ127455139 ScholiaQ127455139MaRDI QIDQ5241764

Shengyuan Xu, Wei-Feng Xia, Wei Xing Zheng

Publication date: 1 November 2019

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.4645

zbMATH Keywords

quantization nonlinear perturbation Markovian jump systems event-triggered scheme mixed passivity and \(H_\infty\) filter

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Perturbations in control/observation systems (93C73) (H^infty)-control (93B36) Discrete event control/observation systems (93C65)

Related Items (11)

Event-triggered filtering for discrete-time Markovian jump systems with additive time-varying delays ⋮ Event‐triggered H_∞ filtering for nonlinear discrete‐time stochastic systems with application to vehicle roll stability control ⋮ Finite‐time boundedness of sliding mode control under periodic event‐triggered strategy ⋮ Dynamic event‐triggered control for Markovian jump linear systems with time‐varying delay ⋮ Event‐triggered positive L₁ filter design for positive Markovian jump systems with quantization ⋮ Combined H_∞ and anti‐disturbance control for semi‐Markovian jump systems via a nonlinear disturbance observer ⋮ A novel H_∞ memory observer design for uncertain switched nonlinear systems using past output measurements ⋮ Design of optimal FIR filters using integrated optimization technique ⋮ Reliable filter design for discrete-time neural networks with Markovian jumping parameters and time-varying delay ⋮ Fixed-time continuous stochastic synchronisation of two-layer dynamical networks ⋮ Event-triggeredH_∞filtering for singularly perturbed systems with external disturbance

This page was built for publication: Event‐triggered filter design for Markovian jump delay systems with nonlinear perturbation using quantized measurement