A new framework for output feedback controller design for a class of discrete-time stochastic nonlinear system with quantization and missing measurement

DOI10.1080/03081079.2015.1106737zbMath1342.93100OpenAlexW2344525069MaRDI QIDQ2817106

Yurong Liu, Dan Liu, Fuad Eid S. Alsaadi

Publication date: 29 August 2016

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03081079.2015.1106737

zbMATH Keywords

linear matrix inequalityquantizationoutput feedback controlLyapunov-Krasovskii functionalmissing measurements

Mathematics Subject Classification ID

Feedback control (93B52) Discrete-time control/observation systems (93C55) White noise theory (60H40) Stochastic systems in control theory (general) (93E03)

Related Items (9)

Sampled-based consensus of multi-agent systems with bounded distributed time-delays and dynamic quantisation effects ⋮ Observer-based memory consensus for nonlinear multi-agent systems with output quantization and Markov switching topologies ⋮ Event-based input and state estimation for linear discrete time-varying systems ⋮ Exponential stabilization of nonlinear switched systems with distributed time-delay: an average dwell time approach ⋮ Recursive filtering for stochastic parameter systems with measurement quantizations and packet disorders ⋮ Centralized security-guaranteed filtering in multirate-sensor fusion under deception attacks ⋮ Envelope-constrained \(H_\infty\) filtering for nonlinear systems with quantization effects: the finite horizon case ⋮ Distributed quantized multi-modal \(H_\infty\) fusion filtering for two-time-scale systems ⋮ Tobit Kalman filter with channel fading and dead-zone-like censoring

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