Detection and stabilization for discrete-time descriptor systems via a limited capacity communication channel

DOI10.1016/j.automatica.2009.05.022zbMath1179.93153OpenAlexW2083971450MaRDI QIDQ1049088

Lei Zhou, Guo-Ping Lu

Publication date: 8 January 2010

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2009.05.022

zbMATH Keywords

stabilizationlinear matrix inequalitydetectionlimited informationdiscrete descriptor system

Mathematics Subject Classification ID

Linear inequalities of matrices (15A39) Discrete-time control/observation systems (93C55) Adaptive or robust stabilization (93D21)

Related Items (12)

Stabilization of networked singular control systems under double-channel quantization and DoS attacks ⋮ Distributed set-membership filtering for time-varying systems: a coding-decoding-based approach ⋮ Cooperative fault-tolerant tracking control for multi-agent systems: a multiple description encoding scheme ⋮ Stabilization of linear discrete-time systems over resource-constrained networks under dynamical multiple description coding scheme ⋮ A component-based coding-decoding approach to set-membership filtering for time-varying systems under constrained bit rate ⋮ A note on the existence of a solution and stability for Lipschitz discrete-time descriptor systems ⋮ Decentralized robust set-valued state estimation in networked multiple sensor systems ⋮ Partial eigenvalue assignment in continuous-time descriptor systems via derivative state feedback ⋮ Networked control for singular systems over unreliable channel with limited capacity ⋮ Adaptive feedback synchronisation of complex dynamical network with discrete-time communications and delayed nodes ⋮ Endec-decoder-based \(N\)-step model predictive control: detectability, stability and optimization ⋮ Fault estimation for descriptor linear systems based on the generalised dynamic observer

Cites Work

• State estimation via limited capacity noisy communication channels
• Singular control systems
• Observer design for general linear time-invariant systems
• On the model-based control of networked systems
• Robust control and filtering of singular systems.
• Static and dynamic quantization in model-based networked control systems
• Design of observers for descriptor systems
• Set-valued state estimation via a limited capacity communication channel
• Detectability and Output Feedback Stabilizability of Nonlinear Networked Control Systems
• ${\cal H}_{\infty}$ Estimation for Uncertain Systems With Limited Communication Capacity

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