Output feedback control of networked systems with a stochastic communication protocol

DOI10.1016/j.jfranklin.2016.02.009zbMath1367.93624OpenAlexW2345092863MaRDI QIDQ2012101

Yu-Chu Tian, Jin Zhang, Chen Peng, Min-Rui Fei

Publication date: 28 July 2017

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://eprints.qut.edu.au/93562/1/FI-D-15-01057_edit_withPubInfor.pdf

zbMATH Keywords

output feedback controlunknown transition probabilitiesnetworked control systems (NCSs)discrete-time Markov chainstochastic communication protocolmean-square stability and stabilization

Mathematics Subject Classification ID

Feedback control (93B52) Stochastic network models in operations research (90B15) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Stochastic stability in control theory (93E15) Stochastic systems in control theory (general) (93E03)

Related Items (8)

Event-triggered nonlinear filtering for networked systems with correlated noises ⋮ Robust finite-time fault-tolerant control for networked control systems with random delays: a Markovian jump system approach ⋮ New Event-Triggered scheme of Observer Based Feedback Control for Delay T-S Fuzzy Systems with Imperfect Premises under Nonlinear Term ⋮ Model predictive control for nonlinear systems in Takagi-Sugeno's form under round-robin protocol ⋮ Modelling and optimal control of networked systems with stochastic communication protocols ⋮ Networked \(H_\infty\) filtering under a weighted TOD protocol ⋮ Optimal distributed filtering for nonlinear saturated systems with random access protocol and missing measurements: the uncertain probabilities case ⋮ Communication-protocol-based analysis and synthesis of networked systems: progress, prospects and challenges

Cites Work

• Fault tolerant control for systems with interval time-varying delay and actuator saturation
• Stability analysis of networked control systems with round-robin scheduling and packet dropouts
• Control strategy with adaptive quantizer's parameters under digital communication channels
• \( H_\infty\) control for networked systems with multiple packet dropouts
• Reciprocally convex approach to stability of systems with time-varying delays
• On hold or drop out-of-order packets in networked control systems
• Output-feedback control design for NCSs subject to quantization and dropout
• Communication and control co-design for networked control systems
• Observer-based \(\mathcal{H}_\infty\) control of networked systems with stochastic communication protocol: the finite-horizon case
• A delay distribution based stability analysis and synthesis approach for networked control systems
• Robust \(H_\infty\) control for uncertain networked systems with communication constraints
• Discrete Wirtinger-based inequality and its application
• Distributed event-triggered control for consensus of multi-agent systems
• Wirtinger-based integral inequality: application to time-delay systems
• Improved results for linear discrete-time systems with an interval time-varying input delay
• A piecewise analysis method to stability analysis of linear continuous/discrete systems with time-varying delay
• Networked Control With Stochastic Scheduling
• Stability of Discrete-Time Systems With Time-Varying Delays via a Novel Summation Inequality
• Stabilization of linear discrete‐time networked control systems via protocol and controller co‐design
• Sufficient LMI conditions for output feedback control problems
• Stabilization of Networked Control Systems With a Logic ZOH
• <tex>$H_infty$</tex>Control for Networked Systems With Random Communication Delays
• New Results on Stability of Discrete-Time Systems With Time-Varying State Delay
• Static Output Feedback Control Synthesis for Linear Systems With Time-Invariant Parametric Uncertainties
• New Stability Criteria for Linear Discrete-Time Systems With Interval-Like Time-Varying Delays
• Stability of time-delay systems

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