Consensus for linear multi-agent system with intermittent information transmissions using the time-scale theory
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Publication:2792710
DOI10.1080/00207179.2015.1065544zbMath1332.93029OpenAlexW2254690736MaRDI QIDQ2792710
Michael Defoort, Fatima Zohra Taousser, Mohamed Djemai
Publication date: 14 March 2016
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207179.2015.1065544
Linear systems in control theory (93C05) Time-scale analysis and singular perturbations in control/observation systems (93C70) Decentralized systems (93A14) Control/observation systems governed by ordinary differential equations (93C15) Agent technology and artificial intelligence (68T42)
Related Items (13)
Leaderless and leader-following consensus of heterogeneous second-order multi-agent systems on time scales: an asynchronous impulsive approach ⋮ A dwell time approach for the stabilization of mixed continuous/discrete switched systems ⋮ State feedback stabilization of a class of uncertain nonlinear systems on non-uniform time domains ⋮ Observer design with exponential time-varying gain for Takagi-Sugeno fuzzy systems with continuous and aperiodic sampled outputs ⋮ Necessary and sufficient conditions for quadratic stabilizability of switched systems on non-uniform time domains ⋮ Prescribed-time bipartite consensus for signed directed networks on time scales ⋮ Asymptotic stability for nonlinear time-varying systems on time scales ⋮ On the consensus tracking investigation for multi-agent systems on time scale via matrix-valued Lyapunov functions ⋮ Distributed leader‐follower consensus for a class of semilinear second‐order multiagent systems using time scale theory ⋮ Mean square stability for systems on stochastically generated discrete time scales ⋮ Stability analysis of a class of switched nonlinear systems using the time scale theory ⋮ Results on abstract integro hybrid evolution system with impulses on time scales ⋮ Mean square consensus of double-integrator multi-agent systems under intermittent control: a stochastic time scale approach
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