Event-Triggered Mean-Square Consensus Control for Time-Varying Stochastic Multi-Agent System With Sensor Saturations

作者: Lifeng Ma , Zidong Wang , Hak-Keung Lam

DOI: 10.1109/TAC.2016.2614486

关键词: Matrix (mathematics)Upper and lower boundsEvent (probability theory)Network topologySet (abstract data type)Multi-agent systemTransient (computer programming)MathematicsControl theoryExpression (computer science)

摘要: In this technical note, the consensus control problem is investigated for a class of discrete time-varying stochastic multi-agent system subject to sensor saturations. An event-based mechanism adopted where each agent updates input signal only when pre-specified triggering condition violated. To reflect manner and characterize transient behavior, new index mean-square put forward quantify deviation level from individual average value all agents’ states. For fixed network topology, aim proposed design output-feedback controllers such that, at time step, closed-loop satisfies upper bound constraints certain mechanism. Both existence conditions explicit expression desired are established by resorting solutions set recursive matrix inequalities. illustrative simulation example utilized demonstrate usefulness algorithms.

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