Cooperative Synchronization Control and Filtering

Abstract

AbstractThis chapter investigates output synchronization of heterogeneous time-delay discrete-time multiagent systems via output couplings. Firstly, sufficient conditions are provided to guarantee dissipativity for an individual agent modeled by the descriptor dynamics. A distributed consensus protocol based on the outputs of the neighboring agents is proposed to show that the individual dissipativity leads to output synchronization of the overall multiagent system. The proposed synchronization scheme exhibits a strong robustness facing norm-bounded uncertainties. Moreover, the counterpart of the result of the cooperation based on dissipativity for the multiagent system with event-triggering mechanism is also investigated. The proposed triggering mechanism and the consensus protocol solve the synchronization for all admissible uncertainties and time-varying delay. In the second part, a set-membership filtering-based leader–follower synchronization protocol for discrete-time linear multiagent systems is proposed, wherein the aim is to make the agents synchronize with a leader. The agents, governed by identical high-order discrete-time linear dynamics, are subject to unknown-but-bounded input disturbances. In terms of its own state information, each agent only has access to measured outputs that are corrupted with unknown-but-bounded output disturbances. Also, the initial states of the agents are unknown. To deal with all these unknowns (or uncertainties), a set-membership filter (or state estimator), having the “correction-prediction” form of a standard Kalman filter, is formulated. We consider each agent to be equipped with this filter that estimates the state of the agent and consider the agents to be able to share the state estimate information with the neighbors locally. The corrected state estimates of the agents are utilized in the local control law design for synchronization. Under appropriate conditions, the global disagreement error between the agents and the leader is shown to be bounded. An upper bound on the norm of the global disagreement error is calculated and shown to be monotonically decreasing. Finally, simulation examples are included to illustrate the effectiveness of the proposed set-membership filter and the proposed leader–follower synchronization protocol.KeywordsMultiagent systemsCooperative controlSynchronizationSet-membership filteringOptimization