SUBOPTIMAL CONTROL OF NONLINEAR MULTI-AGENT SYSTEMS
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The article deals with the issue of robust suboptimal control for multi-agent systems which model is represented by differential equations with Lipschitz nonlinearity. It is assumed that only scalar subsystem outputs are available to measurement. An algorithm of decentralized control is obtained providing uncertainties compensation and subminimization of performance index with given accuracy.