Abstract
SummaryIn this note, a distributed dynamic integrated system optimization and parameter estimation (DISOPE) algorithm for nonlinear multiagent system with general local finite time horizon performance index is proposed, which integrates the model optimization and parameter estimation techniques. Two difficult issues for optimal consensus problem, nonlinear multiagent system and nonlinear quadratic performance index, are considered. With the help of DISOPE algorithm, a distributed optimal control policy is designed to minimize the local performance index in finite time horizon. Furthermore, the convergence of distributed DISOPE algorithm is given, such that the convergence solution satisfies the optimality conditions. Finally, a simulation is employed to show the effectiveness of the distributed DISOPE algorithm.
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