Optimal Output Consensus for Nonlinear Multi-agent Systems with Both Static and Dynamic Uncertainties

Abstract

In this technical note, we investigate an optimal output consensus problem for heterogeneous uncertain nonlinear multi-agent systems. The considered agents are described by high-order nonlinear dynamics subject to both static and dynamic uncertainties. A two-step design, comprising sequential constructions of optimal signal generator and distributed partial stabilization feedback controller, is developed to overcome the difficulties brought by nonlinearities, uncertainties, and optimal requirements. Our study can not only assure an output consensus, but also achieve an optimal agreement characterized by a distributed optimization problem.

arXiv comment8 pages, 2 figures

References in corpus (3)

• Constrained Consensus
• Optimal Output Consensus of High-Order Multi-Agent Systems with Embedded Technique
• Distributed Optimization for a Class of High-order Nonlinear Multi-agent Systems with Unknown Dynamics

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• Achieving distributed convex optimization within prescribed time for high-order nonlinear multiagent systems
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• Nash Equilibrium Seeking for High-order Multi-agent Systems with Unknown Dynamics
• Optimal Output Consensus of Second-Order Uncertain Nonlinear Systems on Weight-Unbalanced Directed Networks
• Distributed Optimal Output Consensus of Uncertain Nonlinear Multi-Agent Systems over Unbalanced Directed Networks via Output Feedback
• Multi-agent Optimal Consensus with Unknown Control Directions