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Agent-supervisor coordination for decentralized event-triggered optimization
P. Srivastava, G. Cavraro, J. Cortés
IEEE Control Systems Letters 6 (2022), 1970-1975

Abstract

This paper proposes a decentralized resource-aware coordination scheme for solving network optimization problems defined by objective functions which combine locally evaluablecosts with network-wide coupling components. This method iswell suited for a group of supervised agents trying to solvean optimization problem under mild coordination requirements. Each agent has information on its local cost and coordinates with the network supervisor for information about the coupling term of the cost. The proposed approach is feedback-basedand asynchronous by design, guarantees anytime feasibility, and ensures the asymptotic convergence of the network state to the desired optimizer. Numerical simulations on a power system example illustrate our results.

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