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- W2992379725 abstract "The paper considers a class of equality constrained resource allocation problems for dynamically coupled multi-agent systems. It is assumed that the mathematical structure of each agent’s dynamics and its local cost function are unknown but depend on the entire resource allocation vector. A distributed dual-mode extremum seeking control is proposed. It is shown that the distributed approach decouples the local contribution of each agent locally while guaranteeing a solution of the network wide optimization problem subject to the resource allocation constraints. The agents operate over a communication network which enables the application of a dynamic consensus algorithm to generate local estimates of the total network cost. Locally, each agent implements a parameter estimation routine to estimate the gradient of the total cost with respect to the local action. Each agent uses its local gradient estimate to implement a dual mode extremum seeking controller that guarantees satisfaction of the resource allocation constraints. Two simulation examples are provided to demonstrate the effectiveness of the proposed technique." @default.
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- W2992379725 date "2020-03-01" @default.
- W2992379725 modified "2023-10-16" @default.
- W2992379725 title "Distributed extremum seeking control of multi-agent systems with unknown dynamics for optimal resource allocation" @default.
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- W2992379725 doi "https://doi.org/10.1016/j.neucom.2019.11.086" @default.
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