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Distributed Constrained Optimization for General Second-Order Multiagent Systems
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DOI：10.1007/978-981-95-1103-7_30.png)
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Abstract
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This paper studies the distributed optimization problem for discrete-time general second-order multi-agent systems (MASs). In this problem, each agent is subject to individual set constraints. The agents collaborate to find the optimal solution of a global objective function, which is the sum of local objective functions, within the intersection of their constraint sets. A projection-based distributed event-triggered algorithm is proposed for general second-order systems, enabling agents to achieve consensus and gradually converge to the optimal solution while effectively reducing communication costs.
Keywords:
General second-order dynamics
Distributed optimization
Discrete-time systems
Multiagent systems
Set constraints
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