The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Distributed Nash equilibrium seeking for aggregative games with coupled constraints
Open accessAbstract
Abstract In this paper, we study a distributed continuous-time design for aggregative games with coupled constraints in order to seek the generalized Nash equilibrium by a group of agents via simple local information exchange. To solve the problem, we propose a distributed algorithm based on projected dynamics and non-smooth tracking dynamics, even for the case when the interaction topology of the multi-agent network is time-varying. Moreover, we prove the convergence of the non-smooth algorithm for the distributed game by taking advantage of its special structure and also combining the techniques of the variational inequality and Lyapunov function.
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Cites
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Distributed Subgradient Methods for Multi-Agent Optimization
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Self-citationDistributed Algorithms for Aggregative Games on Graphs
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Distributed Average Tracking of Multiple Time-Varying Reference Signals With Bounded Derivatives
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Distributed Nash equilibrium seeking: A gossip-based algorithm
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Self-citationGame Design and Analysis for Price-Based Demand Response: An Aggregate Game Approach
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Distributed Power Allocation With Rate Constraints in Gaussian Parallel Interference Channels
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Nash Equilibrium Computation in Subnetwork Zero-Sum Games With Switching Communications
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Self-citationGeneralized Nash Equilibria for the Service Provisioning Problem in Cloud Systems
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Dynamic Incentives for Congestion Control
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Metadata
- Authors
- Liang, S., Yi, P., & Hong, Y.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 85
- Pages
- 179-185
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W2519129141
- Cited by
- 328
- References
- 17
- FWCI
- 15.41
- Type
- journal article
- Language
- en
- Open access
- green
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