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- Publisher Website: 10.1109/TAC.2023.3343346
- Scopus: eid_2-s2.0-85180303122
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Article: Distributed Feedback Optimization of Nonlinear Uncertain Systems Subject to Inequality Constraints
Title | Distributed Feedback Optimization of Nonlinear Uncertain Systems Subject to Inequality Constraints |
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Authors | |
Keywords | Distributed feedback devices Distributed feedback optimization Heuristic algorithms inequality constraints Linear programming Multi-agent systems nonlinear systems Optimization Power system dynamics Uncertain systems |
Issue Date | 14-Dec-2023 |
Publisher | Institute of Electrical and Electronics Engineers |
Citation | IEEE Transactions on Automatic Control, 2023 How to Cite? |
Abstract | This paper studies the distributed feedback optimization problem for nonlinear uncertain multi-agent systems subject to inequality constraints. A new class of distributed optimization algorithms is proposed by extending the standard primal-dual dynamics and introducing two new inputs to deal with the couplings arising from feedback optimization. With each controlled agent satisfying a mild dissipation assumption, the proposed distributed feedback optimization algorithms, using only the output-dependent gradient value of each agent's corresponding local objective function and the information from its neighboring agents, can steer the outputs of the agents to a common set-point which minimizes the total objective function while satisfying the inequality constraints. A composite Lyapunov function is constructed to prove global asymptotic stability of the closed-loop system at the equilibrium corresponding to the optimal point. |
Persistent Identifier | http://hdl.handle.net/10722/340110 |
ISSN | 2023 Impact Factor: 6.2 2023 SCImago Journal Rankings: 4.501 |
DC Field | Value | Language |
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dc.contributor.author | Qin, Zhengyan | - |
dc.contributor.author | Liu, Tengfei | - |
dc.contributor.author | Liu, Tao | - |
dc.contributor.author | Jiang, Zhong-Ping | - |
dc.contributor.author | Chai, Tianyou | - |
dc.date.accessioned | 2024-03-11T10:41:45Z | - |
dc.date.available | 2024-03-11T10:41:45Z | - |
dc.date.issued | 2023-12-14 | - |
dc.identifier.citation | IEEE Transactions on Automatic Control, 2023 | - |
dc.identifier.issn | 0018-9286 | - |
dc.identifier.uri | http://hdl.handle.net/10722/340110 | - |
dc.description.abstract | <p>This paper studies the distributed feedback optimization problem for nonlinear uncertain multi-agent systems subject to inequality constraints. A new class of distributed optimization algorithms is proposed by extending the standard primal-dual dynamics and introducing two new inputs to deal with the couplings arising from feedback optimization. With each controlled agent satisfying a mild dissipation assumption, the proposed distributed feedback optimization algorithms, using only the output-dependent gradient value of each agent's corresponding local objective function and the information from its neighboring agents, can steer the outputs of the agents to a common set-point which minimizes the total objective function while satisfying the inequality constraints. A composite Lyapunov function is constructed to prove global asymptotic stability of the closed-loop system at the equilibrium corresponding to the optimal point.</p> | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.relation.ispartof | IEEE Transactions on Automatic Control | - |
dc.subject | Distributed feedback devices | - |
dc.subject | Distributed feedback optimization | - |
dc.subject | Heuristic algorithms | - |
dc.subject | inequality constraints | - |
dc.subject | Linear programming | - |
dc.subject | Multi-agent systems | - |
dc.subject | nonlinear systems | - |
dc.subject | Optimization | - |
dc.subject | Power system dynamics | - |
dc.subject | Uncertain systems | - |
dc.title | Distributed Feedback Optimization of Nonlinear Uncertain Systems Subject to Inequality Constraints | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/TAC.2023.3343346 | - |
dc.identifier.scopus | eid_2-s2.0-85180303122 | - |
dc.identifier.eissn | 1558-2523 | - |
dc.identifier.issnl | 0018-9286 | - |