Distributed Optimization Control for the System with Second-Order Dynamic

No matter whether with constraint or without constraint, most of the research about distributed optimization is studied for the kind of quadratic performance criteria that does not have an integrator; these optimization problems only concern the state value at the time of the final state, not the wh...

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Veröffentlicht in:Mathematics (Basel) Jg. 12; H. 21; S. 3347
Hauptverfasser: Wang, Yueqing, Zhang, Hao, Li, Zhi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.11.2024
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ISSN:2227-7390, 2227-7390
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Abstract No matter whether with constraint or without constraint, most of the research about distributed optimization is studied for the kind of quadratic performance criteria that does not have an integrator; these optimization problems only concern the state value at the time of the final state, not the whole process of the system change. For this problem, this paper discusses second-order multi-agent systems with a discrete-time dynamic and a continuous-time dynamic, respectively, for distributed optimization control problems, and proposes sufficient conditions to ensure the quadratic performance criteria with an integrator is positive. Specifically, under sufficient conditions, we describe the multi-agent systems that are considered in this paper to be connected topology; all the agents can obtain the information from their neighbors. In addition, the structure of our controller only relies on the Laplace matrix of the system’s topology, and the reaction coefficients in the controller are the parameters in the performance criteria. Finally, the analysis of convergence is given and verified by numerical examples and simulations.
AbstractList No matter whether with constraint or without constraint, most of the research about distributed optimization is studied for the kind of quadratic performance criteria that does not have an integrator; these optimization problems only concern the state value at the time of the final state, not the whole process of the system change. For this problem, this paper discusses second-order multi-agent systems with a discrete-time dynamic and a continuous-time dynamic, respectively, for distributed optimization control problems, and proposes sufficient conditions to ensure the quadratic performance criteria with an integrator is positive. Specifically, under sufficient conditions, we describe the multi-agent systems that are considered in this paper to be connected topology; all the agents can obtain the information from their neighbors. In addition, the structure of our controller only relies on the Laplace matrix of the system’s topology, and the reaction coefficients in the controller are the parameters in the performance criteria. Finally, the analysis of convergence is given and verified by numerical examples and simulations.
Audience Academic
Author Li, Zhi
Wang, Yueqing
Zhang, Hao
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StartPage 3347
SubjectTerms Constraints
Control algorithms
Control systems
Controllers
Criteria
Design
Discrete time systems
distributed control
Distributions, Theory of (Functional analysis)
Dynamical systems
Integrators
Mathematical optimization
Mathematical research
multi-agent
Multiagent systems
Optimization
optimization control
Parameter estimation
Topology
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Title Distributed Optimization Control for the System with Second-Order Dynamic
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Volume 12
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