The role of population games in the design of optimization [electronic resource] : based controllers : a large-scale insight / by Julian Barreiro-Gomez.
- 作者: Barreiro-Gomez, Julian.
- 其他作者:
- 其他題名:
- Springer theses, recognizing outstanding Ph.D. research.
- 出版: Cham : Springer International Publishing :Imprint: Springer 2019.
- 叢書名: Springer theses, recognizing outstanding Ph.D. research,
- 主題: Control theory. , Game theory. , Control and Systems Theory. , Game Theory, Economics, Social and Behav. Sciences. , Communications Engineering, Networks. , Engineering Economics, Organization, Logistics, Marketing.
- ISBN: 9783319922041 (electronic bk.) 、 9783319922034 (paper)
- URL:
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電子書(校內)
- 一般註:Introduction -- Literature Review and Background -- Dynamical Tuning for Multi-objective MPC Controllers -- Distributed Predictive Control Using Population Games -- Distributed Formation Control Using Population Games -- Distributed Predictive Control Using Density-dependent Population Games -- Power Index in Control -- Partitioning for Large-scale Systems: Sequential DMPC Design -- Distributed System Partitioning and DMPC -- Contributions and Concluding Remarks. E1084學校採購電子書
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讀者標籤:
- 系統號: 000275340 | 機讀編目格式
館藏資訊

This book reports on the implementation of evolutionary-game theory in the design of distributed optimization-based controllers. First, it discusses how the classical population-game approach can contribute to and complement the design of optimization-based controllers. It shows how the features of this approach can be exploited to extend their capabilities in the solution of distributed optimization problems, and examines density games in order to consider multiple coupled constraints and preserve the non-centralized information requirements. Furthermore, it establishes a close relationship between the possible interactions among agents in a population with constrained information sharing among different local controllers. It also discusses coalitional games, focusing on the Shapley power index and proposes an alternative method of computing the latter, which reduces computational time, as well as a different way of finding it using distributed communication structures. All the proposed strategies are then tested on various control problems, such as those related to the Barcelona water supply network, multiple continuous stirred tank reactors, various unmanned aerial vehicle systems, and a water distribution system. This thesis, examined at the Universitat Politècnica de Catalunya and Universidad de los Andes in 2017, received the award for best thesis in control from the control group of the Spanish Committee of Automatic Control (CEA) in the same year.
摘要註
This book reports on the implementation of evolutionary-game theory in the design of distributed optimization-based controllers. First, it discusses how the classical population-game approach can contribute to and complement the design of optimization-based controllers. It shows how the features of this approach can be exploited to extend their capabilities in the solution of distributed optimization problems, and examines density games in order to consider multiple coupled constraints and preserve the non-centralized information requirements. Furthermore, it establishes a close relationship between the possible interactions among agents in a population with constrained information sharing among different local controllers. It also discusses coalitional games, focusing on the Shapley power index and proposes an alternative method of computing the latter, which reduces computational time, as well as a different way of finding it using distributed communication structures. All the proposed strategies are then tested on various control problems, such as those related to the Barcelona water supply network, multiple continuous stirred tank reactors, various unmanned aerial vehicle systems, and a water distribution system. This thesis, examined at the Universitat Politecnica de Catalunya and Universidad de los Andes in 2017, received the award for best thesis in control from the control group of the Spanish Committee of Automatic Control (CEA) in the same year.




