© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/Population games have become a powerful tool for solving resource-allocation problems in a distributed manner, and for the design of non-centralized optimization-based controllers. The aim of this paper is to illustrate the advantages of two recently introduced population-game approaches in comparison to other classical optimization methods. More specically, the discussion is mainly devoted to the communication requirements. Finally, an illustrative example shows with more detail the advantages highlighted throughout the comparative discussion, i.e., fewer communications links are required for resource allocation ...
This paper proposes a novel methodology for solving constrained optimization problems in a distribut...
Abstract—This paper proposes a novel methodology for solving constrained optimization problems in a ...
The use of optimization methods is ubiquitous in communications and signal processing. In particular...
© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommo...
© 2017 IEEE. Personal use for this material is permitted. Permission from IEEE must be obtained for ...
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
In recent years, game-theoretic tools have been increasingly used to study many important resource a...
Industrial processes commonly involve different sub-systems, each one of them with an associated con...
The central goal in multiagent systems is to design local control laws for the individual agents to ...
This study proposes a distributed model predictive control (DMPC) scheme based on population games f...
This book presents new efficient methods for optimization in realistic large-scale, multi-agent syst...
Recently, there has been an increasing interest in the control community in studying large-scale dis...
The central goal in multiagent systems is to design local control laws for the individual agents to ...
Large-scale network systems involve a large number of states, which makes the design of real-time co...
This paper proposes a novel methodology for solving constrained optimization problems in a distribut...
Abstract—This paper proposes a novel methodology for solving constrained optimization problems in a ...
The use of optimization methods is ubiquitous in communications and signal processing. In particular...
© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommo...
© 2017 IEEE. Personal use for this material is permitted. Permission from IEEE must be obtained for ...
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
In recent years, game-theoretic tools have been increasingly used to study many important resource a...
Industrial processes commonly involve different sub-systems, each one of them with an associated con...
The central goal in multiagent systems is to design local control laws for the individual agents to ...
This study proposes a distributed model predictive control (DMPC) scheme based on population games f...
This book presents new efficient methods for optimization in realistic large-scale, multi-agent syst...
Recently, there has been an increasing interest in the control community in studying large-scale dis...
The central goal in multiagent systems is to design local control laws for the individual agents to ...
Large-scale network systems involve a large number of states, which makes the design of real-time co...
This paper proposes a novel methodology for solving constrained optimization problems in a distribut...
Abstract—This paper proposes a novel methodology for solving constrained optimization problems in a ...
The use of optimization methods is ubiquitous in communications and signal processing. In particular...