Distributed Predefined-Time Optimization for Second-Order Systems under Detail-Balanced Graphs Academic Article

abstract

• This paper studies the problem of distributed predefined-time optimization for leaderless consensus of second-order multi-agent systems under a class of weighted digraphs. The proposed framework has two main steps. In the first step, the agents communicate to perform a consensus-based distributed predefined-time optimization and to generate a constant optimal output reference for each agent. In the second step, each agent tracks its corresponding optimal output reference, using a sliding-mode controller to reach the global optimum in a predefined time, even under matched disturbances. The proposed algorithm relies explicitly on user-defined constant parameters. Numerical simulations are performed to validate the efficacy of the algorithm.

authors

• Munoz Vazquez, Aldo Jonathan

published proceedings

• MACHINES

author list (cited authors)

• De Villeros, P., Sanchez-Torres, J. D., Munoz-Vazquez, A. J., Defoort, M., Fernandez-Anaya, G., & Loukianov, A.

citation count

• 0

complete list of authors

• De Villeros, Pablo||Sanchez-Torres, Juan Diego||Munoz-Vazquez, Aldo Jonathan||Defoort, Michael||Fernandez-Anaya, Guillermo||Loukianov, Alexander

publication date

• 2023

publisher

• MDPI  Publisher

published in

• Machines  Journal

keywords

• Directed Graphs
• Distributed Optimization
• Multi-agent Systems
• Predefined-time Stability

Digital Object Identifier (DOI)

• 10.3390/machines11020299

start page

• 299

end page

• 299

volume

• 11

issue

• 2

URL

• http://dx.doi.org/10.3390/machines11020299