Work

Multivariable Extremum Seeking Control for Dynamic Maps through Sliding Modes and Periodic Switching Function

Year: 2024

Type: conference-paper

Abstract: This paper presents the design of an extremum seeking controller based on sliding modes and cyclic search for real-time optimization of non-linear multivariable dynamic systems. These systems have arbitrary relative degree, compensated by the technique of time-scaling. The resulting approach guarantees global convergence of the system output to a small neighborhood of the optimum point. To corroborate with the theoretical results, numerical simulations are presented considering a system with two inputs and one output, which rapidly converges to the optimal parameters of the objective function.

Source: International Workshop on Variable Structure Systems

DOI: 10.1109/vss61690.2024.10753387

Authors: Nerito Oliveira Aminde, Tiago Roux Oliveira, Liu Hsu

Institutions: Federal Center for Technological Education Celso Suckow da Fonseca, Universidade do Estado do Rio de Janeiro, Universidade Federal do Rio de Janeiro

Language: English

Topic: Extremum Seeking Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Award: G29316538