Stochastic Gradient-Based Extremum Seeking Control Under Multi-Input and Output System Delays

This paper presents a novel multivariable gradient-based stochastic extremum seeking control strategy capable of addressing systems with multiple inputs and time delays in both input and output channels. Key features include phase compensation of stochastic disturbance signals and a new predictor ba...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:International Conference on Control, Decision and Information Technologies (Online) s. 2419 - 2424
Hlavní autori: Souza Silva, Paulo Cesar, Cesar Pellanda, Paulo, Oliveira, Tiago Roux
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.07.2024
Predmet:
Backstepping
Control theory
Convergence
Delays
Information technology
Numerical stability
Optimization
Prediction algorithms
Real-time systems
Stability analysis
ISSN:2576-3555
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:This paper presents a novel multivariable gradient-based stochastic extremum seeking control strategy capable of addressing systems with multiple inputs and time delays in both input and output channels. Key features include phase compensation of stochastic disturbance signals and a new predictor based on estimating the unknown Hessian. Rigorous analysis employing backstepping transformation and stochastic averaging techniques in infinite dimensions ensures exponential stability and convergence to a small neighborhood around the extremum point. A numerical example illustrates the effectiveness of the proposed approach for delay compensation.
ISSN:2576-3555
DOI:10.1109/CoDIT62066.2024.10708562