Extremum-seeking-based distributed optimization method under actuator saturation and constrained communication

This paper investigates a distributed optimization problem for multi-agent systems with unknown cost functions and actuator saturation constraints. To address the integrator windup phenomenon induced by actuator saturation, a distributed extremum-seeking-based optimization algorithm incorporating an...

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Bibliographic Details
Published in:International journal of dynamics and control Vol. 13; no. 11; p. 367
Main Authors: Gao, Bingpeng, Qiao, Jiawen, Cai, Xin, Dai, Ming-Zhe
Format: Journal Article
Language:English
Published: Heidelberg Springer Nature B.V 01.11.2025
Subjects:
Actuators
Adaptive algorithms
Collaboration
Communication
Convex analysis
Cost function
Multiagent systems
Optimization
Optimization algorithms
Parameter estimation
Perturbation methods
Singular perturbation
ISSN:2195-268X, 2195-2698
Online Access:Get full text
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Summary:This paper investigates a distributed optimization problem for multi-agent systems with unknown cost functions and actuator saturation constraints. To address the integrator windup phenomenon induced by actuator saturation, a distributed extremum-seeking-based optimization algorithm incorporating anti-windup compensation mechanism is proposed. An event-triggered communication scheme is introduced in the designed algorithm for adaptive regulation of neighborhood information exchange frequency. Due to the multi-time-scale structure of the designed distributed algorithm, singular perturbation techniques are employed to achieve semi-globally practically asymptotic convergence of the decision variables of all agents to the optimal solution. Finally, simulations verify the effectiveness of the proposed algorithm.
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ISSN:2195-268X
2195-2698
DOI:10.1007/s40435-025-01873-6