Distributed optimization via active disturbance rejection control: A nabla fractional design
Yikun Zeng, Yiheng Wei, Shuaiyu Zhou, Dongdong Yue · Kybernetika · 2024
This paper studies distributed optimization problems of a class of agents with fractional order dynamics and unknown external disturbances.Motivated by the celebrated active disturbance rejection control (ADRC) method, a fractional order extended state observer (Frac-ESO) is first constructed, and an ADRC-based PI-like protocol is then proposed for the target distributed optimization problem.It is rigorously shown that the decision variables of the agents reach a domain of the optimal solution when the external disturbance is bounded.In particular, for constant disturbances, the Frac-ESO is Mittag-Leffler convergent and the optimization problem can be solved exactly.Finally, numerical simulations are presented to validate the effective properties of the proposed algorithm.