Robust prescribed-time coordination control of cooperative-antagonistic networks with disturbances
Zhen-Hua Zhu, Huaiyu Wu, Zhi-Hong Guan, Zhi-Wei Liu, Yang Chen, and, Xiujuan Zheng

TL;DR
This paper develops a robust, fully distributed control method for cooperative-antagonistic networks that guarantees coordination within a preset time, even with external disturbances, using a novel sliding mode control approach.
Contribution
It introduces a new prescribed-time control protocol for disturbed cooperative-antagonistic networks, extending existing methods to handle external disturbances with a fully distributed approach.
Findings
Proposed a time-varying gain control protocol that grows to infinity near the settling time.
Achieved prescribed-time stability and consensus in disturbed networks.
Validated the control strategy through numerical simulations.
Abstract
This article targets at addressing the robust prescribed-time coordination control (PTCC) problems for single-integrator cooperative-antagonistic networks (CANs) with external disturbances under arbitrary fixed signed digraphs without any structural constraints. Toward this end, the PTCC problems for nominal single-integrator CANs without disturbances are first investigated and a fully distributed control protocol with a time-varying gain, which grows to infinity as the time approaches the settling time, is proposed utilizing the relative states of neighboring agents. Then, based on the proposed control protocol for the nominal single-integrator CANs, a new second-order prescribed-time sliding mode control protocol is constructed to achieve accurate PTCC for single-integrator CANs in the presence of external disturbances. Using Lyapunov based analysis, sufficient conditions to guarantee…
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Taxonomy
TopicsNeural Networks Stability and Synchronization · Distributed Control Multi-Agent Systems · Mitochondrial Function and Pathology
