Backstepping approach to a class of hierarchical multi‐agent systems with communication disturbance. Issue 9 (1st June 2016)

• Record Type: Journal Article
• Authors: Xiong, Wenjun; Ho, Daniel W.C.; Cao, Jinde; Xing Zheng, Wei
• Is Part Of: IET control theory & applications. Volume 10:Issue 9(2016)
• Page Start: 981
• Page End: 988
• Publication Date: 2016-06-01
• Subjects: multi‐agent systems -- mathematical analysis -- radial basis function networks -- approximation theory; backstepping approach -- hierarchical multiagent systems -- communication disturbance -- mathematical models -- HMS -- hierarchical structure -- external noise -- radial basis function neural networks -- nonlinear function approximation; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2015.1066
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : In this study, mathematical models of hierarchical multi‐agent systems (HMSs) are first proposed to demonstrate the hierarchical structure of multi‐agent systems. Communication disturbance is also considered in HMSs since disturbance often appears when information is transmitted among agents due to various uncertainties such as model unsteadiness and external noise. Radial basis function neural networks are applied to approximate the non‐linear functions of the communication disturbance. Then, by applying a backstepping method based on the hierarchical structure of HMSs, a simple condition is derived to ensure the stability of HMSs with disturbance.