Distributed controller–estimator for target tracking of networked robotic systems under sampled interaction. (July 2016)

• Record Type: Journal Article
• Authors: Ge, Ming-Feng; Guan, Zhi-Hong; Hu, Bin; He, Ding-Xin; Liao, Rui-Quan
• Is Part Of: Automatica. Volume 69(2016)
• Page Start: 410
• Page End: 417
• Publication Date: 2016-07
• Subjects: Target tracking -- Networked robotic systems (NRSs) -- Sampled interaction -- Distributed controller–estimator algorithms (DCEA) -- Small-value norm; Automatic control -- Periodicals; Automation -- Periodicals; 629.805
• DOI: 10.1016/j.automatica.2016.03.008
• Languages: English
• ISSNs: 0005-1098

Abstract

Abstract: This paper investigates the target tracking problem for networked robotic systems (NRSs) under sampled interaction. The target is assumed to be time-varying and described by a second-order oscillator. Two novel distributed controller–estimator algorithms (DCEA), which consist of both continuous and discontinuous signals, are presented. Based on the properties of small-value norms and Lyapunov stability theory, the conditions on the interaction topology, the sampling period, and the other control parameters are given such that the practical stability of the tracking error is achieved and the stability region is regulated quantitatively. The advantages of the presented DCEA are illustrated by comparisons with each other and the existing coordination algorithms. Simulation examples are given to demonstrate the theoretical results.