Target containment control of multi-agent systems with random switching interconnection topologies

Containment control of leader-following multi-agent systems with Markovian switching network topologies and measurement noises

“…(1) Different from the existing results such as those in Lou and Hong (2012), this paper not only solves the containment tracking problem, but also points out the specific points that the followers will eventually converge to. (2) This paper is the first to study the containment control with both Markovian switching topologies and stochastic noises in communication channels.…”

“…It has attracted a lot of interest recently (Ji, Ferrari-Trecate, Egerstedt, & Buffa, 2008;Lou & Hong, 2012;Meng, Ren, & You, 2010;Notarstefano, Egerstedt, & Haque, 2011;Tang, Huang, & Shao, 2012). Distributed containment control of first-order discrete multi-agent systems with multiple stationary leaders and noisy measurements is studied in Tang et al (2012) whereas Lou and Hong (2012) consider a second-order multi-agent system with random switching topologies. In Ji et al (2008), the problem of driving a set of mobile robots to a given target destination is studied.…”

Convergence analysis for asymmetric Deffuant-Weisbuch model

“…However, because the inter-agent topology may keep changing and is dependent of opinion states, many analysis methods (for example, in [1,12]) cannot be applied to these opinion models. Recently, with the help of stochastic analysis and Lyapunov methods, [16] provided a new method for the convergence analysis of the homogeneous HK model.…”

Disturbance attenuation in linear systems revisited

“…via state feedback, dynamic feedback, eigenstructure assignment, adaptive controls etc. In fact, this H2/H∞ optimization methodology to disturbance attenuation has been extended into nonlinear systems [7,8], discrete event and multi-agent systems [9,10], hybrid dynamical systems [11][12][13] and networked control systems [14][15][16] etc.…”