ABSTRACT

Multi-agent systems are made up of multiple autonomous entities with distributed information, computational ability and possibly divergent interests. This kind of system may be cooperative (i.e., mobile robots in a warehouse), competitive (i.e., in electronic commerce or in settings of resource), or task allocated. The past decade has seen a surge of research interest in the consensus problems for multi-agent systems due to their extensive applications in various engineering systems such as cooperative control of unmanned air vehicles (UAVs) or unmanned underwater vehicles (UUVs) [98], formation control for multi-robot systems [1, 37, 140], collective behavior of flocks or swarms [88, 90, 144], distributed sensor networks [63, 109, 149], attitude alignment of clusters of satellites, and synchronization of complex networks [111, 117]. In Chapter 2, a novel design scheme with the form of backward RDEs was developed to deal with the H∞ control issue of discrete time-varying stochastic systems. Obviously, it is very interesting and significant to extend such an approach to the H∞ consensus of multi-agent systems subject to various undesirable phenomena.