ABSTRACT
This chapter investigates the distributed quantized H∞consensusH∞ consensus problems for general linear and Lipschitz nonlinear multi-agent systems with input quantization mismatch and external disturbances under switching weighted undirected or balanced directed topologies. The linear part plays a role in achieving a satisfactory performance against interval-bounded model uncertainties, external disturbances and unknown initial states. The nonlinear part eliminates the effect of input quantization. The problems of consensus have become hot topics in the study of cooperative control of multi-agent systems due to their broad applications in various areas, such as spacecraft formation flying, sensor networks, flocking, and cooperative surveillance and so on. On the other hand, quantization plays an important role in information exchange among agents and is one of the basis limitations induced by finite channel capacity, and finite sampling rates.
