H∞ Consensus of Linear Multi-Agent Systems with Semi-Markov Switching Network Topologies and Measurement Noises

Abstract

This paper investigates the H∞ consensus of linear multi-agent systems with semi-Markov switching network topologies and measurement noises. The information that each agent measures its neighbors's has multiplicative noises. The switching of the network topologies are modeled by a semi-Markov process. Taking the external disturbance into account, H∞ consensus of multi-agent systems with multiplicative noises is achieved under semi-Markov switching network topologies by using semi-Markov jump theory, stochastic theory and algebraic graph theory. Finally, simulation example is provided to illustrate the effectiveness of the theoretical results.