ABSTRACT
By resorting to the developed backward RDE technology, the H∞ consensus control has been discussed in Chapter 3 for discrete time-varying multiagent systems with missing measurements and parameter uncertainties. The effect on consensus from missing measurements has been characterized by the solvability of the derived RDEs. When the event triggering is the concern, the impact from sparse data should be thoroughly investigated in theory with the intent to achieve a balance between consensus performance and network service quality. Up to now, such an impact has been thoroughly discussed in Chapter 9 for the distributed filtering problem over sensor networks. On the other hand, almost all research focus has been on the steady-state behaviors of the consensus, i.e., the consensus performance when time tends to infinity. Unfortunately, transient consensus performance at specific times has been largely overlooked despite its significance in reflecting the consensus dynamics. As such, this chapter will deal with event-triggered consensus control for discrete-time stochastic multi-agent systems with state-dependent noises. The challenges we are going to cope with are identified as follows: 1) how can we establish a general analysis framework to analyze the dynamic behaviors in probability of the multi-agent systems, and 2) how can we design an appropriate threshold of the triggering condition based on the measurement outputs?
