Abstract
This paper is concerned with the problem of event-triggeredH∞filtering for multiagent systems with Markovian switching topologies and network-induced delay. An event-triggered mechanism is given to ease the information transmission. Consider that the network topology is directed in this paper, which represents the communication links among agents. Due to the existence of network-induced delay, the time-delay approach is adopted, which can effectively deal with filtering error system. By constructing a Lyapunov-Krasovskii functional and employing linear matrix inequality technique, sufficient conditions are established to ensure the filtering error system to achieve asymptotically stable withH∞performance index. A simulation example is given to illustrate the effectiveness of the proposed method.
Highlights
Multiagent systems (MASs) have received much interest due to their widespread applications in various fields such as formation control [1, 2], sensor network [3], synchronization [4], and flocking [5, 6]
Filtering or state estimation problem is to estimate the states of the agent by the available output measurement, which is very important both in theory and in practice
In the view of the above discussion, this paper addresses the event-triggered H∞ filtering for multiagent systems with Markovian switching topologies and network-induced delay
Summary
Multiagent systems (MASs) have received much interest due to their widespread applications in various fields such as formation control [1, 2], sensor network [3], synchronization [4], and flocking [5, 6]. Paper [17] addresses event-triggered state estimation problem for a class of complex networks with mixed time delays and [20] presents H∞ filter design for a class of neural network systems with quantization. To the best of our knowledge, there is no article that considers H∞ filtering problem for multiagent systems with Markovian switching topologies and network-induced delay based on event-triggered strategy. In the view of the above discussion, this paper addresses the event-triggered H∞ filtering for multiagent systems with Markovian switching topologies and network-induced delay. The main contributions are summarized as follows: (1) different from the general event-triggered sampled-data strategy, this paper takes into account the effect of network-induced delay and Markovian switching topologies. The real matrix P > 0 shows that P is positive definite
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