Dynamic Event-Triggered Approach Research Articles

A Dynamic Event-Triggered Approach to Recursive Filtering for Complex Networks With Switching Topologies Subject to Random Sensor Failures.

This article deals with the recursive filtering issue for a class of nonlinear complex networks (CNs) with switching topologies, random sensor failures and dynamic event-triggered mechanisms. A Markov chain is utilized to characterize the switching behavior of the network topology. The phenomenon of sensor failures occurs in a random way governed by a set of stochastic variables obeying certain probability distributions. In order to save communication cost, a dynamic event-triggered transmission protocol is introduced into the transmission channel from the sensors to the recursive filters. The objective of the addressed problem is to design a set of dynamic event-triggered filters for the underlying CN with a certain guaranteed upper bound (on the filtering error covariance) that is then locally minimized. By employing the induction method, an upper bound is first obtained on the filtering error covariance and subsequently minimized by properly designing the filter parameters. Finally, a simulation example is provided to demonstrate the effectiveness of the proposed filtering scheme.

Event-triggered sliding mode control of nonlinear dynamic systems

In this work, the problem of sliding mode observer design is investigated for a class of repeated scalar nonlinear systems via dynamic event-triggered approach. By constructing an event-triggered observer and a sliding mode surface, the system dynamics is obtained and an event-triggered controller is designed to ensure that the closed-loop system trajectories are restricted to the pre-specified sliding region. Sufficient conditions are provided to guarantee that the system dynamics is asymptotically stable with a desired H∞ performance level. Two illustrative examples are provided to demonstrate the effectiveness and potential of the proposed design method.

Recursive distributed filtering over sensor networks on Gilbert–Elliott channels: A dynamic event-triggered approach

In this paper, the recursive distributed filtering problem is investigated for a class of discrete nonlinear time-varying systems under a dynamic event-triggered mechanism. The system outputs are collected through a sensor network subject to a time-varying topology that is connected via Gilbert–Elliott channels and governed by a set of Markov chains. In order to save communication cost, a dynamic event-triggered strategy is utilized to decide when a particular sensor node should broadcast the corresponding measurement output to its neighbors. For the addressed time-varying systems, our aim is to design a distributed filter for each sensor node such that an upper bound on the filtering error variance is guaranteed and subsequently minimized at each iteration under the dynamic event-triggered transmission protocol. The parameters of the desired filter are obtained recursively by following a certain set of recursions. Finally, an illustrative example is employed to verify the effectiveness of the proposed dynamic event-triggered distributed filtering algorithm.

Dynamic event-triggered approach for cluster synchronization of complex dynamical networks with switching via pinning control

This paper focuses on the cluster synchronization problem for complex dynamical networks with switching signal which is characterized by average dwell-time constraint. To reduce networks burden, a dynamic event-triggered mechanism and pinning control strategy is firstly introduced to the design of cluster synchronization controllers for a class of switched complex networks. By constructing piecewise continuous Lyapunov functions and utilizing stability analysis methods, the cluster synchronization conditions are proposed under which the synchronization error dynamics with the dynamic event-triggered rule is stable. Finally, one numerical example is presented to show the effectiveness of the theoretical results.

Synchronization Control for A Class of Discrete Time-Delay Complex Dynamical Networks: A Dynamic Event-Triggered Approach.

This paper is concerned with the synchronization control problem for a class of discrete time-delay complex dynamical networks under a dynamic event-triggered mechanism. For the efficiency of energy utilization, we make the first attempt to introduce a dynamic event-triggering strategy into the design of synchronization controllers for complex dynamical networks. A new discrete-time version of the dynamic event-triggering mechanism is proposed in terms of the absolute errors between control input updates. By constructing an appropriate Lyapunov functional, the dynamics of each network node combined with the introduced event-triggering mechanism are first analyzed, and a sufficient condition is then provided under which the synchronization error dynamics is exponentially ultimately bounded. Subsequently, a set of the desired synchronization controllers is designed by solving a matrix inequality. Finally, a simulation example is provided to verify the effectiveness of the proposed dynamic event-triggered synchronization control scheme.