Dynamic Event-Triggered Control for GSES of Memristive Neural Networks Under Multiple Cyber-Attacks

Abstract

In this article, the dynamic event-triggered control problem of memristive neural networks (MNNs) under multiple cyber-attacks is considered. A novel dynamic event-triggering scheme (DETS) and the corresponding event-triggered controller are proposed by taking into consideration both denial-of-service and deception attacks (DoS-DAs). Then, a key lemma is established to show that the dynamic event-triggered controller can be used to solve the globally stochastically exponential stability (GSES) issue of concerned MNN under multiple cyber-attacks. Meanwhile, a novel Lyapunov functional is proposed based on the actual sampling pattern. It is shown that under our proposed dynamic event-triggered controller and Lyapunov functional, the concerned MNN can achieve GSES in the presence of DoS-DAs. In addition, our results include relevant results on event-triggered control of MNN with static event-triggering scheme (SETS) or without cyber-attacks as special cases. The effectiveness of the proposed event-triggered controller under multiple cyber-attacks is illustrated by a simulation example.

Event-based nonfragile state estimation for memristive recurrent neural networks with stochastic cyber-attacks and sensor saturations

“…The methods introduced in Refs. [4,26] utilize few variables but overlook the excitatory and inhibitory influence of z i j (ξ j (t)), leading to conservatism. In addition, the authors in Refs.…”

“…Recently, a novel DETM was applied to the control problem of MRNNs with multiple cyberattacks. [26] In spite of this, there are few results about designs of a nonfragile estimator for MRNNs with proportional delay and sensor saturation under DETM, which in a way motivates our investigation.…”

Dynamic data reconciliation to enhance the performance of model free adaptive control

“…Lin et al extended MFAC to the field of event triggering, and proposed an ET-MFAC method, which can reduce the number of controller executions and save computing. In the future, MFAC may be used to solve the dynamic event-triggering problem under multiple network attacks [14,15]. Moreover, MFAC has been successfully applied in many fields.…”

Event‐triggered delayed impulsive control for quasi‐synchronization of complex dynamic systems with packet loss and parameter mismatch

“…So far, there have been many control mechanisms to achieve dynamic system synchronization, such as event triggered control [8], adaptive control [9], pinning control [10], and impulsive control [11,12]. Event triggering mechanism and impulsive control methods have been widely used in synchronous control research because of their respective advantages, and have attracted a large number of scholars' attention [11,[13][14][15][16][17][18]. Event trigger time is generated only when the sampled information violates the established event trigger policy, which not only saves communication resources, but also reduces control costs.…”