Event‐triggered fault estimation and nonfragile synchronization control for multiweighted complex dynamical networks with deception attacks

Abstract

This article addresses the fault estimation and nonfragile synchronization control for multiweighted complex dynamical networks against deception attacks. An event‐triggered mechanism is proposed to reduce the redundant data transmission over the communication networks. Considering the network communication security, this article investigates deception attacks in the observer, where the adversary attempts to inject some false data in the measurement output to modify the transmitted signal in the communication networks. Some stochastic variables obeying the Bernoulli distribution are expressed to describe the probability of the deception attacks, which is determined by an attacker. Then based on Lyapunov stability theory, robust analysis method, some novel solvability criteria are presented such that the resultant augmented error system is asymptotically stable with a guaranteed H∞$$ {H}_{\infty } $$ performance index. Further, the existence criterion of the desired event‐triggered estimator is proposed in terms of a set of linear matrix inequalities. Finally, two illustrative examples including an F‐404 aircraft engine model are provided to verify the effectiveness of the developed estimator design method.

Event‐based joint estimation for unknown inputs and states: A distributed recursive filtering method

“…Finally, a numerical example has been given to verify the effectiveness of the joint estimation algorithm. Future topics include the extensions of the joint filtering problem to multi‐agent systems, 41 complex networks 42,43 and other complex networked systems 44‐47 …”

Nonfragile security control for time‐varying cyber‐physical systems operating over multipath networks

“…Therefore, a promising direction involves designing control laws to achieve finite‐time stabilization of CPSs operating under ETMs. Fault detection filter: In response to the growing emphasis on system security, the fault detection problem in CPSs has gained significant attention. Drawing inspiration from works such as References 13,30,34, it is a promising direction to explore the finite‐time stabilization of CPSs while incorporating fault detection filtering techniques.…”

“…Traditional nonfragile controllers, as discussed in References 31 and 32, are commonly structured in the form of $$$ u(t)=\left[K+\Delta K(t)\right]x(t) $$$. Based on the insights from the work in Reference 30, we have further refined this approach to derive the controller represented in (5). Notably, $$$ \xi (t) $$$ serves as a random disturbance factor affecting the control gain in real‐world physical systems.…”

Partial‐node‐based resilient set‐membership filtering for output‐coupled complex networks with event‐triggered mechanisms

“…Up to now, an event-triggered mechanism and a PNB filtering scheme have attracted the interest of many scholars, respectively, and there are more research reports on them. [29][30][31][32][33][34][35][36] However, the PNB filter problem has received less attention in the field of set-membership filtering. Therefore, combining the ETM and the PNB filtering scheme in the research of set-membership filtering is necessary.…”

“…Hence a method of partial‐nodes‐based (PNB) filtering is required to estimate the state of the whole networks by some nodes. Up to now, an event‐triggered mechanism and a PNB filtering scheme have attracted the interest of many scholars, respectively, and there are more research reports on them 29–36 . However, the PNB filter problem has received less attention in the field of set‐membership filtering.…”