Abstract The problem of delay‐dependent robust stabilization for uncertain singular discrete‐time systems with Markovian jumping parameters and time‐varying delay is investigated. In terms free‐weighting‐matrix approach linear matrix inequalities, a condition presented to ensure system be regular, causal stochastically stable based on which the stability analysis are studied. An explicit expression desired state‐feedback controller also given. Some numerical examples provided demonstrate...

Abstract This article mainly discusses the problem for adaptive event‐triggered H state estimation of semi‐Markovian jump neural networks (s‐MJNNs) subject to random sensor nonlinearity. To reduce communication load, scheme (AETS) is introduced decide whether transmit sampled data or not. Also, considering possible nonlinearity, a new error model established under framework AETS. An appropriate Lyapunov–Krasovskii functional (LKF) containing proposed event trigger condition constructed, and...

Abstract This article investigates the event‐triggered control problem in complex‐valued networked systems (CVNCS) under randomly occurring deception attacks (RODA). In order to optimize network bandwidth usage, reduce waste, and enhance system performance, mechanism (CVETM) is introduced. addition, simulate a realistic environment such as (RODA) influence channel, two types of that satisfy Bernoulli distribution are Based on above description, closed‐loop for stochastic constructed. The...

SUMMARY The problem of robust H ∞ control for a class uncertain singular time‐delay systems with Markovian jumping parameters is addressed in this paper. considered jump involve constant time delay and norm‐bounded uncertainties. On the basis LMI approach, delay‐dependent condition proposed, which ensures nominal system to be regular, impulse‐free stochastically stable. From condition, sufficient leading existence state feedback controller that guarantees admissibility performance also...

Abstract This article investigates the problem of secure memory adaptive event‐triggered filter design for nonlinear network systems under hybrid attacks. First, introduction mechanism and numerical quantization is employed to enhance system performance, optimize channel utilization, prevent congestion. Second, we consider impact deceptive attacks DoS occurring in on data transmission, which form studied this article. Subsequently, based established error model, derive sufficient conditions...

Abstract This article addresses adaptive event‐triggered discrete‐time nonlinear Markov jump systems (MJs) with DoS attacks, where the introduced attacks are considered as more general stochastic models fixed trigger frequency and duration. To solve optimal control problem, we use an dynamic programming (ADP) algorithm based on policy iteration (PI). The approximate process is follows: performance index function (PIF) first updated by in advance, obtained from PIF. Subsequently, estimation...

In this article, the deception attacks are research object, which widely concerned in cyber attacks, and feasibility of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_\infty $ </tex-math></inline-formula> filtering for networked system based on event-triggered mechanism (ETM) is discussed. Firstly, order to avoid waste limited bandwidth, ETM introduced. At same time, considering impact two types...

Abstract The problem of H ∞ model simplification for singular systems with Markovian jumping parameters and time‐delay is investigated. For a given stochastic stable system, our attention focused on the construction reduced‐order models which guarantee corresponding error system to be admissible have prescribed performance. A robust admissibility condition bounded real lemma are developed based which, sufficient conditions existence desired proposed. Desired can constructed when proposed...

This paper discusses the stability of semi‐Markovian jump networked control system containing time‐varying delay and actuator faults. The dynamic is optimized while network resource saved by introducing an improved static event‐triggered mechanism. For deriving a less conservative criterion, Bessel–Legendre inequalities approach employed to analysis plays major role. By constructing enhanced Lyapunov–Krasovskii functional (LKF) relevant Legendre polynomials, criterion with lower...

We investigate the dynamic event-triggered state estimation for uncertain complex networks with hybrid delays suffering from both deception attacks and denial-of-service attacks. Firstly, effects of time-varying finite-distributed are considered during data transmission between nodes. Secondly, a scheme (ETS) is introduced to reduce frequency sensors estimators. Thirdly, by considering discussed plant, ETS, estimator, into unified framework, this framework transferred novel dynamical model....

&lt;abstract&gt;&lt;p&gt;This paper investigates the event-triggered state estimation problem for a class of complex networks (CNs) suffered by hybrid cyber-attacks. It is assumed that wireless network exists between sensors and remote estimators, data packets may be modified or blocked malicious attackers. Adaptive scheme (AETS) introduced to alleviate congestion problem. With help two sets Bernoulli distribution variables (BDVs) an arbitrary function related system state, mathematical...

In order to further solve the stability problem in actual network control systems, this paper first simultaneously considers controlled object system delay and time Lurie nonlinear stochastic systems. Among them, is multi-time two additive time-varying component. The proposing of components systems has advantages producing less conservatism over previous one with a combined delay. By employing method improved free weighting matrix constructing Lyapunov–Krasovskii functional, conservative...

This paper investigates the problem of delay-dependent robust H-infinity stability for uncertain discrete-time singular systems with state delay. The considered are not necessarily assumed to be regular and causal. In terms linear matrix inequality (LMI) approach, a stabilizable criterion is given ensure nominal system regular, causal stable. Based on criterion, condition time-delay obtained. Some numerical examples provided demonstrate efficiency less conservation proposed methods in this paper.

Abstract This article discusses the problem of H control for Markov jump neural networks with time‐varying delay and redundant channels under event‐triggered scheme (ETS). First, considering limited communication channel capacity network system, ETS is introduced to reduce load improve utilization. Second, technique employed successful rate network, two mutually independent random variables which obey Bernoulli distribution are used reflect phenomenon data dropouts main channel,...