The problem of quasi-synchronization (QS) for the Markovian jump master-slave neural networks with time-varying delay is studied in this article, where mismatch parameters and unreliable communication channels are considered as well. A set stochastic variables different expectations used to describe fading phenomena parallel channels. An impulsive-driven transmission strategy designed reduce load, a corresponding impulsive controller then designed. synchronization error system (SES)...

This article addresses reset moving horizon estimation for multiple output discrete-time systems with quantized measurements. A new state estimator is designed based on a one-dimensional noisy measurement to overcome underestimation or overestimation of the system state, and an iterative algorithm proposed deal systems. It shown that algorithm, error improved in presence over under estimation, boundedness established. The also achieves better estimate than existing one scalar static case....

This article investigates the problem of state estimation for discrete-time systems with a Markov driven transmission strategy. A buffer limited capacity is used to store latest measurements, and they are transmitted simultaneously once system accesses shared channel. buffer-dependent smart estimator then proposed process received measurements. convex sufficient condition concerning exponential mean-square stability <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...

This article addresses the problem of average stochastic finite-time synchronization (ASFTS) for a set coupled neural networks (NNs) with energy-bounded noises. Due to channel capacity constraint, impulsive approach is introduced so as cut down communication times among leader NNs and follower NNs. Then, nonfragile controller designed improve robustness randomly occurred uncertainty. The sufficient conditions that guarantee ASFTS are achieved. boundary error also obtained by constructing...

This article proposes an asynchronous and dynamic event-based sliding mode control strategy to efficiently address the synchronization problem of Markov jump neural networks. By designing adaptive law, a triggered threshold in form diagonal matrix, special event-triggered scheme is applied send signals only at moments. An controller with gain uncertainty designed by constructing specified manifold. Then, linear matrix inequalities are used represent sufficient conditions for guaranteeing...

This article is concerned with the synchronization issue of discrete Markov jump neural networks (MJNNs). First, to save communication resources, a universal model, including event-triggered transmission, logarithmic quantization, and asynchronous phenomenon, proposed, which close actual situation. Here, further reduce conservatism, more general protocol constructed by developing threshold parameter as diagonal matrix. To cope mode mismatch between nodes controllers due potentially occurring...

This article investigates synchronization for a group of discrete-time neural networks (NNs) with the uncertain exchanging information, which is caused by connection weights among NNs nodes, and they are transformed into norm-bounded Laplacian matrix. Distributed impulsive observers, possess advantage reducing communication load designed to observe state. The controller proposed improve efficiency controller. An augmented error system (IAES) obtained based on matrix Kronecker product. A...

This paper investigates the problem of quasi-synchronization (QS) for periodic neural networks (NNs). In order to address more general NNs, parameter and period mismatches are both considered, that is, excluding parameters, periods target dynamic followers also different. addition, constrainted information is studied, where logarithmic quantizer used overcome limited communication capacity Bernoulli processes employed model cases loss. A new established based on lowest common multiple obtain...

This work addresses quasisynchronization (QS) of the master-slave (MS) neural networks (NNs) with mismatched parameters. The logarithmic quantizer and round-robin protocol (RRP) are used to deal limited communication channel (CC) capacity, then intermittent control strategy is employed improve efficiency CC controller. A transmission-dependent controller designed, synchronization error system (SES) established. QS a boundary ensured for MS NNs by developed sufficient condition, design method...

This article is devoted to the investigation of reduced-order dissipative filtering for Takagi–Sugeno (T–S) fuzzy Markov jump systems with event-triggered mechanism. For proposed mechanism, its threshold parameter constructed as a special diagonal matrix which can improve system performance by flexibly adjusting elements. Due impact sampling behaviors and environmental disturbance, asynchronization between filter estimated considered in this article, be characterized hidden model. Through...

The problem of event-triggered resilient filtering for Markov jump systems is investigated in this article. hidden model used to characterize asynchronous constraints between the filters and systems. Gain uncertainties filter are interval type article, which more accurate than norm-bounded uncertain phenomenon. number linear matrix inequalities can be decreased significantly by separating vertices interval, so that difficulty calculation time reduced. Moreover, scheme applied depress...

This article proposes a set-membership state estimation issue for unmanned surface vehicle (USV) steering motion under wireless sensor networks with try-once-discard (TOD) scheduling protocol. The discrete-time USV model unknown but bounded noises and uncertain parameters is established based on the approach norm uncertainties. TOD protocol employed to schedule measurements dealing problem of medium access constraint in networked communication. A remote estimator time-varying gain designed...

This work addresses the state estimation problem for recurrent neural networks over capacity-constrained communication channels. The intermittent transmission protocol is used to reduce load, where a stochastic variable with given distribution describe interval. A corresponding interval-dependent estimator designed, and an error system based on it also derived, whose mean-square stability proved by constructing function. By analyzing performance in each interval, sufficient conditions of...

This paper investigates synchronisation for Markovian master-slave neural networks (NNs), where the transition probabilities of Markov chain are partially unknown and uncertain. To cope with communication channel bandwidth constraint, an event-triggered impulsive transmission strategy is adopted, a corresponding controller then designed. In this method, information occurs only at some discontinous instants, which determined by state-dependent condition as well predesigned forced impulse...

Scheduling for multiple sensors to observe systems is investigated. Only one sensor can transmit a measurement the remote estimator over Markovian fading channel at each time instant. A stochastic scheduling protocol proposed, which first chooses system be observed via probability distribution, and then another distribution. The modeled as Markov decision process (MDP). sufficient condition derived ensure stability of estimation error covariance by contraction mapping operator. In addition,...