This paper investigates the event-triggered (ET) tracking control problem for a class of discrete-time strict-feedback nonlinear systems subject to both stochastic noises and limited controller-to-actuator communication capacities. The ET mechanism with fixed triggering threshold is designed decide whether current signal should be transmitted actuator. A systematic framework developed construct novel adaptive neural controller by directly applying backstepping procedure underlying system....

This paper proposes a novel event-triggered (ET) adaptive neural control scheme for class of discrete-time nonlinear systems in strict-feedback form. In the proposed scheme, ideal input is derived recursive design process, which relies on system states only and unrelated to virtual laws. this case, high-order networks (NNs) are used approximate (but not laws), then corresponding controller developed under ET mechanism. A modified NN weight updating law, nonperiodically tuned at triggering...

In this paper, the unscented Kalman filtering (UKF) problem is investigated for a class of general nonlinear systems with stochastic uncertainties under communication protocols. A modified transformation put forward to account caused by modeling errors. For preventing data collisions and mitigating burden, round-robin protocol weighted try-once-discard are, respectively, introduced regulate transmission order from sensors filter. Then, employing two kinds data-holding strategies (i.e.,...

This paper is concerned with the problem of distributed H∞ filtering for switched stochastic time-delay systems fading measurements over sensor networks. The underlying target plants are subject to where rates described by continuous-time random variables known statistical properties dependent on system modes. adjacency matrices characterizing topology networks also allowed be mode-dependent. Based multiple Lyapunov functional approach and average dwell-time concept, H <sub...

In this article, the distributed filtering problem is investigated for a class of nonlinear systems. Each individual sensing node provides state estimate by using not only its own measurements but also neighbors' information propagated according to communication topology. With purpose mitigating effects from possible abnormal data during signal transmission, an innovation constraint with adaptively determined threshold imposed on transmitted filter process. The aim addressed design...

This article proposes the event-triggered state-feedback and dynamic output-feedback control of positive Markovian jump systems with intermittent actuator sensor faults. An independent process is used to establish mathematical model fault. event-triggering condition based on 1-norm proposed implement event- triggered scheme. controller designed using stochastic copositive Lyapunov functions. By virtue a matrix decomposition approach, an for systems. Under controllers, augmented system...

In this paper, a systematic approach is proposed to develop high throughput decoder for quasi-cyclic low-density parity check (LDPC) codes, whose matrix constructed by circularly shifted identity matrices. Based on the properties of LDPC two stages belief propagation decoding algorithm, namely, node update and variable update, could be overlapped thus overall latency reduced. To avoid memory access conflict, maximum concurrency explored novel scheduling algorithm. Consequently, increased...

In this article, the design problem of proportional-integral observer (PIO) is investigated for a class discrete-time multidelayed recurrent neural networks (RNNs). addressed RNN model, delays occurring in information interconnections are allowed to be different, and phenomenon sensor saturation taken into consideration measurement model. A novel dynamic event-triggered protocol employed data transmission from sensors with hope improve efficiency resource utilization, where threshold...

This paper focuses on the observer-based output-feedback control (OBOFC) problem for a class of discrete-time strict-feedback nonlinear systems (DTSFNSs) with both multiplicative process noises and additive measurement noises. A state observer is first designed to estimate immeasurable system states, then novel backstepping framework proposed DTSFNSs known model information. To be specific, virtual laws actual law are derived using variable substitution method that gets rid repeated...

This paper focuses on the passive control problem for Markov jump systems with piecewise-constant transition rates, random nonlinearities and communication delays. An observer is used to obtain system state, delay probabilistic distribution considered. The properties of nonlinear perturbations delays are described by two mutually independent Bernoulli sequences. Based average dwell time method Lyapunov stability theory, a sufficient stochastic passivity condition presented. By singular value...

In this paper, an H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> estimation approach is given for array of coupled stochastic complex networks with intermittent nonlinearity switching. A set binary random variables are adopted to characterize the switching behavior involved nonlinearities. To effectively alleviate data collisions and save energy, Round-Robin protocol utilized curb network congestions in communication. For networks, we...

This paper studies the set-membership state estimation (SMSE) problem for a class of complex networks under event-triggered mechanism, where external unknown-but-bounded (UBB) noises reside within sequence zonotopes. For purpose saving energy and reducing transmission burden, an mechanism is employed each node to schedule signal transmissions between nodes remote estimator. The aim this design estimator such that, in presence UBB scheduling scheme, resultant error restrained into set...

This article investigates the mixed H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> /H xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> state estimation problem for a class of discrete-time switched complex networks with random coupling strengths through redundant communication channels. A sequence variables satisfying certain probability distributions is employed to describe stochasticity strengths. redundant-channel-based data...

In this paper, the noncooperative optimal control problem is investigated for a class of discrete time-varying networked systems subject to exogenous nonlinear disturbances. To relive transmission burden in sensor-to-controller channel, Round-Robin protocol adopted schedule sensor transmissions. On other hand, controller operates an event-triggered manner so as reduce frequency and thereby preserving energy controller-to-actuator channel. presence underlying scheduling triggering mechanism,...

This article is concerned with the problem of finite-horizon H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> state estimation for time-varying coupled stochastic networks through round-robin scheduling protocol. The inner coupling strengths considered are governed by a random sequence known expectations and variances. For sake mitigating occurrence probability network-induced phenomena, communication network equipped protocol that...

In this article, the simultaneous state and fault estimation problem is investigated for a class of nonlinear 2-D shift-varying systems, where sensors estimator are connected via communication network limited bandwidth. With purpose relieving burden enhancing transmission security, new encoding-decoding mechanism put forward so as to encode transmitted data with finite number bits. The aim addressed develop neural-network (NN)-based set-membership jointly estimating system states faults,...