In this paper, a novel swarm optimization approach, namely sparrow search algorithm (SSA), is proposed inspired by the group wisdom, foraging and anti-predation behaviours of sparrows. Experiments on 19 benchmark functions are conducted to test performance SSA its compared with other algorithms such as grey wolf optimizer (GWO), gravitational (GSA), particle (PSO). Simulation results show that superior over GWO, PSO GSA in terms accuracy, convergence speed, stability robustness. Finally,...

This paper is concerned with the synchronization control problem for a class of discrete time-delay complex dynamical networks under dynamic event-triggered mechanism. For efficiency energy utilization, we make first attempt to introduce event-triggering strategy into design controllers networks. A new discrete-time version mechanism proposed in terms absolute errors between input updates. By constructing an appropriate Lyapunov functional, dynamics each network node combined introduced are...

Abstract This article is concerned with the recursive finite-horizon filtering problem for a class of nonlinear time-varying systems subject to multiplicative noises, missing measurements and quantisation effects. The are modelled by series mutually independent random variables obeying Bernoulli distributions possibly different occurrence probabilities. phenomenon described using logarithmic function noises considered account stochastic disturbances on system states. Attention focused design...

This technical note is concerned with the sampled-data synchronization control problem for a class of dynamical networks. The sampling period considered here assumed to be time-varying that switches between two different values in random way given probability. addressed first formulated as an exponentially mean-square stabilization new networks involve both multiple probabilistic interval delays (MPIDs) and sector-bounded nonlinearities (SBNs). Then, novel Lyapunov functional constructed...

In this paper, new synchronization and state estimation problems are considered for an array of coupled discrete time-varying stochastic complex networks over a finite horizon. A novel concept bounded H(∞) is proposed to handle the nature networks. Such captures transient behavior network horizon, where degree quantified in terms H(∞)-norm. general sector-like nonlinear function employed describe nonlinearities existing network. By utilizing real-valued Kronecker product, criteria...

In this paper, a data-driven scheme of key performance indicator (KPI) prediction and diagnosis is developed for complex industrial processes. For static processes, KPI approach proposed in order to improve the performance. comparison with standard partial least squares (PLS) method, alternative significantly simplifies computation procedure. By means realization so-called left coprime factorization (LCF) process, efficient prediction, algorithms are dynamic respectively, without measurable...

In this paper, the quantized H∞ control problem is investigated for a class of nonlinear stochastic timedelay network-based systems with probabilistic data missing.A system state delays employed to model networked where measured output and input signals are by two logarithmic quantizers, respectively.Moreover, missing phenomena modeled introducing diagonal matrix composed Bernoulli distributed variables taking values 1 0, which describes that from different sensors may be lost...

In this paper, the H∞ state estimation problem is investigated for a class of complex networks with uncertain coupling strength and incomplete measurements. With aid interval matrix approach, we make first attempt to characterize uncertainties entering into inner matrix. The measurements under consideration include sensor saturations, quantization, missing measurements, all which are assumed occur randomly. By introducing stochastic Kronecker delta function, these described in unified way...

This article tackles the recursive filtering problem for a class of stochastic nonlinear time-varying complex networks (CNs) suffering from both state saturations and deception attacks. The inner coupling are taken into account to characterize nature CNs. From defender's perspective, randomly occurring attack is governed by set Bernoulli binary distributed white sequence with given probability. objective addressed design state-saturated filter such that, in simultaneous presence attacks,...

In this paper, the state estimation problem is investigated for a class of discrete time-delay nonlinear complex networks with randomly occurring phenomena from sensor measurements. The include saturations (ROSSs) and varying delays (RVSDs) that result typically networked environments. A novel model proposed to describe ROSSs RVSDs within unified framework via two sets Bernoulli-distributed white sequences known conditional probabilities. Rather than employing commonly used Lipschitz-type...

In this paper, a new <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> filtering approach is developed for class of discrete time-varying systems subject to missing measurements and quantization effects. The are modeled via diagonal matrix consisting series mutually independent random variables satisfying certain probabilistic distributions on the interval [0,1] . measured output...

In this paper, the event-triggered state estimation problem is investigated for a class of discrete-time multidelayed neural networks with stochastic parameters and incomplete measurements. order to cater more realistic transmission process signals, we make first attempt introduce set variables characterize random fluctuations system parameters. addressed network model, delays among interconnections are allowed be different, which general than those in existing literature. The information...

Survey/review study A Survey on Recent Advances in Distributed Filtering over Sensor Networks Subject to Communication Constraints Yu-Ang Wang 1,2, Bo Shen Lei Zou and Qing-Long Han 3,* 1 College of Information Science Technology, Donghua University, Shanghai 201620, China 2 Engineering Research Center Digitalized Textile Fashion Ministry Education, 3 School Science, Computing Technologies, Swinburne University Melbourne, VIC 3122, Australia * Correspondence: qhan@swin.edu.au Received: 30...

This paper is concerned with the problem of finite-horizon energy-to-peak state estimation for a class networked linear time-varying systems. Due to inherent vulnerability network-based communication, measurement signals transmitted over communication network might be intercepted by potential eavesdroppers. To avoid information leakage, resorting an artificial-noise-assisted method, we develop novel encryption-decryption scheme ensure that signal composed raw and artificial-noise term. A...

In this paper, the <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> filtering problem is investigated for a general class of nonlinear discrete-time stochastic systems with missing measurements. The system under study not only corrupted by state-dependent white noises but also disturbed exogenous inputs. measurement output contains randomly data that modeled Bernoulli distributed...

In this paper, the problem of distributed <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> filtering in sensor networks using a stochastic sampled-data approach is investigated. A set general nonlinear equations described by sector-bounded nonlinearities utilized to model system and sensors networks. Each receives information from both its neighbors. The signal received each sampled...

In this paper, the distributed <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i> <sub xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> filtering problem is addressed for a class of polynomial nonlinear stochastic systems in sensor networks. For Lyapunov function candidate whose entries are polynomials, we calculate its first- and second-order derivatives order to facilitate use Itô's differential rule. Then, sufficient condition existence...

This technical note deals with the H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> control problem for a class of discrete time-varying nonlinear systems both randomly occurring nonlinearities and fading measurements over finite-horizon. The system are transmitted through channels described by modified stochastic Rice model. purpose addressed is to design set controllers such that, in presence channel nonlinearities, performance...