In this note, the problem of second-order leader-following consensus by a novel distributed event-triggered sampling scheme in which agents exchange information via limited communication medium is studied. Event-based rules are designed, where each agent decides when to measure its own state value and requests neighbor broadcast their values across network locally-computed measurement error exceeds state-dependent threshold. For case fixed topology, necessary sufficient condition...

This article addresses the adaptive event-triggered neural control problem for nonaffine pure-feedback nonlinear multiagent systems with dynamic disturbance, unmodeled dynamics, and dead-zone input. Radial basis function networks are applied to approximate unknown function. A signal is constructed deal design difficulties in dynamics. Moreover, reduce communication burden, we propose an strategy a varying threshold. Based on Lyapunov method approach, novel protocol constructed, which...

A multiple exp-function method for exact wave solutions of nonlinear partial differential equations is proposed. The oriented towards the ease use and capability computer algebra systems provides a direct systematic solution procedure that generalizes Hirota's perturbation scheme. With help Maple, applying approach to (3+1)-dimensional potential-Yu–Toda–Sasa–Fukuyama equation yields explicit one-wave, two-wave three-wave solutions, which include one-soliton, two-soliton three-soliton type...

In this paper, the leader-following consensus problem of high-order multiagent systems via event-triggered control is discussed. A novel distributed communication protocol based on state estimates neighboring agents proposed to solve systems. We first investigate in a fixed topology, and then extend switching topologies. State topology are only updated when trigger condition satisfied. However, topologies renewed with two cases: 1) switched or 2) Clearly, compared continuous-time...

To reduce information exchange requirements in smart grids, an event-triggered communication-based distributed optimization is proposed for economic dispatch. In this work, the θ-logarithmic barrier-based method employed to reformulate dispatch problem, and consensus-based approach considered developing fully technology-enabled algorithms. Specifically, a novel algorithm utilizes minimum connected dominating set (CDS), which efficiently allocates task of balancing supply demand entire power...

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...

The H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> control design problem is considered for nonlinear systems with unknown internal system model. It known that the can be transformed into solving so-called Hamilton-Jacobi-Isaacs (HJI) equation, which a partial differential equation generally impossible to solved analytically. Even worse, model-based approaches cannot used approximately HJI when accurate model unavailable or costly...

This article studies the distributed observer-based event-triggered bipartite tracking control problem for stochastic nonlinear multiagent systems with input saturation. First, different from conventional observers, we construct a novel reduced-order observer to estimate unknown states systems. Then, an mechanism relative threshold is introduced reduce burden of communication. In addition, controller proposed by using fuzzy logic and backstepping approach. Meanwhile, it proved that designed...

This paper focuses on the hybrid effects of parameter uncertainty, stochastic perturbation, and impulses global stability delayed neural networks. By using Ito formula, Lyapunov function, Halanay inequality, we established several mean-square criteria from which can estimate feasible bounds impulses, provided that uncertainty perturbations are well-constrained. Moreover, present method also be applied to general differential systems with perturbation impulses.

This paper investigates the problem of global exponential lag synchronization a class switched neural networks with time-varying delays via activation function and applications in image encryption. The controller is dependent on output system case packed circuits, since it hard to measure inner state circuits. Thus, critical design based neuron function. Comparing results, this paper, existing ones shows that we improve generalize results derived previous literature. Several examples are...

In this paper, we study the consensus problem for a class of linear multiagent systems, where communication networks are directed. First, dynamic event-triggering mechanism is introduced, including some existing static mechanisms as its special cases. Second, based on mechanism, distributed control protocol developed, which ensures that all agents can reach with an exponential convergence rate. Third, it shown that, minimum interevent time between any two consecutive triggering instants be...

This paper studies the quantized cooperative control problem for multiagent systems with unknown gains in prescribed performance. Different from finite-time control, a speed function is designed to realize that tracking errors converge compact set given finite time systems. Meanwhile, we consider of and input quantization, which can be addressed by using lemma Nussbaum control. Moreover, fuzzy logic are proposed approximate nonlinear defined on set. A distributed controller adaptive laws...

Model-free control is an important and promising topic in fields, which has attracted extensive attention the past few years. In this paper, we aim to solve model-free optimal tracking problem of nonaffine nonlinear discrete-time systems. A critic-only Q-learning (CoQL) method developed, learns from real system data, thus avoids solving Hamilton-Jacobi-Bellman equation. First, algorithm proposed based on augmented system, its convergence established. Using only one neural network for...

This paper investigates the problem of exponential lag synchronization control memristive neural networks (MNNs) via fuzzy method and applications in pseudorandom number generators. Based on knowledge memristor recurrent networks, model MNNs is established. Then, considering state-dependent properties memristor, a employed to provide new way analyzing complicated with only two subsystems, update laws for connection weights slave systems controller gain are designed make exponentially...

This paper investigates the synchronization of coupled chaotic systems with time delay in presence parameter mismatches by using intermittent linear state feedback control. Quasi-synchronization criteria are obtained means a Lyapunov function and differential inequality method. Numerical simulations on presented to demonstrate effectiveness theoretical results.

This paper investigates the fuzzy control issue for uncertain active suspension systems via dynamic sliding-mode method. The Takagi-Sugeno approach is adopted on background of varying masses to describe prescribed nonlinear system in order achieve design targets method sector nonlinearity. employs scheme systems. In proposed scheme, sliding surface function formed linearly with states and inputs. Then, a term utilized construct feedback controller. existing results, mode achieved maintained...

In this paper, the consensus problem is studied for a class of multi-agent systems with sampled data and packet losses, where random deterministic losses are considered, respectively. For Bernoulli-distributed white sequence used to describe dropouts among agents in stochastic way. switched system stable unstable subsystems employed model The purpose paper derive criteria, such that linear sampled-data can reach consensus. By means Lyapunov function approach decomposition method, design...

The resource allocation problem is studied and reformulated by a distributed interior point method via θ-logarithmic barrier. By the facilitation of graph Laplacian, fully continuous-time multiagent system developed for solving problem. Specifically, to avoid high singularity barrier at boundary, an adaptive parameter switching strategy introduced into this dynamical system. convergence rate algorithm obtained. Moreover, novel primal-dual designed in smart grid scenario seek saddle economic...

This paper applies an input-based triggering approach to investigate the secure consensus problem in multiagent systems under denial-of-service (DoS) attacks. The DoS attacks are based on time-sequence fashion and occur aperiodically unknown attack strategy, which can usually damage control channels executed by intelligent adversary. A novel event-triggered scheme basis of relative interagent state is developed attacks, designing a link-based estimator estimate between intermitted...

This article is concerned with the problem of containment control respect to continuous-time semi-Markovian multiagent systems switching topologies. Two kinds classical schemes, which are dynamic and static utilized address proposed synthesis problem. Based on linear matrix inequality (LMI) method, controller designed plunge into studied systems, respectively. Moreover, random topologies process, partly unknown transition rates, generally uncertain rates taken account, can be applicable more...