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...

This paper is concerned with the consensus of multiagent systems nonlinear dynamics through use aperiodic sampled-data controllers, which are more flexible than classical periodic controllers. By input delay approach, resulting system reformulated as a continuous time-varying in control input. A Lyapunov functional, captures information on sampling pattern, together free-weighting matrix method, then used to establish sufficient condition for consensusability. For general case that...

The problem of asynchronous and resilient filtering for discrete-time Markov jump neural networks subject to extended dissipativity is investigated in this paper. modes the designed filter are assumed run asynchronously with original networks, which accord well practical applications described through a hidden model. Due fluctuation parameters, taking into account parameter uncertainty adopted. Being different from norm-bound type has been studied considerable number existing literatures,...

In this paper, the synchronization issue for network systems with nonlinear dynamics is considered. Together zero-order holder, aperiodic sampled-data control law utilized. Compared traditional periodic method, approach demonstrates more greater flexibility. Adopting input delay approach, initial system remodeled by continuous time involving time-varying delays in signals. For purpose of designing sampling controllers suffering constant delays, an updated Lyapunov functional developed from...

This paper is concerned with the synchronization of complex networks subject to partial couplings and Takagi-Sugeno (T-S) fuzzy nodes, by adopting aperiodic sampled-data strategy. A decoupling method utilized handle among connected which enables us investigate each channel independently. On basis input-delay approach, hybrid system about reformulated a continuous time-varying delay system. Then, free-weighting matrix approach novel Lyapunov functional are adopted capture information sampling...

This paper concentrates on the linear least mean square (LLMS) filtered and smoothed estimators for networked stochastic systems. Multiple packet losses, Markovian communication constraints, superposed process noise are considered simultaneously. In order to reduce channel load during communication, at every step, just one transmission node is permitted send data packets. Hence, a protocol utilized arrange packets of these nodes. Moreover, multiple dropouts occur due an imperfect channel....

This paper investigates the event-based control for network systems. Edge-based approach is utilized to predict value of edge state between two event instants. Different from node-based approach, it can significantly reduce communication burden at Based on small gain theorem, closed-loop system expressed as feedback interconnection a linear time-invariant and an operator. The operator describes unstable component has upper bound in L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...

We show, in this paper, how a classical method for feedback linearization of multivariable invertible nonlinear system, via dynamic extension and state feedback, can be robustified. The synthesis the controller is achieved by means recursive procedure that, at each stage, consists augmentation system space, to purpose rendering feedback-linearization possible, design high-gain extended observer, estimating plant as well perturbations due model uncertainties. As result, closed-loop obtained...

In this paper, intelligent devices in industrial manufacturing are modeled as the nodes network systems. The sampled-data control is adopted to guarantee synchronization of proposed strategy can reduce updating frequency controller and communication burden. closed-loop system equivalently rewritten feedback interaction a linear time-invariant time-delay operator. small gain theorem utilized calculate upper bound sampling intervals. Furthermore, integral quadratic constraints provide...

This paper studies the synchronization issue of time-varying Markovian jump neural networks (NNs). The denial-of-service (DoS) attack is considered in communication channel connecting master NNs and slave NNs. An observer designed based on measurements transmitted over this unreliable to estimate their states. deception used destroy controller by changing sign control signal. Then, mixed-type attacks are expressed uniformly, a error system established using function. A finite-horizon l2-l∞...

In this paper, the problem of event-based synchronization heterogeneous complex networks is investigated. Specifically, influence transmission delays on considered. The designed distributed controller for each nonidentical node in network includes reference generator (RG) and robust regulator. Event-based communication protocol utilized to ensure among identical RGs target leader. Meanwhile, interevent intervals are lower bounded by a positive constant. Furthermore, proposed high-gain output...

A novel control strategy for the output synchronization and L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> analysis of network systems is presented in this paper. Nodes heterogeneous have nonidentical dynamics. The designed distributed controller contains reference generator to copy dynamics target trajectory robust regulator (RG) achieve purpose. All RGs adopt communication channels exchange system information. law calculated on...

Deep reinforcement learning (DRL) is a machine method based on rewards, which can be extended to solve some complex and realistic decision-making problems. Autonomous driving needs deal with variety of changeable traffic scenarios, so the application DRL in autonomous presents broad prospect. In this article, an end-to-end policy proposed. On basis proximal optimization (PPO), we combine curiosity-driven called recurrent neural network (RNN) generate intrinsic reward signal encounter agent...

The problem of state-feedback reliable control against sensor failures for Markov jump nonlinear systems taking into account the mixed time delays is investigated in this paper. To describe phenomenon imperfect transmission between system and controller, a mode-dependent stochastic measurement fading model adopted. By introducing two mutually independent channel coefficients, undulation communication workload caused by change mode can be accurately described. Also, including discrete...

In this paper, the problem of output synchronization is investigated for heterogeneous network with an uncertain leader. It assumed that parameter perturbations influence nonidentical linear agents, whose outputs are controlled to track Based on hierarchical structure communication graph, a novel control scheme proposed guarantee synchronization. As there exist uncertainties in models internal model principle used gain robustness versus plant uncertainties. Furthermore, as precise leader...

In this paper, we investigate the synchronization for heterogeneous network subject to event-triggering communication. The designed controller each node includes reference generator (RG) and regulator. predicted value of relative information between intermittent communication can significantly reduce transmitted information. Based on event triggering strategy time-dependent threshold, all RGs exponentially track target trajectory. Then by action regulator, synchronizes with its RG....