This paper considers the distributed event-triggered consensus problem for general linear multiagent networks. Both leaderless and leader-follower problems are considered. Based on local sampled state information, adaptive protocols designed, which can ensure that of agents is achieved, Zeno behavior excluded by showing interval between any two triggering events lower-bounded a strictly positive value. Compared with previous related works, our main contribution proposed event-based fully...

This paper studies the distributed event-triggered tracking control problem of general linear multiagent systems with a dynamic leader, whose input might be nonzero and unknown. The existence leader's unknown renders network heterogeneous largely increases difficulty designing event-based protocols. To solve this problem, we establish novel asynchronous edge-based mechanism, under which communication is not required from leader to its out-neighbors (informed followers) or by edge, unless...

This paper considers the distributed event-triggered consensus control problem for a network of linear systems subject to bounded uncertainties satisfying matching condition. Due existence nonidentical uncertainties, multiagent system studied in this is essentially heterogeneous, and which much more challenging than that homogeneous networks existing works. We propose static nonsmooth protocol includes nonlinear term ensure achieved Zeno behavior excluded. To avoid undesirable chattering...

This paper investigates the distributed event-based consensus problem of switching networks satisfying jointly connected condition. Both state homogeneous linear and output heterogeneous are studied. Two kinds protocols based on local sampled information designed, without need to solve any matrix equation or inequality. Theoretical analysis indicates that proposed guarantee achievement exclusion Zeno behaviors for undirected graphs. These protocols, relying no global knowledge network...

This article studies the consensus control problem faced with three essential demands, namely, discrete updating for each agent, discrete-time communications among neighboring agents, and fully distributed fashion of controller implementation without requiring any global information network topology. Note that existing related results only meet one or two demands at most, which are essentially not applicable to this problem. In article, a novel dynamic triggering condition is first...

This brief considers the distributed output regulation problem of multiple heterogeneous agents in presence an exosystem and constrained with limited communication bandwidth. To estimate exosystem, we devise adaptive edge-based event-triggered dynamic observers for all followers. Then, both state feedback control inputs to guarantee that regulated asymptotically converges zero. The presented protocols composed local are completely can reduce frequency.

This paper investigates the cooperative tracking control problem of multiagent systems where each agent is described as a Lur'e system. We first consider case leader's input zero and design distributed adaptive event-triggered protocol for followers to track leader. then deal with general leader contains bounded by proposing novel event-based protocol, including nonlinear term restrain effect input. Both proposed protocols can guarantee uniform ultimate boundedness error gains without...

Deep learning (DL) models such as multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) have strong feature representation nonlinear mapping capabilities, their effectiveness has been demonstrated in fault diagnosis. However, features usually occur at different scales are always disturbed by noise, making it difficult for DL-based to learn local global information mechanical vibration signals. To address this issue, a multigrained hybrid network named MgHNN is proposed...

The key pillar of developing digital city is the ubiquitous sensing people and environment. Crowdsensing requires a large number users to participate in collection data, these data may carry sensitive information, such as identity location related or object. If this information eavesdropped, intercepted, leaked, seriously harm interests individuals, organizations, even countries. Therefore, from privacy perspective, be reluctant open data. While relying on mobile devices used by ordinary...

Previous studies primarily focused on the seismic performance of high-strength concrete (HSC) members and static behavior high-performance (HPC) members. The work presented here aims at studying HPC frames under low reversed cyclic loading to provide guidance support design structures in regions. Experimental are conducted investigate failure patterns, mechanism, strains longitudinal bars, P-Δ curves, characteristic loads, displacement-restoring capacity, displacement ductility coefficient,...

This study considers the distributed containment problem of Euler–Lagrange systems over directed graphs in presence multiple dynamic leaders having varying vectors generalised coordinate derivatives and accelerations. A continuous algorithm is proposed, which can guarantee error uniformly ultimately bounded converges to a small adjustable residual set. The authors also design adaptive protocols for case where physical parameters are unknown. Then, as special case, they protocol solve...

This paper considers the distributed event-triggered consensus problem for linear multi-agent systems. Distributed event-based protocols, consisting of control laws and triggering functions, are designed, under which error is asymptotically stable Zeno behavior can be excluded. Compared to previous related works, our main contribution that we propose a fully adaptive protocol, independent network's scale relying on none global information network graph. Based strategy, continuous...

In this brief, we address the distributed consensus problem of multiple Lur'e systems over directed graphs with limited frequencies communication and control updating. A adaptive event-based protocol is proposed to guarantee that achieved, which fully independent any global information. Moreover, designed scheme does not rely on continuous relative information among neighboring agents each agent required update controller continuously. Finally, simulation examples are presented show...

This paper considers the distributed consensus control problem constrained by discrete communications among neighboring agents and updating. For undirected graphs, we progressively propose several event-triggered protocols composed of controllers conditions. directed include time-varying coupling gains plus monotonically increasing functions into both two components protocol, in order to avoid requirement global information provide extra freedom for design. It is shown that presented can...

This paper presents an aspect-oriented approach to dynamic adaptation. A systematic process for defining where, when, and how adaptation is be incorporated into application presented. Specifically, the a two-phase adaptation, where first phase prepares non-adaptive program second implements at run time. illustrated with distributed conferencing application.

This paper considers the coordinated tracking problem of Euler-Lagrange systems over directed graphs in presence a dynamic leader having varying vectors generalized coordinate derivatives. A distributed continuous algorithm is proposed, which can guarantee that error ultimately bounded and converges to small adjustable residual set for any communication graph containing spanning tree with as root node. Compared previous related works, our contribution proposed avoid undesirable chattering...