This paper addresses the decentralized output feedback problem of an interconnected nonlinear system subject to uncertain interactions. A decentralized event-triggered control scheme is presented so that the decentralized output feedback problem is solved with only event-sampling states. With the proposed triggering mechanism, each subsystem only uses local signals to construct the decentralized controller at its own triggering times or the switching times. It is proved that both the tracking performance and the closed-loop stability can be preserved via the presented approach. Moreover, a uniform positive lower bound for the interevent time is guaranteed. Simulation results are presented to illustrate the effectiveness of the proposed control design.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1109/TCYB.2019.2894024 | DOI Listing |
This article deals with the load frequency control problem of multiarea power systems subject to multiple intermittent denial-of-service (DoS) attacks that can interrupt the data transmission of each area independently. A decentralized event-triggering (ET) scheme under periodic sampling is proposed to reduce the transmission burden. Then, a decentralized ET-based controller is designed by tuning several parameters.
View Article and Find Full Text PDFHeliyon
July 2024
Mathematics department, College of Humanities and Science in Al Aflaj, Prince Sattam Bin Abdulaziz University, 11912, Saudi Arabia.
The goal of this paper is to mitigate disturbances and input delays while optimizing controller actuation updates for discrete-time multi-agent systems through the use of an event-triggered confinement control system, especially in resource-constrained scenarios. This approach when combined with event-triggered control techniques, then every follower in the system adjusts its condition at specified times based on an event-triggered condition that is suggested. The containment control system issue in the presence of disturbances and input delays was tackled by using both decentralized and centralized event-triggered control systems.
View Article and Find Full Text PDFIEEE Trans Cybern
March 2024
The neural network-based adaptive backstepping method is an effective tool to solve the cooperative tracking problem for nonlinear multiagent systems (MASs). However, this method cannot be directly extended to the case without continuous communication. It is because the discontinuous communication results in discontinuous signals in this case, the standard backstepping method is inapplicable.
View Article and Find Full Text PDFNeural Netw
August 2023
School of Mathematics, Southeast University, 211189, Nanjing, PR China. Electronic address:
This paper considers the decentralized optimization problem, where agents in a network cooperate to minimize the sum of their local objective functions by communication and local computation. We propose a decentralized second-order communication-efficient algorithm called communication-censored and communication-compressed quadratically approximated alternating direction method of multipliers (ADMM), termed as CC-DQM, by combining event-triggered communication with compressed communication. In CC-DQM, agents are allowed to transmit the compressed message only when the current primal variables have changed greatly compared to its last estimate.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!