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Journal ArticleDOI

Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control

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TLDR
A novel event-triggered control law is proposed which could greatly reduce the number of control updates for synchronization tasks of coupled switched neural networks involving embedded microprocessors with limited on-board resources.
Abstract
This paper addresses the issue of synchronization of switched delayed neural networks with communication delays via event-triggered control. For synchronizing coupled switched neural networks, we propose a novel event-triggered control law which could greatly reduce the number of control updates for synchronization tasks of coupled switched neural networks involving embedded microprocessors with limited on-board resources. The control signals are driven by properly defined events, which depend on the measurement errors and current-sampled states. By using a delay system method, a novel model of synchronization error system with delays is proposed with the communication delays and event-triggered control in the unified framework for coupled switched neural networks. The criteria are derived for the event-triggered synchronization analysis and control synthesis of switched neural networks via the Lyapunov-Krasovskii functional method and free weighting matrix approach. A numerical example is elaborated on to illustrate the effectiveness of the derived results.

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Citations
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Journal ArticleDOI

Estimation of Domain of Attraction for Aperiodic Sampled-Data Switched Delayed Neural Networks Subject to Actuator Saturation

TL;DR: By describing the domain of attraction as a time-varying ellipsoid determined by the time-scheduled Lyapunov matrix, the proposed theoretical conditions are transformed into a linear matrix inequality (LMI)-based multi-objective optimization problem and the dynamic estimates of thedomain of attraction for ASDSDNNs are solved.
Journal ArticleDOI

Event-Triggered Stabilization for Takagi–Sugeno Fuzzy Complex-Valued Memristive Neural Networks With Mixed Time-Varying Delays

TL;DR: After combining the inequality technique with the Lyapunov function approach, some easily verified sufficient conditions are established to ensure stabilization of the Takagi–Sugeno fuzzy complex-valued memristive neural networks with mixed time-varying delays under the proposed event-triggered scheme.
Journal ArticleDOI

Design of robust reliable control for T-S fuzzy Markovian jumping delayed neutral type neural networks with probabilistic actuator faults and leakage delays: An event-triggered communication scheme.

TL;DR: A Markov jump event-triggered scheme designed in this paper to guarantee the considered closed-loop system is exponential mean square stable with a prescribed reliable control performance, which is the main purpose of this study.
Journal ArticleDOI

Adaptive Synchronization of Delayed Memristive Neural Networks With Unknown Parameters

TL;DR: The drive-response synchronization of the delayed memristive neural networks (MNNs) with unknown parameters is studied and the update laws for weights in the response system and the gains of adaptive controllers are developed to synchronize the proposed response system with the delayed MNNs.
Journal ArticleDOI

Finite-time synchronization of memristor neural networks via interval matrix method.

TL;DR: The finite-time synchronization problems of two types of driven-response memristor neural networks (MNNs) without time-delay and with time-varying delays are investigated via interval matrix method, respectively, based on interval matrix transformation.
References
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Journal ArticleDOI

Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks

TL;DR: This note investigates a simple event-triggered scheduler based on the paradigm that a real-time scheduler could be regarded as a feedback controller that decides which task is executed at any given instant and shows how it leads to guaranteed performance thus relaxing the more traditional periodic execution requirements.
Journal ArticleDOI

Controlling chaos

Proceedings ArticleDOI

Stability of switched systems with average dwell-time

TL;DR: In this article, it was shown that scale-independent hysteresis can produce switching that is slow-on-the-average and therefore the results mentioned above can be used to study the stability of adaptive control systems.

Stability of Switched Systems with Average Dwell-Time 1

TL;DR: In this article, it was shown that switching among stable linear systems results in a stable system provided that switching is slow-on-the-average, i.e., the number of switches in any nite interval grows linearly with the length of the interval, and the growth rate is suciently small.
Journal ArticleDOI

Distributed Event-Triggered Control for Multi-Agent Systems

TL;DR: The controller updates considered here are event-driven, depending on the ratio of a certain measurement error with respect to the norm of a function of the state, and are applied to a first order agreement problem.
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