scholarly journals Event-Triggered Average Consensus for Multiagent Systems with Time-Varying Delay

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Zhaoxia Wang ◽  
Minrui Fei ◽  
Dajun Du ◽  
Lili Shang
Keyword(s):  
Multiagent Systems ◽  
Undirected Graph ◽  
Sufficient Conditions ◽  
Time Varying ◽  
Time Varying Delay ◽  
Systems Model ◽  
Average Consensus ◽  
Network Load ◽  
Varying Delay ◽  
Event Triggered

The paper investigates average consensus for multiagent systems with time-varying delay. A reducing dimension multiagent systems model is presented firstly. Using event-triggered mechanism to reduce network load, a comprehensive model is then proposed, which considers communication delay and triggered issue. Furthermore, the event-triggered average consensus stability of multiagent systems with fixed directed/undirected graph is analyzed, and sufficient conditions are provided. Moreover, the upper bound of time-varying delay can be obtained conveniently. Finally, simulation results confirm the feasibility and effectiveness of the proposed method.

scholarly journals Event-triggered Weighted Average Consensus in Networks of Dynamic Agents with Time-varying Delay

2021 ◽  
Vol 54 (18) ◽  
pp. 127-132
Author(s):  
Xiang Li ◽  
Jing Zhu
Keyword(s):  
Weighted Average ◽  
Time Varying ◽  
Time Varying Delay ◽  
Average Consensus ◽  
Varying Delay ◽  
Event Triggered

scholarly journals Adaptive Event-Triggered Synchronization of Uncertain Fractional Order Neural Networks with Double Deception Attacks and Time-Varying Delay

Entropy ◽  
2021 ◽  
Vol 23 (10) ◽  
pp. 1291
Author(s):  
Zhuan Shen ◽  
Fan Yang ◽  
Jing Chen ◽  
Jingxiang Zhang ◽  
Aihua Hu ◽  
...  
Keyword(s):  
Closed Loop ◽  
Sufficient Conditions ◽  
Functional Method ◽  
Time Varying ◽  
Time Varying Delay ◽  
Control Scheme ◽  
The Stability ◽  
High Level ◽  
Varying Delay ◽  
Event Triggered

This paper investigates the problem of adaptive event-triggered synchronization for uncertain FNNs subject to double deception attacks and time-varying delay. During network transmission, a practical deception attack phenomenon in FNNs should be considered; that is, we investigated the situation in which the attack occurs via both communication channels, from S-C and from C-A simultaneously, rather than considering only one, as in many papers; and the double attacks are described by high-level Markov processes rather than simple random variables. To further reduce network load, an advanced AETS with an adaptive threshold coefficient was first used in FNNs to deal with deception attacks. Moreover, given the engineering background, uncertain parameters and time-varying delay were also considered, and a feedback control scheme was adopted. Based on the above, a unique closed-loop synchronization error system was constructed. Sufficient conditions that guarantee the stability of the closed-loop system are ensured by the Lyapunov-Krasovskii functional method. Finally, a numerical example is presented to verify the effectiveness of the proposed method.

scholarly journals Observer-Based Event-Triggered Control for Switched Systems with Time-Varying Delay and Norm-Bounded Disturbance

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Guoqi Ma ◽  
Linlin Qin ◽  
Xinghua Liu ◽  
Gang Wu
Keyword(s):  
Finite Time ◽  
Sufficient Conditions ◽  
Average Dwell Time ◽  
Time Varying ◽  
Time Varying Delay ◽  
Exogenous Disturbance ◽  
Finite Time Stabilization ◽  
Finite Time Boundedness ◽  
Varying Delay ◽  
Event Triggered

This paper is concerned with the problem of observed-based event-triggered control for switched linear systems with time-varying delay and exogenous disturbance. First by employing a state observer, an observer-based event-triggered controller is designed to guarantee the finite-time boundedness and finite-time stabilization of the resulting dynamic augmented closed-loop system. Then based on the Lyapunov-like function method and the average dwell time technique, some sufficient conditions are given to ensure the finite-time boundedness and finite-time stabilization, respectively. Furthermore, the lower bound of the minimum interevent interval is proved to be positive, which thus excludes the Zeno behavior of sampling. A numerical example is finally exploited to verify the effectiveness and potential of the achieved control scheme.

scholarly journals Leader-Follower Consensus of Second-Order Multiagent Systems with Absent Velocity Measurement and Time Delay

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Panpan Yang ◽  
Ye Tang ◽  
Maode Yan ◽  
Lei Zuo
Keyword(s):  
Time Delay ◽  
Multiagent Systems ◽  
Velocity Measurement ◽  
Sufficient Conditions ◽  
Constant Time Delay ◽  
Constant Time ◽  
Time Varying ◽  
Consensus Protocol ◽  
Time Varying Delay ◽  
Varying Delay

The leader-follower consensus problem of second-order multiagent systems with both absent velocity measurement and time delay is considered. First of all, the consensus protocol is designed by introducing an auxiliary system to compensate for the unavailability of the velocity information. Then, time delay is incorporated into the consensus protocol and two cases with, respectively, constant time delay and time-varying delay are investigated. For the case of constant time delay, Lyapunov-Razumikhin theorem is deployed to obtain the sufficient conditions that guarantee the stability of the consensus algorithm. For the case of time-varying delay, the sufficient conditions are also derived by resorting to the Lyapunov-Razumkhin theorem and linear matrix inequalities (LMIs). Various numerical simulations demonstrate the correctness of the theoretical results.

Leader-following consensus of discrete-time multiagent systems with time-varying delay based on large delay theory

2017 ◽  
Vol 417 ◽  
pp. 236-246 ◽  
Author(s):  
Huiwei Liu ◽  
Hamid Reza Karimi ◽  
Shengli Du ◽  
Weiguo Xia ◽  
Chongquan Zhong
Keyword(s):  
Multiagent Systems ◽  
Discrete Time ◽  
Time Varying ◽  
Large Delay ◽  
Time Varying Delay ◽  
Leader Following ◽  
Varying Delay

Exponential Stability for Stochastic Neural Networks with Time-Varying Delay and Leakage Delay

2015 ◽  
Vol 742 ◽  
pp. 399-403
Author(s):  
Ya Jun Li ◽  
Jing Zhao Li
Keyword(s):  
Neural Networks ◽  
Exponential Stability ◽  
Sufficient Conditions ◽  
Leakage Delay ◽  
Linear Matrix ◽  
Stochastic Neural Networks ◽  
Time Varying ◽  
Matrix Inequalities ◽  
Time Varying Delay ◽  
Varying Delay

This paper investigates the exponential stability problem for a class of stochastic neural networks with leakage delay. By employing a suitable Lyapunov functional and stochastic stability theory technic, the sufficient conditions which make the stochastic neural networks system exponential mean square stable are proposed and proved. All results are expressed in terms of linear matrix inequalities (LMIs). Example and simulation are presented to show the effectiveness of the proposed method.

Synchronisation of multiple neural networks via event‐triggered time‐varying delay hybrid impulsive control

2021 ◽  
Author(s):  
Xiaoli Ruan ◽  
Chen Xu ◽  
Jianwen Feng ◽  
Jingyi Wang ◽  
Yi Zhao
Keyword(s):  
Neural Networks ◽  
Impulsive Control ◽  
Time Varying ◽  
Time Varying Delay ◽  
Multiple Neural Networks ◽  
Varying Delay ◽  
Event Triggered

Quantized Event-triggered feedback control under fuzzy system with time-varying delay and Actuator fault

2020 ◽  
Vol 35 ◽  
pp. 100823 ◽  
Author(s):  
Muhammad Shamrooz Aslam ◽  
Irfan Qaisar ◽  
Muhammad Ahsan Saleem
Keyword(s):  
Feedback Control ◽  
Fuzzy System ◽  
Time Varying ◽  
Actuator Fault ◽  
Time Varying Delay ◽  
Varying Delay ◽  
Event Triggered
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