scholarly journals Consensus Problems in Multiagent Systems with Event-Triggered Dynamic Quantizers

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Changgeng Luo ◽  
Xinsheng Wang ◽  
Yu Ren
Keyword(s):  
Numerical Simulation ◽  
Multiagent Systems ◽  
State Feedback ◽  
Data Rate ◽  
Control Input ◽  
Consensus Strategy ◽  
And Control ◽  
Dynamic Quantizer ◽  
A Current ◽  
Event Triggered

Considering the constrained communication data rate and compute capability that commonly exists in multiagent systems, this paper modifies a current consensus strategy by introducing a kind of dynamic quantizer in both state feedback and control input and updates dynamic quantizers by employing event-triggered strategies, thus forming a new quantitative consensus strategy. The numerical simulation example is built for state quantization and the results show the consistency with expectation.

Event-triggered control of networked switched systems under network attacks

2021 ◽  
pp. 014233122110502
Author(s):  
Yuchen Han ◽  
Jie Lian
Keyword(s):  
Switched Systems ◽  
Denial Of Service ◽  
Average Dwell Time ◽  
Packet Transmission ◽  
Control Input ◽  
Dos Attack ◽  
Network Attacks ◽  
Probabilistic Characterization ◽  
And Control ◽  
Event Triggered

This paper is concerned with the event-triggered control (ETC) problem for switched systems in networked environments, which are suffered from denial-of-service (DoS) attack and deception attack. Considering that the packet in networked switched systems contains the sampled state and switching signal, DoS attack prevents the packet transmission to cause the zero input, while deception attack falsifies the packet to cause the asynchronous control input with nonlinear disturbance. First, the probabilistic characterization of invalid packet transmissions caused by two different attack models is constructed, namely the ratio of the number of packet transmissions suffering from network attacks to the total number of packet transmissions. Second, a suitable ETC scheme is designed to determine the next triggering instant, which guarantees that the value of Lyapunov function cannot exceed a given restriction and updates the control input at switching instant. After that, the average dwell time and control gains are designed to guarantee the almost sure asymptotic stability of such systems. Finally, a numerical simulation is given to verify the effectiveness of the theoretical results.

scholarly journals Distributed Event-Triggered Control of Multiagent Systems with Time-Varying Topology

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Jingwei Ma ◽  
Jie Zhou ◽  
Yanping Gao
Keyword(s):  
Multiagent Systems ◽  
Linear Matrix Inequalities ◽  
Linear Matrix ◽  
Control Input ◽  
Time Varying ◽  
Matrix Inequalities ◽  
Common Lyapunov Function ◽  
Event Triggering ◽  
Lyapunov Function Method ◽  
Event Triggered

This paper studies the consensus of first-order discrete-time multiagent systems, where the interaction topology is time-varying. The event-triggered control is used to update the control input of each agent, and the event-triggering condition is designed based on the combination of the relative states of each agent to its neighbors. By applying the common Lyapunov function method, a sufficient condition for consensus, which is expressed as a group of linear matrix inequalities, is obtained and the feasibility of these linear matrix inequalities is further analyzed. Simulation examples are provided to explain the effectiveness of the theoretical results.

Distributed Event-Triggered Quantizer in Multi-Agent Systems

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Huaqiang Zhang ◽  
Yu Ren ◽  
Xinsheng Wang
Keyword(s):  
Theoretical Analysis ◽  
Control Strategy ◽  
Numerical Results ◽  
Control Input ◽  
Consensus Problem ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Consensus Strategy ◽  
Multi Agent ◽  
Event Triggered

This paper investigates a kind of consensus problem in multi-agent systems, revises an existing control input for consensus by dynamic quantizers, and also gives a visible distributed event-triggered rule to update the parameters for dynamic quantizers. In other words, distributed event-triggered dynamic quantizers are firstly proposed and employed when designing a consensus strategy for multi-agent systems by this paper. Meanwhile, the overall steps of the control strategy are included. The numerical results come to agreement with the theoretical analysis, and shows that the proposed strategy can get faster convergence speed in comparison with an existing one.

Distributed event-triggered consensus protocols for discrete-time multiagent systems

2021 ◽  
Author(s):  
Bilal J Karaki ◽  
Magdi S Mahmoud
Keyword(s):  
Multiagent Systems ◽  
Discrete Time ◽  
Sufficient Conditions ◽  
Control Law ◽  
Theory Approach ◽  
Consensus Protocol ◽  
Leader Following ◽  
And Control ◽  
Time Linear ◽  
Event Triggered

Abstract This paper focuses on leader-following and leaderless consensus problems of discrete-time multiagent systems. A distributed observer-based consensus protocol is proposed to investigate the consensus problem for multiagent systems of general discrete-time linear dynamics. By means of the observer, the distributed control law of each agent is designed using local information to guarantee consensus, and the corresponding sufficient conditions are obtained by exploiting graph and control theory approach. A modified distributed event-triggered consensus protocol is designed to reduce communication congestion. Detailed analysis of the leaderless and the leader-following consensus is presented for both observer-based and full-information protocols. Finally, two simulation examples are provided to demonstrate the effectiveness and capabilities of the established theories.

scholarly journals Formation Control with Event-Triggered Strategy for Multi-Agent Systems

2014 ◽  
Vol 18 (1) ◽  
pp. 71-77 ◽  
Author(s):  
Feng Zhou ◽  
◽  
Zhiwu Huang ◽  
Weirong Liu ◽  
Liran Li
Keyword(s):  
Formation Control ◽  
Control Input ◽  
Multi Agent Systems ◽  
Control Laws ◽  
Agent Systems ◽  
Event Trigger ◽  
Multi Agent ◽  
Event Based ◽  
And Control ◽  
Event Triggered

This paper considers cooperative formation control on networked multi-agent systems, in which the mobile agents have limited resources. Two event-based strategies are introduced to reduce resource utilization and control actuation in formation control. In one strategy, the event trigger function is designed to use system state, whereas in the other, it is designed to use control input. Theoretical and experimental analyses of the pros and cons of the two strategies are given. In addition, the stabilities of the two event-triggered formation control laws are discussed. The results of simulations conducted confirm the feasibility and effectiveness of the proposed methods.

scholarly journals Event-Based Consensus for General Linear Multiagent Systems under Switching Topologies

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Yinshuang Sun ◽  
Zhijian Ji ◽  
Kaien Liu
Keyword(s):  
Multiagent Systems ◽  
Control Strategies ◽  
Sufficient Conditions ◽  
General Linear ◽  
Control Input ◽  
Switching Topologies ◽  
Event Triggering ◽  
Leader Following ◽  
Fixed Topology ◽  
Event Triggered

In this paper, event-triggered leader-following consensus of general linear multiagent systems under both fixed topology and switching topologies is studied. First, centralised and decentralised event-triggered control strategies based on neighbors’ state estimation are proposed under fixed topology, in which the controller is only updated at the time of triggering. Obviously, compared with the continuous time control algorithms, the event-triggered control strategies can reduce the communication frequency among agents effectively. Meanwhile, event-triggering conditions are derived for systems to achieve consensus by using the Lyapunov stability theory and model transformation method. Then, the theoretical results obtained under the fixed topology are extended to the switching topologies, and the sufficient conditions for the system to achieve leader-following consensus under the switching topologies are given. However, different from fixed topology, the control input of each agent is updated both at event-triggering and topology switching time. Finally, Zeno behaviors can be excluded by proving that the minimum triggering interval of each agent is strictly positive, and the effectiveness of the event-triggered protocol is verified by simulation experiments.

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