A Dynamic Gain Approach to Consensus Control of Nonlinear Multiagent Systems With Time Delays

2020 ◽  
pp. 1-9
Author(s):  
Hanfeng Li ◽  
Chenghui Zhang ◽  
Shuai Liu ◽  
Xianfu Zhang
Keyword(s):  
Multiagent Systems ◽  
Time Delays ◽  
Consensus Control ◽  
Dynamic Gain

scholarly journals Consensus of Delayed Fractional-Order Multiagent Systems Based on State-Derivative Feedback

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Jun Liu ◽  
Kaiyu Qin ◽  
Wei Chen ◽  
Ping Li
Keyword(s):  
Graph Theory ◽  
Multiagent Systems ◽  
Fractional Order ◽  
Time Delays ◽  
Multiagent System ◽  
Frequency Domain Analysis ◽  
Consensus Control ◽  
Control Protocol ◽  
Analysis Theory ◽  
Theoretical Results

A state-derivative feedback (SDF) is added into the designed control protocol in the existing paper to enhance the robustness of a fractional-order multiagent system (FMS) against nonuniform time delays in this paper. By applying the graph theory and the frequency-domain analysis theory, consensus conditions are derived to make the delayed FMS based on state-derivative feedback reach consensus. Compared with the consensus control protocol designed in the existing paper, the proposed SDF control protocol with nonuniform time delays can make the FMS with SDF and nonuniform time delays tolerate longer time delays, which means that the convergence speed of states of the delayed FMS with SDF is accelerated indirectly. Finally, the corresponding results of simulation are given to verify the feasibility of our theoretical results.

scholarly journals Consensus Control of Nonlinear Multiagent Systems with Incremental Quadratic Constraints and Time Delays

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Dachao Wang ◽  
Fang Song ◽  
Wei Zhang ◽  
Zhi Hu
Keyword(s):  
Multiagent Systems ◽  
Time Delays ◽  
Schur Complement ◽  
Linearization Method ◽  
Functional Method ◽  
Consensus Protocol ◽  
Consensus Control ◽  
Quadratic Constraints ◽  
Special Cases ◽  
Strongly Connected

This paper considers the problem of consensus control for a class of nonlinear multiagent systems with incremental quadratic constraints and time delays. Each agent exchanges state information through a strongly connected communication topology. Based on the information obtained from neighboring agents, a distributed consensus protocol is designed. A delay-independent consensus condition is formed for the protocol to solve the consensus problem by employing Lyapunov–Krasovskii functional method. In order to deal with the nonlinear terms in matrix inequalities, an iterative algorithm is proposed by using the Schur complement lemma and the cone complementary linearization method. The nonlinearities under consideration are more general than many other nonlinearities considered in related literature studies since the incremental quadratic constraints include many other known nonlinearities as some special cases. Finally, we give a numerical example to illustrate the effectiveness of the proposed consensus control protocol.

scholarly journals Event-Triggered Consensus Control for Leader-Following Multiagent Systems Using Output Feedback

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Yang Liu ◽  
Xiaohui Hou
Keyword(s):  
Multiagent Systems ◽  
Output Feedback ◽  
Output Signal ◽  
Internal State ◽  
Disturbance Attenuation ◽  
External Disturbances ◽  
Consensus Control ◽  
State Information ◽  
Leader Following ◽  
Event Triggered

The event-triggered consensus control for leader-following multiagent systems subjected to external disturbances is investigated, by using the output feedback. In particular, a novel distributed event-triggered protocol is proposed by adopting dynamic observers to estimate the internal state information based on the measurable output signal. It is shown that under the developed observer-based event-triggered protocol, multiple agents will reach consensus with the desired disturbance attenuation ability and meanwhile exhibit no Zeno behaviors. Finally, a simulation is presented to verify the obtained results.

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