Adaptive Fuzzy Leader-Following Consensus Control for Stochastic Multiagent Systems with Heterogeneous Nonlinear Dynamics

2017 ◽  
Vol 25 (1) ◽  
pp. 181-190 ◽  
Author(s):  
Chang-E Ren ◽  
Long Chen ◽  
C. L. Philip Chen
Keyword(s):  
Nonlinear Dynamics ◽  
Multiagent Systems ◽  
Consensus Control ◽  
Adaptive Fuzzy ◽  
Leader Following

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.

Event-Based Secure Leader-Following Consensus Control for Multiagent Systems With Multiple Cyber Attacks

2021 ◽  
Vol 51 (1) ◽  
pp. 162-173 ◽  
Author(s):  
Jinliang Liu ◽  
Tingting Yin ◽  
Dong Yue ◽  
Hamid Reza Karimi ◽  
Jinde Cao
Keyword(s):  
Multiagent Systems ◽  
Cyber Attacks ◽  
Consensus Control ◽  
Leader Following ◽  
Event Based

scholarly journals Consensus Control of Multiagent Systems with High-Order Nonlinear Inaccurate Dynamics and Dynamically Switching Undirected Topologies

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Qiang Wang ◽  
Qingtian Meng ◽  
Xiaonan Fang ◽  
Huaxiang Zhang
Keyword(s):  
Nonlinear Dynamics ◽  
Multiagent Systems ◽  
Directed Graph ◽  
Feedback Linearization ◽  
Sliding Mode ◽  
High Order ◽  
The Other ◽  
Consensus Control ◽  
Control Protocols ◽  
The One

This paper investigates the consensus control of a class of high-order nonlinear multiagent systems, whose topology is dynamically switching directed graph. First, the high-order nonlinear dynamics is transformed into the one-order dynamics by structuring a sliding mode plane; then, two consensus control protocols of the one-order dynamics are designed by feedback linearization, one of which is based on PD (proportion and derivative) and the other is based on PID (proportion, integral and derivative). Under these control protocols, it is proved that the consensus of new variable only requires a weaker topology condition; next, we prove that the consensus of the new variable is sufficient to the consensus of the states of multiagent systems, which implies that it only requires a weaker topology condition for the consensus of multiagent systems; finally, the study of an illustrative example with simulations shows that our results as well as designed control protocols work very well in studying the consensus of this class of multiagent systems.

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