scholarly journals Guaranteed cost consensus protocol design for linear multi-agent systems with sampled-data information: An input delay approach

2017 ◽  
Vol 67 ◽  
pp. 87-97 ◽  
Author(s):  
Yadong Zhao ◽  
Weidong Zhang
Keyword(s):  
Protocol Design ◽  
Input Delay ◽  
Sampled Data ◽  
Multi Agent Systems ◽  
Consensus Protocol ◽  
Agent Systems ◽  
Guaranteed Cost ◽  
Multi Agent

Consensus Protocol Design for Leader-Following Multi-Agent Systems With Stochastic Sampling Information

2020 ◽  
Vol 143 (2) ◽  
Author(s):  
K. Subramanian ◽  
P. Muthukumar
Keyword(s):  
Sufficient Conditions ◽  
Protocol Design ◽  
Sampled Data ◽  
Multi Agent Systems ◽  
Consensus Protocol ◽  
Stochastic Sampling ◽  
Agent Systems ◽  
Data Control ◽  
Leader Following ◽  
Multi Agent

Abstract This paper studies a consensus protocol design for leader-following multi-agent systems (MASs) via stochastic sampling information. Unlike traditional sampled-data control, this paper is focused on the stochastically varying sample intervals with a given probability by the Bernoulli distribution. Based on the Lyapunov–Krasovskii functional and reciprocally convex technique, the sufficient conditions are derived for the stochastic sampled-data protocol design of the error system, which guarantees that the following agent's states can reach an agreement on the leader's state. Finally, the numerical examples are provided to demonstrate the effectiveness of the developed theoretical results.

A new framework of consensus protocol design for complex multi-agent systems

2011 ◽  
Vol 60 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Shaobao Li ◽  
Juan Wang ◽  
Xiaoyuan Luo ◽  
Xinping Guan
Keyword(s):  
Protocol Design ◽  
Multi Agent Systems ◽  
Consensus Protocol ◽  
Agent Systems ◽  
Multi Agent ◽  
New Framework

scholarly journals Guaranteed Cost Leaderless Consensus Protocol Design for Fractional-Order Uncertain Multi-Agent Systems with State and Input Delays

2021 ◽  
Vol 5 (4) ◽  
pp. 141
Author(s):  
Yingming Tian ◽  
Qin Xia ◽  
Yi Chai ◽  
Liping Chen ◽  
António M. Lopes ◽  
...  
Keyword(s):  
Fractional Order ◽  
Linear Matrix ◽  
Multi Agent Systems ◽  
Consensus Protocol ◽  
Razumikhin Theorem ◽  
Agent Systems ◽  
Guaranteed Cost ◽  
Multi Agent ◽  
State And Input Delays ◽  
Input Delays

This paper addresses the guaranteed cost leaderless consensus of delayed fractional-order (FO) multi-agent systems (FOMASs) with nonlinearities and uncertainties. A guaranteed cost function for FOMAS is proposed to simultaneously consider consensus performance and energy consumption. By employing the linear matrix inequality approach and the FO Razumikhin theorem, a delay-dependent and order-dependent consensus protocol is formulated for FOMASs with input delay. The proposed protocol not only guarantees the robust stability of the closed-loop system error but also ensures that the performance degradation caused by the system uncertainty is lesser than that obtained with other approaches. Two numerical examples are provided in order to verify the effectiveness and accuracy of the proposed protocol.

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