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صفحه اصلی
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هشتمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون
Consensus Tracking of Multi-Agent Systems in The Presence of Byzantine Agents Using Model Predictive Control
نویسندگان :
Mohammad amin Rezaei
1
Peyman Bagheri
2
Farzad Hashem zadeh
3
1- دانشگاه تبریز
2- دانشگاه تبریز
3- دانشگاه تبریز
کلمات کلیدی :
Byzantine agent, Consensus Tracking, Model Predictive Control, Multi-Agent Systems, W-MSR Algorithm
چکیده :
This paper deals with the consensus tracking of multi-agent systems in the presence of some Byzantine agents. Steering the agents toward a predefined reference via model predictive control and, besides, encountering the misbehaving agents, are the main aims of the paper. Using graph properties alongside the Weighted-Mean-Subsequence-Reduced (W-MSR) algorithm led to a control method for special kinds of multi-agent systems. Combining model predictive control with W-MSR results in a new algorithm called Reference-Based-W-MSR (RBW-MSR), which has made the consensus point fixed according to a predetermined reference. The effectiveness of the proposed algorithm would be illustrated via simulation results in which different scenarios have been examined to exhibit the success of the method.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.5