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Opinion dynamics with decentralized proportional–integral control strategy

Lihui Shang and Shan Chen

Physica A: Statistical Mechanics and its Applications, 2019, vol. 533, issue C

Abstract: Opinion dynamics as a special type of complex human behavior has received increasing attention in recent years. From a control-theoretic point of view, the opinion dynamical system can be viewed as a decentralized control system. In this paper, we investigate opinion dynamics of the model in which each agent can adjust its opinion by using an incremental proportional–integral (PI) controller, where the opinion is updated according to the deviation between the average opinion of local neighbors’ and the individual one. Simulation results suggest the strong integral effect can promote the system to achieve consensus easily and reduce the number of subsets fast. In contrast, the proportional effect will impede the convergence of the system and prolong the time required to reach consensus. This observation is robust with different system sizes and provides a new way of thinking about guidance in opinion dynamics.

Keywords: Opinion dynamics; System consensus; PI controller; Bound of confidence (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:533:y:2019:i:c:s0378437119311264

DOI: 10.1016/j.physa.2019.121916

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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