The unexpected empirical consensus among consensus methods.

A Survey of Social Factors Influencing Social Consensus(Case Study: Bushehr Civic Families)

The aim of this research is to study social factors influencing on social consensus. Sampling method was multi-process and included cluster and multistage sampling and sample size based on Cochran's Formula was 380 persons too. Data collection tools was questionnaire. In this research, the methods of data analysis were independent T-Test, Spearman Correlation Coefficient, Multivariate Regressio...

Surveying Effective Factors on 'Sense of Unity' among Elites in the Cultural Field (Case Study of Seminary Schools and Universities)

Entropy-based Consensus for Distributed Data Clustering

The increasingly larger scale of available data and the more restrictive concerns on their privacy are some of the challenging aspects of data mining today. In this paper, Entropy-based Consensus on Cluster Centers (EC3) is introduced for clustering in distributed systems with a consideration for confidentiality of data; i.e. it is the negotiations among local cluster centers that are used in t...

Output Consensus Control of Nonlinear Non-minimum Phase Multi-agent Systems Using Output Redefinition Method

This paper concerns the problem of output consensus in nonlinear non-minimum phase systems. The main contribution of the paper is to guarantee achieving consensus in the presence of unstable zero dynamics. To achieve this goal, an output redefinition method is proposed. The new outputs of agents are functions of original outputs and internal states and defined such that the dynamics of agents a...

Optimal adaptive leader-follower consensus of linear multi-agent systems: Known and unknown dynamics

In this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. The error dynamics of each player depends on its neighbors’ information. Detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. The introduced reinforcement learning-based algorithms learn online the approximate solution...