In this paper, the consensus problem of noise perturbed multi-agents following leader with stochastic switching topology is investigated. The stochastic switching topology is dependent on a continuous time Markovian process. Based on Lyapunov stability theory and generalized Itô formula, the sufficient condition is given to guarantee the mean square consensus of all the agents following the vir...

a second-order leader-following consensus algorithm in multi-agent systems with directed network topologies and heterogeneous input delays, which generalized the previous work [1] from the case of symmetric coupling weights to that of asymmetric coupling weights. Some sufficient conditions for reaching second-order consensus in a leader-following context were derived by utilizing the Gershgorin...

In this paper, the exponential leader-following consensus problem is investigated for a class of nonlinear stochastic networked multi-agent systems with partial mixed impulses and unknown time-varying but bounded delays. The main feature of partial mixed impulses is that time-varying impulses are not only composed of synchronizing and desynchronizing impulses simultaneously but they are also in...

Broad topic of leadership study has been narrowed down in this study to leadership among adolescents in school setting. The current paper focuses on important characteristics possessed by student which makes them leader and qualities of ideal student leader. Students were asked to list any 5 qualities that they expect their class leader to have and checklist of 47 characteristics was provided t...

This paper aims to investigate a new and intricate behavior of immediate follower during the lane change of leader vehicle. Accordingly, the mentioned situation is a transient state in car following behavior during which the follower vehicle considerably deviates from conventional car following models for a limited time, which is a complex state including lateral and longitudinal movement simul...

This paper develops a multisensor data fusion-based deep learning algorithm to locate and classify faults in leader-following multiagent system. First, sequences of one-dimensional collected from multiple sensors followers are fused into two-dimensional image. Then, the image is employed train convolution neural network with batch normalisation layer. The trained can three typical fault types: ...

Service robotics is a rapidly growing area of interest in robotics research. Service robots inhabit human-populated environments and carry out specific tasks. The goal of this dissertation is to develop a service robot capable of following a human leader around populated indoor environments. A classification system for person followers is proposed such that it clearly defines the expected inter...