2018
DOI: 10.1155/2018/4573631
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Intelligent Controllers for Multirobot Competitive and Dynamic Tracking

Abstract: This paper focuses on the problem of target tracking using k fittest robots in a group of n mobile robots with n>k. We present centralized and distributed coordination models with all-to-all and limited communications, respectively. For the case of all-to-all communication between robots, theoretical analysis is presented to prove the exponential stability of the whole system. In real applications of robotic networks, a robot may only be allowed to exchange information with a limited number of neighbors. In… Show more

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Cited by 7 publications
(5 citation statements)
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“…It can also be easily adjusted to different scenarios, like grids with obstacles, or labyrinth-like environments. Also, this chaotic path planning technique can be potentially applied to robots with different moving capabilities [59][60][61] and can also be combined with other advanced techniques, like the inverse pheromone approach [46,56], multiagent and swarm robotics [62,63], and more [64][65][66].…”
Section: I(i) �mentioning
confidence: 99%
“…It can also be easily adjusted to different scenarios, like grids with obstacles, or labyrinth-like environments. Also, this chaotic path planning technique can be potentially applied to robots with different moving capabilities [59][60][61] and can also be combined with other advanced techniques, like the inverse pheromone approach [46,56], multiagent and swarm robotics [62,63], and more [64][65][66].…”
Section: I(i) �mentioning
confidence: 99%
“…Neural Networks (NNs) have attracted great attention in recent decades owing to their extensive application in many different fields, such as optimization and signal processing [1][2][3][4][5], pattern recognition [6][7][8][9][10], parallel computing [11][12][13][14][15], and so forth. In the implementation of such applications, the phenomenon of time-varying delays (TDs) is inevitably encountered due to the inherent communication time among neurons, the finite switching speed of the amplifier [16][17][18][19], and other reasons.…”
Section: Introductionmentioning
confidence: 99%
“…It is well known that control theory is an interdisciplinary subject involving economics, engineering and mathematics, which investigates and analyses some dynamical behaviors of various systems [26][27][28][29][30][31][32]. It is worth noting that controllability is of importance in some research fields of networks such as logical control networks, and steady-state design of large-dimensional Boolean networks.…”
Section: Introductionmentioning
confidence: 99%