Title :
Styled-Velocity Flocking of Autonomous Vehicles: A Systematic Design
Author :
Thanh-Trung Han ; Shuzhi Sam Ge
Author_Institution :
Sch. of Autom. Eng., & Centre for Robot., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
Abstract :
This paper develops a measure-theoretic approach for generating the collective behavior of flocking of planar autonomous vehicles under all-to-all communication scheme. To obtain flocking protocol, we formulate the notion of state of styled-velocity flocking for the target state of a design problem instead of considering solution-ansatzes. This notion captures a broader class of flocking behaviors of non-parallel motions, as well as embodies the two important performances of cohesion maintenance and collision avoidance. To pose a control design problem, a measure-valued transition equation is obtained to induce an auxiliary one-body continuum-model from the exact multi-body particle-model of the collective system. The design problem is then formulated on the auxiliary continuum-model, and a systematic design procedure is presented. The state of styled-velocity flocking of the particle-model under the obtained flocking protocol is then verified with an important result on the continuous dependence on initial data of solutions of the measured-valued transition equation. Application to elliptical flocking of mobile robots is presented to illustrate the novelty of the presented theory.
Keywords :
collision avoidance; control system synthesis; cooperative systems; mobile robots; multi-robot systems; all-to-all communication scheme; cohesion maintenance; collision avoidance; control design problem; elliptical flocking; flocking protocol; measure-theoretic approach; measure-valued transition equation; measured-valued transition equation; mobile robots; multibody particle-model; nonparallel motion flocking behaviors; one-body continuum-model; planar autonomous vehicle flocking; styled-velocity flocking; systematic design procedure; Atmospheric measurements; Equations; Mathematical model; Particle measurements; Protocols; Trajectory; Vehicles; Cooperative control; mean-field approach;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2015.2400664