Flocking of Discrete-time Multi-Agent Systems with Predictive Mechanisms
نویسندگان
چکیده
For decades, scientists from various fields have been fascinated by flocking behavior for its wide engineering applications. Inspired by the predictive intelligence of bio-groups, in this paper we design a novel discrete-time model predictive control based flocking protocol, and investigate the role of predictive mechanisms in flocking of multi-agent systems by using mathematical analyses and numerical simulations. Compared with Olfati-Saber flocking algorithm, the newly proposed model predictive control based flocking protocol yields several improvements on the convergence rate, -lattice regularity and the feasible range of the sampling period.
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