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Finite Horizon Density Steering for Multi-input State Feedback Linearizable Systems

Published 27 Sep 2019 in math.OC, cs.SY, and eess.SY | (1909.12511v2)

Abstract: In this paper, we study the feedback synthesis problem for steering the joint state density or ensemble subject to multi-input state feedback linearizable dynamics. This problem is of interest to many practical applications including that of dynamically shaping a robotic swarm. Our results here show that it is possible to exploit the structural nonlinearities to derive the feedback controllers steering the joint density from a prescribed shape to another while minimizing the expected control effort to do so. The developments herein build on our previous work, and extend the theory of the Schr\"{o}dinger bridge problem subject to feedback linearizable dynamics.

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