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Distributed receding horizon control for multi-vehicle formation stabilization William B. Dunbar, University of California, Santa Cruz R M. Murray
ABSTRACT: We consider the control of interacting subsystems whose dynamics and
constraints are decoupled, but whose state vectors are coupled nonseparably in
a single cost function of a finite horizon optimal control problem. For a given
cost structure, we generate distributed optimal control problems for each
subsystem and establish that a distributed receding horizon control
implementation is stabilizing to a neighborhood of the objective state. The
implementation requires synchronous updates and the exchange of the most recent
optimal control trajectory between coupled subsystems prior to each update. The
key requirements for stability are that each subsystem not deviate too far from
the previous open-loop state trajectory, and that the receding horizon updates
happen sufficiently fast. The venue of multi-vehicle formation stabilization is
used to demonstrate the distributed implementation. (c) 2006 Elsevier Ltd. All
rights reserved.
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