Reference:
M.D. Doan,
T. Keviczky, and
B. De Schutter,
"An iterative scheme for distributed model predictive control using
Fenchel's duality," Journal of Process Control, vol. 21, no.
5, pp. 746-755, June 2011.
Abstract:
We present an iterative distributed version of Han's parallel method
for convex optimization that can be used for distributed model
predictive control (DMPC) of industrial processes described by
dynamically coupled linear systems. The underlying decomposition
technique relies on Fenchel's duality and allows subproblems to be
solved using local communications only. We investigate two techniques
aimed at improving the convergence rate of the iterative approach and
illustrate the results using a numerical example. We conclude by
discussing open issues of the proposed method and by providing an
outlook on research in the field.
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