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Application of interior-point methods to model predictive control. (English) Zbl 0973.90092
Summary: We present a structured interior-point method for the efficient solution of the optimal control problem in model predictive control. The cost of this approach is linear in the horizon length, compared with cubic growth for a naive approach. We use a discrete-time Riccati recursion to solve the linear equations efficiently at each iteration of the interior-point method, and show that this recursion is numerically stable. We demonstrate the effectiveness of the approach by applying it to three process control problems.

MSC:
90C46 Optimality conditions and duality in mathematical programming
93B40 Computational methods in systems theory (MSC2010)
Software:
QPSOL
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