Abstract

In this paper we consider the development of moving time horizon strategies where optimal controller moves are determined from a model linearized about a nominal trajectory, and only the first step is implemented. In a nonlinear analogy to Quadratic Dynamic Matrix Control (QDMC), this approach solves a single quadratic program (QP) over the time horizon and easily incorporates bounds on control inputs and outputs.

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