Abstract
Trust region concepts originating from nonlinear programming are applied to the nonlinear Newton-type control framework. This extension is well suited to deal with the ill-conditioning of the predictive equations and is also able to provide a significant acceleration in the rate of convergence of the original algorithm. The approach is illustrated by application to a number of challenging process examples, including open loop instabilities, sign changes in the process gains, and input multiplicities.
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