Titlebook: Explicit Nonlinear Model Predictive Control; Theory and Applicati Alexandra Grancharova,Tor Arne Johansen Book 2012 Springer-Verlag GmbH Be

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Book 2012 problem formulations:.Ø  .Nonlinear .systems described by first-principles models and .nonlinear .systems described by black-box models;.-  .Nonlinear .systems with continuous control inputs and .nonlinear .systems with quantized control inputs;.-  .Nonlinear .systems without uncertainty and .nonli

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Multi-parametric Programming,ral multi-parametric nonlinear programming (mp-NLP) problem is formulated and the Karush-Kuhn-Tucker (KKT) optimality conditions are presented. Then, the three main groups of methods to find a local minimum of a NLP problem for a given parameter vector are reviewed (Newton-type methods, penalty func

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Explicit NMPC via Approximate mp-NLP, Programming (mp-NLP) approaches, described in Section 1.1. It is organized as follows. In Section 4.2, general regulation and reference tracking NMPC problems are formulated and represented as an mp-NLP problem. In Section 4.3, it is shown that bounding the approximation error of the approximate ex

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