Abstract. Model predictive control (MPC) is a popular controller design technique in the process industry. Conventional MPC uses linear or nonlinear discrete-time models. Recently, we have extended MPC to a class of discrete event systems that can be
Jun 30, 2013 - 2.4.1 Second order RungeâKutta methods . . . . . . . . . . . 38 .... calculator or a computer algebra system to solve some problems numerically ...... The method (2.156) is a two-stage, fourth order implicit RungeâKutta method.
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Numerical Methods for Linear Control Systems Design and Analysis is an interdisciplinary textbook aimed at systematic descriptions and implementations of numerically-viable algorithms based on well-established, efficient and stable modern numerical linear techniques for mathematical problems arising in the design and analysis of linear control systems both for the first- and second-order models. Unique coverage of modern mathematical concepts such as parallel computations, second-order systems, and large-scale solutions Background material in linear algebra, numerical linear algebra, and control theory included in text Step-by-step explanations of the algorithms and examples
Hardcover: Publisher: Language: ISBN-10: ISBN-13: Product Dimensions: Shipping Weight: Average Customer Review: Amazon Best Sellers Rank: Control Systems Linear Robotics & Automation tell us about a lower price suggest updates through seller support
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