Model Predictive Control

Theory, Practices & Future Challenges

By: Corrine Wade (Editor)

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Hardcover | 1 February 2015

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Hardcover
137 Pages

Dimensions(cm)
26 x 18.6 x 1.6

Hardcover

$484.75

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Although industrial processes are inherently nonlinear, many contributions for controller design for those plants are based on the assumption of a linear model of the system. However, in some cases it is difficult to represent a given process using a linear model. Model Predictive Control (MPC) is an optimal control approach which can effectively deal with constraints and multivariable processes in industries. Because of its advantages, MPC has been widely applied in automotive and process control communities. This book discusses the theory, practices and future challenges of model predictive control.

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