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Book Synopsis
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.

Model Predictive Control: Theory, Practices &

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    A Hardback by Corrine Wade

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      Publisher: Nova Science Publishers Inc
      Publication Date: 01/02/2015
      ISBN13: 9781634638593, 978-1634638593
      ISBN10: 163463859X
      Also in:
      Technology, Engineering & Agriculture Mechanical engineering and materials

      Description

      Book Synopsis
      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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