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Model+Predictive Control System Design and Implementation Using MATLAB

2009-11-04 上传大小:4.96MB
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Model predictive control (MPC) has a long history in the field of control en-
gineering. It is one of the few areas that has received on-going interest from
researchers in both the industrial and academic communities. Four major as-
pects of model predictive control make the design methodology attractive to
both practitioners and academics. The first aspect is the design formulation,
which uses a completely multivariable system framework where the perfor-
mance parameters of the multivariable control system are related to the engi
                            -
neering aspects of the system; hence, they can be understood and ‘tuned’ by
engineers. The second aspect is the ability of the method to handle both ‘soft’
constraints and hard constraints in a multivariable control framework. This
is particularly attractive to industry where tight profit margins and limits on
the process operation are inevitably present. The third aspect is the ability
to perform on-line process optimization. The fourth aspect is the simplicity
of the design framework in handling all these complex issues.
This book gives an introduction to model predictive control, and recent
developments in design and implementation. Beginning with an overview of
the field, the book will systematically cover topics in receding horizon con-
trol, MPC design formulations, constrained control, Laguerre-function-based
predictive control, predictive control using exponential data weighting, refor-
mulation of classical predictive control, tuning of predictive control, as well
as simulation and implementation using MATLAB and SIMULINK as a platform. Both continuous-time and discrete-time model predictive control is presented in a similar framework.                        
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评论共有8条

我就是我3 2016-09-29 20:11:16
例子简单易懂
dasongshu123 2015-05-03 14:18:17
很好,理论和例子都很到位,非常值得搞预测控制的人学习。
xiaomei216 2015-04-25 10:07:03
不错的教材,我正在搞预测控制,感觉很有用。
 
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