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Dynamic Modeling, Predictive Control and Performance Monitoring: A Data-driven Subspace Approach (Lecture Notes in Control and Information Sciences)
Biao Huang
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Description for Dynamic Modeling, Predictive Control and Performance Monitoring: A Data-driven Subspace Approach (Lecture Notes in Control and Information Sciences)
Paperback. The authors provide a "data-driven" approach. No traditional parametric models are used: the intermediate subspace matrices are used directly for the designs. Thus the design process is simplified and the modelling error caused by parameterization is cut out. Series: Lecture Notes in Control and Information Sciences. Num Pages: 266 pages, 63 black & white illustrations, 4 black & white tables, biography. BIC Classification: TJFM. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 14. Weight in Grams: 840.
A typical design procedure for model predictive control or control performance monitoring consists of: 1. identification of a parametric or nonparametric model; 2. derivation of the output predictor from the model; 3. design of the control law or calculation of performance indices according to the predictor. Both design problems need an explicit model form and both require this three-step design procedure. Can this design procedure be simplified? Can an explicit model be avoided? With these questions in mind, the authors eliminate the first and second step of the above design procedure, a data-driven ... Read more
A typical design procedure for model predictive control or control performance monitoring consists of: 1. identification of a parametric or nonparametric model; 2. derivation of the output predictor from the model; 3. design of the control law or calculation of performance indices according to the predictor. Both design problems need an explicit model form and both require this three-step design procedure. Can this design procedure be simplified? Can an explicit model be avoided? With these questions in mind, the authors eliminate the first and second step of the above design procedure, a data-driven ... Read more
Product Details
Publisher
Springer
Format
Paperback
Publication date
2008
Series
Lecture Notes in Control and Information Sciences
Condition
New
Weight
839g
Number of Pages
242
Place of Publication
England, United Kingdom
ISBN
9781848002326
SKU
V9781848002326
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Biao Huang
Biao Huang is a professor and researcher in the area of subspace identification, predictive control, and control performance monitoring with 20-years' worth of experience in this field. He has received numerous awards for his contributions in these areas including Germany's Alexander von Humboldt Research Fellowship award, the Canadian Chemical Engineering Society's Syncrude Canada Innovation Award, the University of Alberta's McCalla ... Read more
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