Dynamic Modeling Predictive Control by Huang Biao (17 results)
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 c…alculation 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' approach in the sense that no traditional parametric models are used; hence, the intermediate subspace matrices, which are obtained from the process data and otherwise identified as a first step in the subspace identification methods, are used directly for the designs. Without using an explicit model, the design procedure is simplified and the modelling error caused by parameterization is eliminated.
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paperback. Condition: New. Language:Chinese.Pub Date: 2015-01-01 Pages: 267 Publisher: Machinery Industry Press in the current energy market. high-temperature solid oxide fuel cell (SOFC) is considered one of the main competitors of fuel cell technology. However. in order to operate as a high efficiency power generation system.…SOFC requires an appropriate control system further requires a detailed dynamic modeling process. To be able to discuss the most advanced dynamic modeling. estimation and control of SOFC systems.
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides the reader with control design methods derived directly from process dataSimplifies control design and avoids the modelling errors consequent on parameterizationBiao Huang is a profes…sor and researcher in the area of subspace i.
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Condition: New. Print on Demand pp. 268 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Condition: New. PRINT ON DEMAND pp. 268.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 cont…rol 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¿ approach in the sense that no traditional parametric models are used; hence, the intermediate subspace matrices, which are obtained from the process data and otherwise identified as a first step in the subspace identification methods, are used directly for the designs. Without using an explicit model, the design procedure is simplified and the modelling error caused by parameterization is eliminated.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 268 pp. Englisch.
