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发表于 2013-9-25 22:43:05
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封面: |
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题名: |
Tensor Product Model Transformation in Polytopic Model-Based Control |
作者: |
Péter Baranyi (Author), Yeung Yam (Author), Péter Várlaki (Author) |
出版社: |
CRC Press |
出版日期: |
August 19, 2013 |
ISBN: |
978-1439818169 |
附属页: |
齐全 |
书签: |
有 |
格式: |
图版PDF |
内容简介: |
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求助帖链接: |
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Tensor Product Model Transformation in Polytopic Model-Based Control offers a new perspective of control system design. Instead of relying solely on the formulation of more effective LMIs, which is the widely adopted approach in existing LMI-related studies, this cutting-edge book calls for a systematic modification and reshaping of the polytopic convex hull to achieve enhanced performance. Varying the convexity of the resulting TP canonical form is a key new feature of the approach. The book concentrates on reducing analytical derivations in the design process, echoing the recent paradigm shift on the acceptance of numerical solution as a valid form of output to control system problems. The salient features of the book include:
Presents a new HOSVD-based canonical representation for (qLPV) models that enables trade-offs between approximation accuracy and computation complexity
Supports a conceptually new control design methodology by proposing TP model transformation that offers a straightforward way of manipulating different types of convexity to appear in polytopic representation
Introduces a numerical transformation that has the advantage of readily accommodating models described by non-conventional modeling and identification approaches, such as neural networks and fuzzy rules
Presents a number of practical examples to demonstrate the application of the approach to generate control system design for complex (qLPV) systems and multiple control objectives.
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