: Analysis and Synthesis of Positive Systems Under ℓ₁ and L₁ Performance
Language: English
Published by Springer Singapore, Singapore, 2018
- Softcover
- Used
Seller: Center for Evidence-Based Programming, Hot Springs National Park, AR, U.S.A.Center for Evidence-Based Programming
AbeBooks seller since August 27, 2026
Condition: Used - Near fine
US$ 72.95
Quantity: 1 available
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Content Description. This is a specialized engineering/control-systems monograph based on Chen's doctoral thesis at the University of Hong Kong. It deals with analysis and synthesis of positive systems under ℓ₁ and L₁ performance, including stability analysis, controller synthesis, state-bounding observers, filtering, linear-programming approaches, and positive Takagi-Sugeno fuzzy systems. The original thesis was accepted by the University of Hong Kong in 2014. HKU Scholars Hub Condition Description. Near Fine. Acquired as new overstock from a bookseller specializing in scholarly and academic titles. Appears unread, with a clean, tight, unmarked interior. Clean, bright copy with tight binding and crisp, clean pages. Covers show only very light shelf/handling wear, including slight rubbing/bumping at corners and spine ends. No writing, highlighting, or markings observed. An exceptionally clean copy.
Seller Inventory # CEBP - 050
- Title
- : Analysis and Synthesis of Positive Systems Under ℓ₁ and L₁ Performance
- Author
- Xiaoming Chen
- Publisher
- Springer Singapore, Singapore
- Publication year
- 2018
- Condition
- Near fine
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 9811095663
- ISBN 13
- 9789811095665
- Item weight
- 0.5 pounds
- Dimensions
- 6.1 inches width by 9.2 inches height by 0.4 inches depth
- Series
- Book 163 of 797: Springer Theses
This thesis introduces novel and significant results regarding the analysis and synthesis of positive systems, especially under l1 and L1 performance. It describes stability analysis, controller synthesis, and bounding positivity-preserving observer and filtering design for a variety of both discrete and continuous positive systems.
It subsequently derives computationally efficient solutions based on linear programming in terms of matrix inequalities, as well as a number of analytical solutions obtained for special cases. The thesis applies a range of novel approaches and fundamental techniques to the further study of positive systems, thus contributing significantly to the theory of positive systems, a “hot topic” in the field of control.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This thesis introduces novel and significant results regarding the analysis and synthesis of positive systems, especially under l1 and L1 performance. It describes stability analysis, controller synthesis, and bounding positivity-preserving observer and filtering design for a variety of both discrete and continuous positive systems.
It subsequently derives computationally efficient solutions based on linear programming in terms of matrix inequalities, as well as a number of analytical solutions obtained for special cases. The thesis applies a range of novel approaches and fundamental techniques to the further study of positive systems, thus contributing significantly to the theory of positive systems, a “hot topic” in the field of control.
"About the title" may belong to another edition of this title.
Center for Evidence-Based Programming
Hot Springs National Park, AR, U.S.A.
AbeBooks seller since August 27, 2026
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Center for Evidence-Based Programming
AR, U.S.A.