Networked Multisensor Decision Estimation by Zhu Yunmin (10 results)

Hardcover. Condition: new. Hardcover. Due to the increased capability, reliability, robustness, and survivability of systems with multiple distributed sensors, multi-source information fusion has become a crucial technique in a growing number of areasincluding sensor networks, space technology, air traffic control, military engineering, agriculture and environmental engineering, and industrial control. Networked Multisensor Decision and Estimation Fusion: Based on Advanced Mathematical Methods presents advanced mathematical descriptions and methods to help readers achieve more thorough results under more general conditions than what has been possible with previous results in the existing literature. Examining emerging real-world problems, this book summarizes recent research developments in problems with unideal and uncertain frameworks. It presents essential mathematical descriptions and methods for multisensory decision and estimation fusion. Deriving thorough results under general conditions, this reference book: Corrects several popular but incorrect results in this area with thorough mathematical ideasProvides advanced mathematical methods, which lead to more general and significant resultsPresents updated systematic developments in both multisensor decision and estimation fusion, which cannot be seen in other existing booksIncludes numerous computer experiments that support every theoretical resultThe book applies recently developed convex optimization theory and high efficient algorithms in estimation fusion, which opens a very attractive research subject on minimizing Euclidean error estimation for uncertain dynamic systems. Supplying powerful and advanced mathematical treatment of the fundamental problems, it will help to greatly broaden prospective applications of such developments in practice. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Num Pages: 437 pages, 79 black & white illustrations, 18 black & white tables. BIC Classification: THRB. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 238 x 157 x 29. Weight in Grams: 748. . 2012. 1st Edition. Hardcover. . . . .

Gebunden. Condition: New.

Condition: New. pp. 437 1st Edition.

Hardcover. Condition: Brand New. 1st edition. 352 pages. 9.33x6.42x1.14 inches. In Stock.

Condition: New. Num Pages: 437 pages, 79 black & white illustrations, 18 black & white tables. BIC Classification: THRB. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 238 x 157 x 29. Weight in Grams: 748. . 2012. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condition: new. Hardcover. Due to the increased capability, reliability, robustness, and survivability of systems with multiple distributed sensors, multi-source information fusion has become a crucial technique in a growing number of areasincluding sensor networks, space technology, air traffic control, military engineering, agriculture and environmental engineering, and industrial control. Networked Multisensor Decision and Estimation Fusion: Based on Advanced Mathematical Methods presents advanced mathematical descriptions and methods to help readers achieve more thorough results under more general conditions than what has been possible with previous results in the existing literature. Examining emerging real-world problems, this book summarizes recent research developments in problems with unideal and uncertain frameworks. It presents essential mathematical descriptions and methods for multisensory decision and estimation fusion. Deriving thorough results under general conditions, this reference book: Corrects several popular but incorrect results in this area with thorough mathematical ideasProvides advanced mathematical methods, which lead to more general and significant resultsPresents updated systematic developments in both multisensor decision and estimation fusion, which cannot be seen in other existing booksIncludes numerous computer experiments that support every theoretical resultThe book applies recently developed convex optimization theory and high efficient algorithms in estimation fusion, which opens a very attractive research subject on minimizing Euclidean error estimation for uncertain dynamic systems. Supplying powerful and advanced mathematical treatment of the fundamental problems, it will help to greatly broaden prospective applications of such developments in practice. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: New. Print on Demand pp. 437 2 page color insert follows page 204 This item is printed on demand.

Condition: New. PRINT ON DEMAND pp. 437.