{
"item_title" : "Fuzzy Controller Design",
"item_author" : [" Zdenko Kovacic", "Stjepan Bogdan "],
"item_description" : "Reflecting the authors' broad experience in fuzzy control, this book describes the basic concepts for solving a great number of practical control problems. It focuses on hybrid, adaptive, and self-learning fuzzy control schemes that have proved to be superior in solving demanding nonlinear control problems. Every control algorithm described has been tested and verified on either a laboratory or industry process setup. The worked-out examples can form reliable starting points for the solution of other similar control problems. The book covers general topics in an easily understandable style and uses a case-by-case, method-by-method manner to move toward more complex nonlinear control problems.",
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Overview
Reflecting the authors' broad experience in fuzzy control, this book describes the basic concepts for solving a great number of practical control problems. It focuses on hybrid, adaptive, and self-learning fuzzy control schemes that have proved to be superior in solving demanding nonlinear control problems. Every control algorithm described has been tested and verified on either a laboratory or industry process setup. The worked-out examples can form reliable starting points for the solution of other similar control problems. The book covers general topics in an easily understandable style and uses a case-by-case, method-by-method manner to move toward more complex nonlinear control problems.
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Details
- ISBN-13: 9780849337475
- ISBN-10: 084933747X
- Publisher: CRC Press
- Publish Date: December 2005
- Dimensions: 9.3 x 6.44 x 1.07 inches
- Shipping Weight: 1.51 pounds
- Page Count: 416
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