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Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution
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Quantitative Feedback Theory - Fundamentals and Applications, Second Edition (Paperback, 2nd edition)
Loot Price: R1,885
Discovery Miles 18 850
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Quantitative Feedback Theory - Fundamentals and Applications, Second Edition (Paperback, 2nd edition)
Expected to ship within 12 - 17 working days
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The first edition of Quantitative Feedback Theory gained enormous
popularity by successfully bridging the gap between theory and
real-world engineering practice. Avoiding mathematical theorems,
lemmas, proofs, and correlaries, it boiled down to the essential
elements of quantitative feedback theory (QFT) necessary to readily
analyze, develop, and implement robust control systems. Thoroughly
updated and expanded, Quantitative Feedback Theory: Fundamentals
and Applications, Second Edition continues to provide a platform
for intelligent decision making and design based on knowledge of
the characteristics and operating scenario of the plant. Beginning
with the fundamentals, the authors build a background in analog and
discrete-time multiple-input-single-output (MISO) and
multiple-input-multiple-output (MIMO) feedback control systems
along with the fundamentals of the QFT technique. The remainder of
the book links these concepts to practical applications. Among the
many enhancements to this edition are a new section on large wind
turbine control system, four new chapters, and five new appendices.
The new chapters cover non-diagonal compensator design for MIMO
systems, QFT design involving Smith predictors for time delay
systems with uncertainty, weighting matrices and control authority,
and QFT design techniques applied to real-world industrial systems.
Quantitative Feedback Theory: Fundamentals and Applications, Second
Edition includes new and revised examples and end-of-chapter
problems and offers a companion CD that supplies MIMO QFT
computer-aided design (CAD) software. It is the perfect guide to
effectively and intuitively implementing QFT control.
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