Quantitative Feedback Theory

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. CD ROM content is now a downloadable resource available at www.routledge.com/9780849333705.

Houpis, Constantine H.; Rasmussen, Steven J.; Garcia-Sanz, Mario

QFT Standard Symbols & Terminology. Introduction. Introduction to QFT. The MISO Analog Control System. Discrete Quantitative Feedback Technique. Multiple-Input Multiple-Output (MIMO) Plants: Structured Plant Parameter Uncertainty. Design Method 1: The Single-Loop (MISO) Equivalents. MIMO System Design Method 2: Modified Single-Loop Equivalents. MIMO System with External Disturbance Inputs. Now the "Practicing Engineer Takes Over". Quantitative Non-Diagonal Compensator Design for MIMO Systems. The Design and Implementation Process for a Robust Control System. Time Delay Systems with Uncertainty: QFT Design Involving Smith Predictor. QFT Design Techniques Applied to Real-World Industrial Systems. Weighting Matrices and Control Authority. Appendices. References. Problems. Answers to Selected Problems. Index.