This up-to-date text/reference thoroughly investigates the interface between the technical literature's theoretical results and the problems that practicing engineers face-and engineering students will face-every day on the job. The treatment avoids theorems, corollaries, theoretical lemmas, and other abstruse mathematical devices, while demonstrating the extensive applications of Quantitative Feedback Theory (QFT) and successfully bridging the gap between theory and practice. Analyzes the control system design cycle, employing a flexible methodology for problem solving at all stages of the design process Presenting a powerful robust multivariable control system design, Quantitative Feedback Theory discusses multiple-input/single-output (MISO) and multiple-input/multiple-output (MIMO) analog and digital control systems involving structured parametric uncertainty implements QFT performance tolerances covers equilibrium and trade-offs, high-frequency and stability analyses, and simplification of the single-loop structure explains diagonal dominance and associated applications of the Binet-Cauchy theorem and the state-space equations presents the concept of sensitivity analysis, as well as models for tracking systems and external disturbance rejection investigating frequency domain analysis for both linear and nonlinear systems evaluates analog and sampled-data (discrete time) feedback control systems and more Containing over 500 equations, useful appendices with case studies, ample end-of-chapter problems, and a comprehensive glossary of QFT symbols and terminology, Quantitative Feedback Theory is an indispensable reference for electrical, electronics, mechanical, chemical, astronautical, and aeronautical engineers, and an ideal text for upper-level undergraduate and graduate students in these disciplines.