Fr. 256.00

Quantitative Feedback Theory - Fundamentals and Applications, Second Edition

English · Hardback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

Read more

Informationen zum Autor Houpis! Constantine H.; Rasmussen! Steven J.; Garcia-Sanz! Mario Klappentext Features chapters on Quantitative Feedback Theory (QFT) design of non-diagonal compensators and QFT design techniques. This book offers information on time delay systems with uncertainty! MIMO QFT control design using weighting matrices and control authority allocation. It is suitable for practicing engineers. Zusammenfassung Features chapters on Quantitative Feedback Theory (QFT) design of non-diagonal compensators and QFT design techniques. This book offers information on time delay systems with uncertainty, MIMO QFT control design using weighting matrices and control authority allocation. It is suitable for practicing engineers. Inhaltsverzeichnis 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.

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.