| ## Digital Control Engineering, Second Edition: Analysis and Design |

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## Book Description

Digital controllers are part of nearly all modern personal, industrial, and transportation systems. Every senior or graduate student of electrical, chemical or mechanical engineering should therefore be familiar with the basic theory of digital controllers. This new text covers the fundamental principles and applications of digital control engineering, with emphasis on engineering design.

Fadali and Visioli cover analysis and design of digitally controlled systems and describe applications of digital controls in a wide range of fields. With worked examples and Matlab applications in every chapter and many end-of-chapter assignments, this text provides both theory and practice for those coming to digital control engineering for the first time, whether as a student or practicing engineer.

- Extensive Use of computational tools: Matlab sections at end of each chapter show how to implement concepts from the chapter
- Frees the student from the drudgery of mundane calculations and allows him to consider more subtle aspects of control system analysis and design
- An engineering approach to digital controls: emphasis throughout the book is on design of control systems. Mathematics is used to help explain concepts, but throughout the text discussion is tied to design and implementation. For example coverage of analog controls in chapter 5 is not simply a review, but is used to show how analog control systems map to digital control systems
- Review of Background Material: contains review material to aid understanding of digital control analysis and design. Examples include discussion of discrete-time systems in time domain and frequency domain (reviewed from linear systems course) and root locus design in s-domain and z-domain (reviewed from feedback control course)
- Inclusion of Advanced Topics
- In addition to the basic topics required for a one semester senior/graduate class, the text includes some advanced material to make it suitable for an introductory graduate level class or for two quarters at the senior/graduate level. Examples of optional topics are state-space methods, which may receive brief coverage in a one semester course, and nonlinear discrete-time systems
- Minimal Mathematics Prerequisites
- The mathematics background required for understanding most of the book is based on what can be reasonably expected from the average electrical, chemical or mechanical engineering senior. This background includes three semesters of calculus, differential equations and basic linear algebra. Some texts on digital control require more

### Book Details

- Amazon Sales Rank: #1274168 in Books
- Published on: 2012-09-20
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x 1.30" w x 7.60" l, 2.40 pounds
- Binding: Hardcover
- 600 pages

## Editorial Reviews

About the Author

Professor and Chair of Department of Electrical & Biomedical Engineering, College of Engineering, University of Nevada, Reno, NV, USA.

M. Sami Fadali earned a BS in Electrical Engineering from Cairo University in 1974, an MS from the Control Systems Center, UMIST, England, in 1977 and a Ph. D. from the University of Wyoming in 1980. He was an Assistant Professor of Electrical Engineering at the University of King Abdul Aziz in Jeddah , Saudi Arabia 1981-1983. From 1983-85, he was a Post Doctoral Fellow at Colorado State University. In 1985, he joined the Electrical Engineering Dept. at the University of Nevada, Reno, where he is currently Professor of Electrical Engineering. In 1994 he was a visiting professor at Oakland University and GM Research and Development Labs. He spent the summer of 2000 as a Senior Engineer at TRW, San Bernardino. His research interests are in the areas of fuzzy logic stability and control, state estimation and fault detection, and applications to power systems, renewable energy, and physiological systems

Full Professor in Control Systems at the Department of Mechanical and Industrial Engineering of the University of Brescia, Brescia, Italy

He received the Laurea degree in Electronic Engineering from the University of Parma in 1995. From September 1994 to February 1995 he was an ERASMUS student at the Electrical and Electronic Department of the Loughborough University of Technology (now Loughborough University), UK. From September 1995 to November 2012 he was with the Department of Information Engineering (formerly, Department of Electronics for Automation) of the Faculty of Engineering of the University of Brescia . In 1999 he received the Ph.D. degree in Applied Mechanics from the University of Brescia.

He is a senior member of IEEE, a member of the IFAC Technical Commitee on Education, a member of the Technical Committee on Education of the IEEE Control Systems Society, a member of the subcommittees on Event-Based Control & Signal and on Industrial Automated Systems and Control of the IEEE Industrial Electronics Society Technical Committee on Factory Automation, and a member of the national board of Anipla (Italian Association for Automation).

## Customer Reviews

Most helpful customer reviews

0 of 1 people found the following review helpful.

Expected more about controls and less about the math which ...

By brad

Expected more about controls and less about the math which is at a much higher level than the controls

0 of 0 people found the following review helpful.

A good effort, but needs to be cleaned up.

By Israel Vaughn

This book has a lot of errors.

For example, on page 18-19 there is a proof of the generalized complex differentiation identity for the Z-transform. Both the form and the proof are incorrect. For example, if we set m=2 and compute (-z)^2 d/dz[d/dzF(z)], that is two derivatives of F(z), we get the Z-transform of k(k+1)f[k], not k^2f[k].

0 of 0 people found the following review helpful.

Ok, but needs work

By Israel Vaughn

This book has a lot of errors.

For example, on page 18-19 there is a proof of the generalized complex differentiation identity for the Z-transform. Both the form and the proof are incorrect. For example, if we set m=2 and compute (-z)^2 d/dz[d/dzF(z)], that is two derivatives of F(z), we get the Z-transform of k(k+1)f[k], not k^2f[k].