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**Dynamic modeling and control of engineering systems.
3rd ed.**
*(English)*
Zbl 1146.93005

Cambridge: Cambridge University Press (ISBN 978-0-521-86435-0/hbk). xii, 486 p. (2007).

The book has its roots as lecture notes from L. Shearer’s senior-level mechanical engineering course at Penn State in the 1970s with additions from B. Kulakowski’s and J. Gardner’s experiences since the 1980s. As such it reveals those roots by beginning with lumped-parameter mechanical systems, engaging the student on familiar ground. The following chapters, dealing with types of models (Ch 3) and analytical solutions (Ch 4), have seen only minimal revisions from the original version of the text, with the exception of modest changes in order of presentation and clarification of notation. Chapters 5 and 6, dealing with numerical solutions (simulations), were extensively rewritten (including tutorials on MATLAB and Simulink). Chapters 7, 8, and 9 are domain-specific presentations of electrical, thermal, and fluid systems, respectively. For the third edition, these chapters have been extensively expanded, including operational amplifiers in Chapter 7, an example of lumped approximation of a cooling fin in Chapter 8, and an electrohydraulic servovalve in Chapter 9. Those, using the text in a multidisciplinary setting, or for nonmechanical students, may wish to delay the use of Chapter 2 (mechanical systems) to this point, thus presenting the four physical domains sequentially. Chapter 10 presents some important issues in dealing with multidomain systems and how they interact.

Chapters 11 and 12 introduce the important concept of a transfer function and frequency-domain analysis. These two chapters are the most revised and improved parts of the book. In previous editions, the authors derived the complex transfer function by using complex exponentials as input. For the third edition, they retain this approach, but have added a section showing how to achieve the same ends using the Laplace transform. The book is intended to be a prerequisite to a semester-long course in control systems. However, Chapters 13 and 14 present a brief discussion of the fundamental concepts in feedback control, stability, closed-loop performance, and PID and simple cascade controllers. Similarly, the preponderance of digitally implemented control schemes necessitates a discussion of discrete-time control and the dynamic effects inherent in sampling in the final chapters (15 and 16).

Chapters 11 and 12 introduce the important concept of a transfer function and frequency-domain analysis. These two chapters are the most revised and improved parts of the book. In previous editions, the authors derived the complex transfer function by using complex exponentials as input. For the third edition, they retain this approach, but have added a section showing how to achieve the same ends using the Laplace transform. The book is intended to be a prerequisite to a semester-long course in control systems. However, Chapters 13 and 14 present a brief discussion of the fundamental concepts in feedback control, stability, closed-loop performance, and PID and simple cascade controllers. Similarly, the preponderance of digitally implemented control schemes necessitates a discussion of discrete-time control and the dynamic effects inherent in sampling in the final chapters (15 and 16).

Reviewer: Karl-Heinz Waldmann (Karlsruhe)

### MSC:

93A30 | Mathematical modelling of systems (MSC2010) |

93-01 | Introductory exposition (textbooks, tutorial papers, etc.) pertaining to systems and control theory |