M. Sami Fadali – författare

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 control 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.

This new edition covers new topics such as Model Predictive Control and Linear Matrix Inequalities. To engage students, it has more illustrations and simple examples; the mathematical notation is reducedwhere possible, and it also includes intermediate mathematical steps in derivations. Companion website features resources for instructors, including Powerpoint slides and solutions. Extensive use of CAD Packages: Matlab and Simulink sections at the end of each chapter show how toimplement concepts from the chapter. Contains review material to aid understanding of digital control analysis and design. Includes some advanced material to make it suitable for an introductory graduate level class or for twoquarters at the senior/graduate level. The mathematics background required for understanding most of the book is based on what can bereasonably expected from the average electrical, chemical, or mechanical engineering senior.

This book provides first-year graduate engineering students and practicing engineers with a solid introduction to random signals and estimation. It includes a statistical background that is often omitted in other textbooks but is essential for a clear understanding of estimators and their properties. The book emphasizes applicability rather than mathematical theory. It includes many examples and exercises to demonstrate and learn the theory that makes extensive use of MATLAB and its toolboxes. Although there are several excellent books on random signals and Kalman filtering, this book fulfills the need for a book that is suitable for a single-semester course that covers both random signals and Kalman filters and is used for a two-semester course for students that need remedial background. For students interested in more advanced studies in the area, the book provides a bridge between typical undergraduate engineering education and more advanced graduate-level courses.