The PID tuning technique and Robust Control explanations have been updated, and where applicable, pictures have been added. Classical and current approaches to digital control have been thoroughly examined. The book has been updated to include several new subjects, including Neural Network Control, Nonlinear Systems, and Robotics Modeling and Control. Mathematical Models of Physical Systems, Control Systems and Components, Concepts of Stability and Algebraic Criteria, Root Locus Technique, Frequency Response Analysis, Liapunov’s Stability Analysis, Optimal Control Systems, and Advances in Control Systems are just a few of the topics covered in this book. Because the topic area is multidisciplinary, the book’s examples are drawn from a variety of engineering disciplines. The book is appropriate for engineering courses at both the undergraduate and doctoral levels. The book covers a wide range of topics in the field of control systems engineering. Control system analysis and design methodologies in the time and frequency domains have been thoroughly examined, with their interrelationships established. Modeling of practical systems including hardware is emphasised heavily, and a wide range of control components is explored in detail. The emphasis is on the subject’s interdisciplinary nature, and examples from other engineering fields have been used to demonstrate the core system ideas. What if experiments aid in the development of an engineer’s knowledge and abilities?įor two undergraduate semesters or one postgraduate term, the book presents an integrated treatment of continuous-time and discrete-time systems. The latest versions of MATLAB, the Control System Toolbox, Simulink, the Symbolic Math Toolbox, and MATLAB’s graphical user interface (GUI) tools are all covered in tutorials. In addition, key topics are reinforced with useful skill evaluation tasks, numerous in-chapter examples, review questions, and problems. The analysis and design process is demonstrated using real-world situations. It adopts a pragmatic approach while providing clear and comprehensive explanations. Mathematical Models of Physical SystemsĬontrol Systems Engineering is a significant reference for engineers because of its case studies and understandable writing.MATLAB programs at the end of each chapter.Root locus plots and Nyquist plots redrawn as per MATLAB output.One new chapter on Digital control systems.Gives chapter-end review questions and problems to assist students in reinforcing their knowledge.Offers fill in the blanks and objective type questions with answers at the end of each chapter to quiz students on key learning points.Provides short questions with answers at the end of each chapter to help students prepare for exams confidently.Includes several fully worked-out examples to help students master the concepts involved.
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