This text provides problems and solutions of the basic control system concepts. It gives a broad and in-depth overview of solving control system problems.There are sixteen chapters in the book. Chapter 1 introduces the reader to automatic control systems. Chapters 2 to 12 contain problems involving feedback control theory and the frequency domain tools of control system design. Problems on non-linear systems and state space analysis are solved in chapters 13 and 14 respectively. Chapter 15 covers the discrete control system concept. The MATLAB based control system design toolbox and the solutions to the problems programmed in MATLAB environment are discussed in chapter 16.This book will be useful for all engineering disciplines that have control system courses in their curriculum. The topics included can be covered in two academic semesters. The main objective of the book is to enable the students to clearly understand the method of solving control system problems.

This book provides clear presentations of more than sixty important unsolved problems in mathematical systems and control theory. Each of the problems included here is proposed by a leading expert and set forth in an accessible manner. Covering a wide range of areas, the book will be an ideal reference for anyone interested in the latest developments in the field, including specialists in applied mathematics, engineering, and computer science. The book consists of ten parts representing various problem areas, and each chapter sets forth a different problem presented by a researcher in the particular area and in the same way: description of the problem, motivation and history, available results, and bibliography. It aims not only to encourage work on the included problems but also to suggest new ones and generate fresh research. The reader will be able to submit solutions for possible inclusion on an online version of the book to be updated quarterly on the Princeton University Press website, and thus also be able to access solutions, updated information, and partial solutions as they are developed.

This book collects together in one volume a number of suggested control engineering solutions which are intended to be representative of solutions applicable to a broad class of control problems. It is neither a control theory book nor a handbook of laboratory experiments, but it does include both the basic theory of control and associated practical laboratory set-ups to illustrate the solutions proposed.

Once again Nise provides readers with an up-to-date resource for analysing and designing real-world feedback control systems. Throughout the sixth edition, emphasis is placed on the practical application of control systems engineering.

Designed to make the material easy to understand, this clear and thorough book emphasizes the practical application of systems engineering to the design and analysis of feedback systems. Nise applies control systems theory and concepts to current real-world problems, showing readers how to build control systems that can support today's advanced technology.

An excellent introduction to feedback control system design, this book offers a theoretical approach that captures the essential issues and can be applied to a wide range of practical problems. Its explorations of recent developments in the field emphasize the relationship of new procedures to classical control theory, with a focus on single input and output systems that keeps concepts accessible to students with limited backgrounds. The text is geared toward a single-semester senior course or a graduate-level class for students of electrical engineering. The opening chapters constitute a basic treatment of feedback design. Topics include a detailed formulation of the control design program, the fundamental issue of performance/stability robustness tradeoff, and the graphical design technique of loopshaping. Subsequent chapters extend the discussion of the loopshaping technique and connect it with notions of optimality. Concluding chapters examine controller design via optimization, offering a mathematical approach that is useful for multivariable systems.