Control systems engineering. Modeling physical systems: Differential equation. Transfer - function models. State models. Simulation. Stability. Performance criteria and some effects of feedback. Root-locuc techniques...

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.

Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; shaping the dynamic response; more. 1986 edition.

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Control Systems Engineering introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to design and analyze control systems using MATLAB’s specialized Control Systems Toolbox. The Control Systems Toolbox offers an extensive range of tools for classical and modern control design. Using these tools you can create models of linear time-invariant systems in transfer function, zero-pole-gain or state space format. You can manipulate both discrete-time and continuous-time systems and convert between various representations. You can calculate and graph time response, frequency response and loci of roots. Other functions allow you to perform pole placement, optimal control and estimates. The Control System Toolbox is open and extendible, allowing you to create customized M-files to suit your specific applications.

Focuses on the first control systems course of BTech, JNTU, this book helps the student prepare for further studies in modern control system design. It offers a profusion of examples on various aspects of study.

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.

Text for a first course in control systems, revised (1st ed. was 1970) to include new subjects such as the pole placement approach to the design of control systems, design of observers, and computer simulation of control systems. For senior engineering students. Annotation copyright Book News, Inc.

In this day and age everything around us is automatic and our desire to automate more stuff is only increasing. Control systems finds its applications in everything you can possibly think of. The concept of Control system plays an important role in the working of, everything from home appliances to guided missiles to self-driving cars. These are just the examples of Control systems we create. Control systems also exist in nature. Within our own body, there are numerous control systems, such as the pancreas, which regulate our blood sugar. In the most abstract sense it is possible to consider every physical object a control system. Hence from an engineering perspective, it is absolutely crucial to be familiar with the analysis and designing methods of such Control systems. Control systems is one of those subjects that go beyond a particular branch of engineering. Control systems find its application in Mechanical, Electrical, Electronics, Civil Engineering and many other branches of engineering. Although this book is written in an Electrical engineering context, we are sure that others can also easily follow the topics and learn a thing or two about Control systems.In this book we provide a concise introduction into classical Control theory. A basic knowledge of Calculus and some Physics are the only prerequisites required to follow the topics discussed in the book. In this book, We've tried to explain the various fundamental concepts of Control Theory in an intuitive manner with minimum math. Also, We've tried to connect the various topics with real life situations wherever possible. This way even first timers can learn the basics of Control systems with minimum effort. Hopefully the students will enjoy this different approach to Control Systems. The various concepts of the subject are arranged logically and explained in a simple reader-friendly language with MATLAB examples.This book is not meant to be a replacement for those standard Control systems textbooks, rather this book should be viewed as an introductory text for beginners to come in grips with advanced level topics covered in those books. This book will hopefully serve as inspiration to learn Control systems in greater depths.