Katsuhiko ogata biography template

It introduces the modeling of dynamic systems and response analysis of these systems, with an introduction to the analysis and design of control systems. KEY TOPICS Specific chapter topics include The Laplace Transform, mechanical systems, transfer-function approach to modeling dynamic systems, state-space approach to modeling dynamic systems, electrical systems and electro-mechanical systems, fluid systems and thermal systems, time domain analyses of dynamic systems, frequency domain analyses of dynamic systems, time domain analyses of control systems, and frequency domain analyses and design of control systems.

For mechanical and aerospace engineers.

Katsuhiko ogata biography template: Modern Control Engineering - Katsuhiko

This comprehensive treatment of the continuous-time control systems provides a gradual development of control theory - and shows how to solve all computational problems with MATLAB. It avoids highly mathematical arguments, and features an abundance of examples and worked problems throughout. This edition reorganizes content to cover all basic materials of control systems in the first ten chapters, leaving advanced topics to the last.

It provides detailed explanations on how to write MATLAB programs to solve a variety of problems in control engineering, expands coverage of the design aspects of control engineering with many new design problems; adds an introduction to robust control; and includes many new computational problems - all solved with MATLAB. Pub Date: October of Pages: Publisher: Machinery Industry Press discrete time control system English 2 a thorough introduction to a discrete-time control system analysis and design methods.

Discrete-time control system English 2 suitable for professional as institutions of higher learning teaching materials. Read the book the reader needs to have the control system and basic knowledge of commonly used control system of ordinary differential equations. Discrete-time control system English version 2 The main features include: detailed background knowledge of the control system design theory; wash through the state space method and polynomial square pole wi The previous edition ISBN is: For senior or graduate-level students taking a first course in Control Theory in departments of Mechanical, Electrical, Aerospace, and Chemical Engineering.

A comprehensive, senior-level textbook for control engineering. The text provides a gradual development of control theory, shows how to solve all computational problems with MATLAB, and avoids highly mathematical arguments. Genres Engineering.

Katsuhiko ogata biography template: Description: The Author Profile Page initially

Loading interface About the katsuhiko ogata biography template. Katsuhiko Ogata 42 books 33 followers. Katsuhiko Ogata is a professor of engineering who was born in TokyoJapan ; on January 6 of After receiving his degree, he spent three years as a research assistant at the Scientific Research Institute in Tokyofollowed by two years of industrial experience in Nippon Steel Tube Company, Japan.

In he received a scholarship "Fulbright Travel Grant" to go to the United States and more advanced degrees. He earned a master's degree in Mechanical Engineering from the University of Illinois inand a Ph. Mathematical modeling procedure. The procedure for obtaining a mathematical model for a system can be summarized as follows: L Draw a schematic diagram of the system, and define variables.

Using physical laws, write equations for each component, combine them according to the system diagram, and obtain a mathematical model. To verify the validity of the model, its predicted performance, obtained by solving the equations of the model, is compared with experimental results. The question of the validity of any mathematical model can be answered only by experiment.

A new model is then derived and a new prediction compared with experimental results. The process is repeated until satisfactory agreement is obtained between the predictions and the experimental results. System analysis means the investigation, under specified conditions, of the performance of a system whose mathematical model is known. The first step in analyzing a dynamic system is to derive its mathematical model.

Since any system is made up of components, analysis must start by developing a mathematical model for each component and combining all the models in order to build a model of the complete system. Once the latter model is obtained, the analysis may be formulated in such a way that system parameters in the model are varied to produce a number of solutions.

The engineer then compares these solutions and interprets and applies the results of his or her analysis to the basic task. H should always be remembered that deriving a reasonable model for the complete system is the most important part of the entire analysis. Once such a model is available, various analytical and computer techniques can be used to analyze it.

The manner in which analysis is carried out is independent of the type of physical system involved-mechanical, electrical, hydraulic, and so on. System design refers to the process of finding a system that accomplishes a given task. In general, the design procedure is not straightforward and will require trial and error. By synthesis, we mean the use of an explicit procedure to find a system that will perform in a specified way.

Katsuhiko ogata biography template: Katsuhiko Ogata is a professor

Here the desired system characteristics are postulated at the outset, and then various mathematical techniques are used to synthesize a system having those characteristics. Generally, such a procedure is completely mathematical from the start to the end of the design process. Basic approach to system design. The basic approach to the design of any dynamic system necessarily involves trial-and-error procedures.

Theoretically, a synthesis of linear systems is possible, and the engineer can systematically determine the components necessary to realize the system's objective. In practice, however, the system may be subject to many constraints or may be nonlinear; in such cases, no synthesis methods are currently applicable. Moreover, the features of the components may not be precisely known.

Thus, trial-and-error techniques are almost always needed. Design procedures. The specification may be given in terms of both precise numerical values and vague qualitative descriptions. Engineering specifications normally include statements on such factors as cost, reliability, space, weight, and ease of maintenance. It is important to note that the specifications may be changed as the design progresses, for detailed analysis may reveal that certain requirements are impossible to meet.

Next, the engineer will apply any applicable synthesis techniques, as well as other methods, to build a mathematical model of the system. Once the design problem is formulated in terms of a model, the engineer carries out a mathematical design that yields a solution to the mathematical version of the design problem. With the mathematical design completed, the engineer simulates the model on a computer to test the effects of various inputs and disturbances on the behavior of the resulting system.

If the initial system configuration is not satisfactory, the system must be redesigned and the corresponding analysis completed. This process of design and analysis is repeated until a satisfactory system is found. Then a prototype physical system can be constructed. Note that the process of constructing a prototype is the reverse of mathematical modeling.

The prototype is a physical system that represents the mathematical model with reasonable accuracy. Once the prototype has been built, the engineer tests it to see whether it is satisfactory. If it is, the design of the prototype is complete. If not, the prototype must be modified and retested. The process continues until a satisfactory prototype is obtained.

The validity of a prediction depends to a great extent on the validity of the mathematical model used in making the prediction. From the design standpoint, the engineer must be able to carry out a thorough performance analysis of the system before a prototype is constructed. The objective of this book is to enable the reader 1 to build mathematical models that closely represent behaviors of physical systems and 2 to develop system responses to various inputs so that he or she can effectively analyze and design dynamic systems.

Outline of the text. Chapter 1 has presented an introduction to system dynamics. Chapter 2 treats Laplace transforms. We begin with Laplace transformation of simple time functions and then discuss inverse Laplace transformation. Several useful theorems are derived. Chapter 3 deals with basic accounts of mechanical systems. Chapter 4 presents the transfer-function approach to modeling dynamic systems.

The katsuhiko ogata biography template discusses various types of mechanical systems. Chapter 5 examines the state-space approach to modeling dynamic systems. Various types of mechanical systems are considered. Chapter 6 treats electrical systems and electromechanical systems, including operational-amplifier systems. A linearization technique for nonlinear systems is explored.

Chapter 8 presents time-domain analyses of dynamic systems-specifically, transient-response analyses of dynamic systems. The chapter also presents the analytical solution of the state equation. Chapter 9 treats frequency-domain analyses of dynamic systems. Among the topics discussed are vibrations of rotating mechanical systems and vibration isolation problems.

Also discussed are vibrations in multidegrees-of-freedom systems and modes of vibrations. Chapter 10 presents the basic theory of control systems, including transientresponse analysis, stability analysis, and root-locus analysis and design. Also discussed are tuning rules for PID controllers. Chapter 11 deals with the analysis and design of control systems in the frequency domain.

The chapter begins with Bode diagrams and then presents the Nyquist stability criterion, followed by detailed design procedures for lead, lag, and lag-lead compensators. Appendix A treats systems of units, Appendix B summarizes conversion tables, and Appendix C gives a brief summary of vector-matrix algebra. Since the Laplace transform method must be studied in any system dynamics course, we present the subject at the beginning of this text so that the student can use the method throughout his or her study of system dynamics.

The remaining sections of this chapter are outlined as follows: Section reviews complex numbers, complex variables, and complex functions. Explanations of the mathematical concepts used in classical control such as root loci, frequency response and stability methods are explained by making use of MATLAB. This book will discuss the topic of Control Systems, which is an interdisciplinary engineering topic.

Methods considered here will consist of both "Classical" control methods, and "Modern" control katsuhiko ogata biographies template. This open access book introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together.

This book covers what constitutes the common core of control theory and is unique in its emphasis on foundational aspects. 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. This book provides engineers, computer scientists, mathematicians, and students a broad, comprehensive source of information and technology to address many questions and aspects of flexible embedded control systems.

The book is mainly addressed to practicing control and embedded software engineers - working in research and development — as well as graduate students who are faced with the challenge to design control systems and implement them in real-time. This self-contained introduction to the distributed control of robotic networks offers a distinctive blend of computer science and control theory.