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Digital Control Systems

Author: Ioan Doré Landau
Publisher: Springer Science & Business Media
ISBN: 1846280567
Size: 20.61 MB
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The extraordinary development of digital computers (microprocessors, microcontrollers) and their extensive use in control systems in all fields of applications has brought about important changes in the design of control systems. Their performance and their low cost make them suitable for use in control systems of various kinds which demand far better capabilities and performances than those provided by analog controllers. However, in order really to take advantage of the capabilities of microprocessors, it is not enough to reproduce the behavior of analog (PID) controllers. One needs to implement specific and high-performance model based control techniques developed for computer-controlled systems (techniques that have been extensively tested in practice). In this context identification of a plant dynamic model from data is a fundamental step in the design of the control system. The book takes into account the fact that the association of books with software and on-line material is radically changing the teaching methods of the control discipline. Despite its interactive character, computer-aided control design software requires the understanding of a number of concepts in order to be used efficiently. The use of software for illustrating the various concepts and algorithms helps understanding and rapidly gives a feeling of the various phenomena.

Feedback Control Systems

Author: Charles L. Phillips
ISBN: 9780139490903
Size: 80.27 MB
Format: PDF
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This book offers a thorough analysis of the principles of classical and modern feedback control. Organizing topic coverage into three sections--linear analog control systems, linear digital control systems, and nonlinear analog control systems--helps the reader understand the difference between mathematical models and the physical systems that the models represent. FEATURES/BENEFITS NEW--SIMULINK simulation program--Illustrates feedback effects. Helps demonstrate design examples and problems. NEW--MATLAB's symbolic math is employed to verify transforms and to solve differential equations directly. NEW--Computer verification of results. Exposes users to a short MATLAB program when working almost all examples and problems. NEW--Design procedures implemented in MATLAB m-files. NEW--Improved practical application examples. Allows the reader to better relate the mathematical developments to physical systems. Chapter-end problems. Most chapter-end problems lead the reader through a second method of the solution, so that they can verify results. Transfer-function and state-variable models. Familiarizes users with both models for the analysis and design of linear analog systems. System stability discussion--Along with the Routh-Hurwitz stability criterion. Coverage of nonlinear system analysis methods. Emphasizes describing-function analysis, linearization, and the state-plane analysis. Early coverage of expanded frequency-response design criteria. Helps explain closed-loop systems. Digital Control Systems. Provides the reader with the basic principles of digital control. Time-scaling differential equations section. Maximum text/course flexibility --Places more advanced material toward the end of each chapter. Topics can be easily omitted, enabling instructors to tailor the book to meet their needs.

Fundamentals Of Linear State Space Systems

Author: John S. Bay
Publisher: McGraw-Hill Science, Engineering & Mathematics
ISBN: 9780256246391
Size: 14.63 MB
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This text uses the geometric intuition provided by vector space analysis to develop in a sequential manner the essential topics in linear state system theory that an undergraduate student will study. Examples used are drawn from several areas of engineering.

Mastering Simulink

Author: James Dabney
Publisher: Prentice Hall
ISBN: 9780131424777
Size: 79.14 MB
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"The book is meant tp be used with Simulink 5 and subsequent revisions"-- p. xvii.

Digital Control And State Variable Methods

Author: M. Gopal
Publisher: Tata McGraw-Hill Education
ISBN: 9780070483026
Size: 46.91 MB
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Signal processing in digital control - Models of digital control devices and systems - Design of digital control algorithms - Control system analysis using state variable methods - Variable analysis of digital control systems - Pole-placement design and state observers - Lyapunov stability analysis - Linear quadratic optimal control - Nonlinear control systems - Neural networks for control - Fuzzy control.

Mechanical Engineers Handbook Instrumentation Systems Controls And Mems

Author: Myer Kutz
Publisher: Wiley
ISBN: 9780471719861
Size: 29.51 MB
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The updated Revision of the Bestseller--In a more Useful Format! Mechanical Engineers' Handbook has a long tradition as a single resource of valuable information related to specialty areas in the diverse industries and job functions in which mechanical engineers work. This Third Edition, the most aggressive revision to date, goes beyond the straight data, formulas, and calculations provided in other handbooks and focuses on authoritative discussions, real-world examples, and insightful analyses while covering more topics that in previous editions. Book 2: Instrumentation, Systems, Controls, and MEMS is comprised of two major parts, conveniently put together because feedback control systems require measurement transducers. The first part covers instrumentation, including transducer design, strain gages, flow meters, digital integrated circuits, and issues involved in processing transducer signals and acquiring and displaying data. The second part addresses systems and control, including: * Control system design, analysis, and performance modification * Design of servoactuators, controllers, and general-purpose control devices * "New departures" in mechanical engineering, including neural networks, mechatronics, and MEMS

Process Dynamics And Control

Author: Dale E. Seborg
Publisher: John Wiley & Sons
ISBN: 0470128674
Size: 74.70 MB
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This third edition provides chemical engineers with process control techniques that are used in practice while offering detailed mathematical analysis. Numerous examples and simulations are used to illustrate key theoretical concepts. New exercises are integrated throughout several chapters to reinforce concepts. Up-to-date information is also included on real-time optimization and model predictive control to highlight the significant impact these techniques have on industrial practice. And chemical engineers will find two new chapters on biosystems control to gain the latest perspective in the field.