Control System Design

Control System Design

Author: Bernard Friedland

Publisher: Courier Corporation

Published: 2012-03-08

Total Pages: 530

ISBN-13: 048613511X

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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.


Control System Design

Control System Design

Author: Graham Clifford Goodwin

Publisher: Pearson

Published: 2001

Total Pages: 952

ISBN-13:

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For both undergraduate and graduate courses in Control System Design. Using a "how to do it" approach with a strong emphasis on real-world design, this text provides comprehensive, single-source coverage of the full spectrum of control system design. Each of the text's 8 parts covers an area in control--ranging from signals and systems (Bode Diagrams, Root Locus, etc.), to SISO control (including PID and Fundamental Design Trade-Offs) and MIMO systems (including Constraints, MPC, Decoupling, etc.).


Control System Design Guide

Control System Design Guide

Author: George Ellis

Publisher: Butterworth-Heinemann

Published: 2012-05-15

Total Pages: 521

ISBN-13: 0123859204

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This title will help engineers to apply control theory to practical systems using their PC. It provides an intuitive approach to controls, avoiding unecessary math and emphasising key concepts with control system models


PrivacyÕs Blueprint

PrivacyÕs Blueprint

Author: Woodrow Hartzog

Publisher: Harvard University Press

Published: 2018-04-09

Total Pages: 385

ISBN-13: 0674976002

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The case for taking design seriously in privacy law -- Why design is (almost) everything -- Privacy law's design gap -- Privacy values in design -- Setting boundaries for design -- A toolkit for privacy design -- Social media -- Hide and seek technologies -- The internet of things


Control System Principles and Design

Control System Principles and Design

Author: Ernest O. Doebelin

Publisher: ernest otto doebelin

Published: 1985-06-26

Total Pages: 596

ISBN-13: 9780471088158

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Designed for graduate and upper-level undergraduate engineering students, this is an introduction to control systems, their functions, and their current role in engineering design. Organized from a design rather than an analysis viewpoint, it shows students how to carry out practical engineering design on all types of control systems. Covers basic analysis, operating and design techniques as well as hardware/software implementation. Includes case studies.


Model Reduction for Control System Design

Model Reduction for Control System Design

Author: Goro Obinata

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 177

ISBN-13: 1447102835

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Comprehensive treatment of approximation methods for filters and controllers. It is fully up to date, and it is authored by two leading researchers who have personally contributed to the development of some of the methods. Balanced truncation, Hankel norm reduction, multiplicative reduction, weighted methods and coprime factorization methods are all discussed. The book is amply illustrated with examples, and will equip practising control engineers and graduates for intelligent use of commercial software modules for model and controller reduction.


Modern Linear Control Design

Modern Linear Control Design

Author: Paolo Caravani

Publisher: Springer Science & Business Media

Published: 2013-04-16

Total Pages: 122

ISBN-13: 1461469430

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This book offers a compact introduction to modern linear control design. The simplified overview presented of linear time-domain methodology paves the road for the study of more advanced non-linear techniques. Only rudimentary knowledge of linear systems theory is assumed - no use of Laplace transforms or frequency design tools is required. Emphasis is placed on assumptions and logical implications, rather than abstract completeness; on interpretation and physical meaning, rather than theoretical formalism; on results and solutions, rather than derivation or solvability. The topics covered include transient performance and stabilization via state or output feedback; disturbance attenuation and robust control; regional eigenvalue assignment and constraints on input or output variables; asymptotic regulation and disturbance rejection. Lyapunov theory and Linear Matrix Inequalities (LMI) are discussed as key design methods. All methods are demonstrated with MATLAB to promote practical use and comprehension.


Process Control Design for Industrial Applications

Process Control Design for Industrial Applications

Author: Dumitru Popescu

Publisher: John Wiley & Sons

Published: 2017-04-12

Total Pages: 258

ISBN-13: 1119407931

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This book presents the most important methods used for the design of digital controls implemented in industrial applications. The best modelling and identification techniques for dynamical systems are presented as well as the algorithms for the implementation of the modern solutions of process control. The proposed described methods are illustrated by various case studies for the main industrial sectors There exist a number of books related each one to a single type of control, yet usually without comparisons for various industrial sectors. Some other books present modelling and identification methods or signal processing. This book presents the methods to solve all the problems linked to the design of a process control without the need to find additional information.


Applied Control Systems Design

Applied Control Systems Design

Author: Magdi S. Mahmoud

Publisher: Springer Science & Business Media

Published: 2012-04-13

Total Pages: 576

ISBN-13: 1447128796

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Applied Control System Design examines several methods for building up systems models based on real experimental data from typical industrial processes and incorporating system identification techniques. The text takes a comparative approach to the models derived in this way judging their suitability for use in different systems and under different operational circumstances. A broad spectrum of control methods including various forms of filtering, feedback and feedforward control is applied to the models and the guidelines derived from the closed-loop responses are then composed into a concrete self-tested recipe to serve as a check-list for industrial engineers or control designers. System identification and control design are given equal weight in model derivation and testing to reflect their equality of importance in the proper design and optimization of high-performance control systems. Readers’ assimilation of the material discussed is assisted by the provision of problems and examples. Most of these exercises use MATLAB® to make computation and visualization more straightforward. Applied Control System Design will be of interest to academic researchers for its comparison of different systems models and their response to different control methods and will assist graduate students in learning the practical necessities of advanced control system design. The consistent reference to real systems coupled with self-learning tools will assist control practitioners who wish to keep up to date with the latest control design ideas.