Download or read book Identification and Classical Control of Linear Multivariable Systems written by V. Dhanya Ram and published by Cambridge University Press. This book was released on 2022-10-31 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book trains engineering students to identify multivariable transfer function models and design classical controllers for such systems.
Download or read book Identification and Classical Control of Linear Multivariable Systems written by V. Dhanya Ram and published by Cambridge University Press. This book was released on 2022-09-30 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most systems involved in a chemical process plant are interactive multivariable systems, to control which, the transfer function matrix model is required. This lucid book considers the identification and control of such systems. It discusses open loop and closed loop identification methods, as well as the design of multivariable controllers based on steady state gain matrix. Simple methods for designing controllers based on transfer function matrix model have been reviewed. The design of controllers for non-square systems, and closed loop identification of multivariable unstable systems by the optimization method are also covered. Several simulation examples and exercise problems at the end of each chapter further help the reader consolidate the knowledge gained. This book will be useful to any engineering student, researcher or practitioner who works with interactive, multivariable control systems.
Download or read book Linear and Nonlinear Multivariable Feedback Control written by Oleg Gasparyan and published by John Wiley & Sons. This book was released on 2008-03-03 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic feedback control systems play crucial roles in many fields, including manufacturing industries, communications, naval and space systems. At its simplest, a control system represents a feedback loop in which the difference between the ideal (input) and actual (output) signals is used to modify the behaviour of the system. Control systems are in our homes, computers, cars and toys. Basic control principles can also be found in areas such as medicine, biology and economics, where feedback mechanisms are ever present. Linear and Nonlinear Multivariable Feedback Control presents a highly original, unified control theory of both linear and nonlinear multivariable (also known as multi-input multi-output (MIMO)) feedback systems as a straightforward extension of classical control theory. It shows how the classical engineering methods look in the multidimensional case and how practising engineers or researchers can apply them to the analysis and design of linear and nonlinear MIMO systems. This comprehensive book: uses a fresh approach, bridging the gap between classical and modern, linear and nonlinear multivariable control theories; includes vital nonlinear topics such as limit cycle prediction and forced oscillations analysis on the basis of the describing function method and absolute stability analysis by means of the primary classical frequency-domain criteria (e.g. Popov, circle or parabolic criteria); reinforces the main themes with practical worked examples solved by a special MATLAB-based graphical user interface, as well as with problems, questions and exercises on an accompanying website. The approaches presented in Linear and Nonlinear Multivariable Feedback Control form an invaluable resource for graduate and undergraduate students studying multivariable feedback control as well as those studying classical or modern control theories. The book also provides a useful reference for researchers, experts and practitioners working in industry
Download or read book Linear Multivariable Control Systems written by Shankar P. Bhattacharyya and published by Cambridge University Press. This book was released on 2022-01-13 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: A graduate text providing broad coverage of linear multivariable control systems, including several new results and recent approaches.
Download or read book Design and identification of linear multivariable control systems written by Erol Emre and published by . This book was released on 1976 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Linear Multivariable Systems written by W. A. Wolovich and published by Springer. This book was released on 1974-07-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text was developed over a three year period of time (1971- 1973) from a variety of notes and references used in the presentation of a senior/first year graduate level course in the Division of En gineering at Brown University titled Linear System Theory. The in tent of the course was not only to introduce students to the more modern, state-space approach to multivariable control system analysis and design, as opposed to the classical, frequency domain approach, but also to draw analogies between the two approaches whenever and wherever possible. It is therefore felt that the material presented will have broader appeal to practicing engineers than a text devoted exclusively to the state-space approach. It was assumed that students taking the course had also taken, as a prerequisite, an undergraduate course in classical control theory and also were familiar with certain standard linear algebraic notions as well as the theory of ordinary differential equations, although a substantial effort was expended to make the material as self-contained as possible. In particular, Chapter 2 is employed to familiarize the reader with a good deal of the mathematical material employed through out the remainder of the text. Chapters 3 through 5 were drawn, in part, from a number of contemporary state-space and matrix algebraic references, as well as some recent research of the author, especially those portions which deal with polynomial matrices and the differential operator approach.
Download or read book Identification of Linear Multivariable Systems written by Asko K. Kippo and published by . This book was released on 1980 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Linear Multivariable Systems written by William A. Wolovich and published by . This book was released on 1974 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Parametrization and Identification of Linear Multivariable Systems written by D. Q. Mayne and published by . This book was released on 1972 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Linear Multivariable Systems written by A. K. Hajdasiński and published by . This book was released on 1980 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A theory for control of linear multivariable systems written by Gunnar Bengtsson and published by . This book was released on 1973 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Development and Implementation of an Identification Package for Linear Multivariable Systems written by M. Hamiane and published by . This book was released on 1984 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multivariable Control Systems written by P. Albertos Pérez and published by Springer Science & Business Media. This book was released on 2004 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariable Control Systems focuses on control design with continual references to the practical aspects of implementation. While the concepts of multivariable control are justified, the book emphasises the need to maintain student interest and motivation over exhaustive mathematical proof. Tools of analysis and representation are always developed as methods for achieving a final control system design and evaluation. Features: • design implementation laid out using extensive reference to MATLAB®; • combined consideration of systems (plant) and signals (mainly disturbances); • step-by-step approach from the objectives of multivariable control to the solution of complete design problems. Multivariable Control Systems is an ideal text for graduate students or for final-year undergraduates looking for more depth than provided by introductory textbooks. It will also interest the control engineer practising in industry and seeking to implement robust or multivariable control solutions to plant problems.
Download or read book A Nonparametric Approach to the Identification of Linear Multivariable Systems written by N. K. Sinha and published by . This book was released on 1977 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Structure Identification of Stationary Linear Multivariable Systems from Input output Data written by John Edwards Purviance and published by . This book was released on 1980 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Generalized Framework of Linear Multivariable Control written by Liansheng Tan and published by Butterworth-Heinemann. This book was released on 2017-02-04 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Generalized Framework of Linear Multivariable Control proposes a number of generalized models by using the generalized inverse of matrix, while the usual linear multivariable control theory relies on some regular models. The book supports that in H-infinity control, the linear fractional transformation formulation is relying on the inverse of the block matrix. If the block matrix is not regular, the H-infinity control does not apply any more in the normal framework. Therefore, it is very important to relax those restrictions to generalize the classical notions and models to include some non-regular cases. This book is ideal for scholars, academics, professional engineer and students who are interested in control system theory. - Presents a comprehensive set of numerical procedures, algorithms, and examples on how to deal with irregular models - Provides a summary on generalized framework of linear multivariable control that focuses on generalizations of models and notions - Introduces a number of generalized models by using the generalized inverse of matrix
Download or read book Linear Multivariable Control written by W. M. Wonham and published by Springer Science & Business Media. This book was released on 2013-11-21 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: In writing this monograph my objective is to present arecent, 'geometrie' approach to the structural synthesis of multivariable control systems that are linear, time-invariant, and of finite dynamic order. The book is addressed to graduate students specializing in control, to engineering scientists engaged in control systems research and development, and to mathematicians with some previous acquaintance with control problems. The label 'geometrie' is applied for several reasons. First and obviously, the setting is linear state space and the mathematics chiefly linear algebra in abstract (geometrie) style. The basic ideas are the familiar system concepts of controllability and observability, thought of as geometrie properties of distinguished state subspaces. Indeed, the geometry was first brought in out of revulsion against the orgy of matrix manipulation which linear control theory mainly consisted of, not so long ago. But secondlyand of greater interest, the geometrie setting rather quickly suggested new methods of attacking synthesis which have proved to be intuitive and economical; they are also easily reduced to matrix arith metic as soonas you want to compute. The essence of the 'geometrie' approach is just this: instead of looking directly for a feedback laW (say u = Fx) which would solve your synthesis problem if a solution exists, first characterize solvability as a verifiable property of some constructible state subspace, say J. Then, if all is weIl, you may calculate F from J quite easily.
