System Identification 1994 (SYSID'94), 3-Volume Set PDF Download
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Author: T. Söderström
Publisher: Pergamon
ISBN: 9780080422251
Category : Computers
Languages : en
Pages : 1632
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Book Description
The everyday use of system identification is now widespread, with new and challenging problem areas continually being discovered due, mainly, to new applicaton requirements. Leading researchers and industrial practitioners were able to discuss and evaluate current developments and future reseach directions at the IFAC Symposium on System Identification, SYSID '94. This is one of the most prestigious conferences which has been held every three years since 1967. This publication focuses on new subject areas together with new results from more established areas covered at the symposium. Detailed assessment of important, active subject areas include: Wavelets, Model Quality, Robust Identification and Neural Nets in System Identification, Laguerre and Kautz Models, Bounded Noise, Industrial Use, Subspace Methods, Closed Loop Issues and the interplay between Identification and Signal Processing.
Author: T. Söderström
Publisher: Pergamon
ISBN: 9780080422251
Category : Computers
Languages : en
Pages : 1632
Get Book
Book Description
The everyday use of system identification is now widespread, with new and challenging problem areas continually being discovered due, mainly, to new applicaton requirements. Leading researchers and industrial practitioners were able to discuss and evaluate current developments and future reseach directions at the IFAC Symposium on System Identification, SYSID '94. This is one of the most prestigious conferences which has been held every three years since 1967. This publication focuses on new subject areas together with new results from more established areas covered at the symposium. Detailed assessment of important, active subject areas include: Wavelets, Model Quality, Robust Identification and Neural Nets in System Identification, Laguerre and Kautz Models, Bounded Noise, Industrial Use, Subspace Methods, Closed Loop Issues and the interplay between Identification and Signal Processing.
Author: Steen Toffner-Clausen
Publisher: Springer Science & Business Media
ISBN: 1447115139
Category : Technology & Engineering
Languages : en
Pages : 317
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Book Description
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The present text Steen T0ffner-Clausen deals with both system identification and robust control. It provides a very comprehensive tutorial introduction to some of the most difficult topics in robust control theory before considering applications problems. Traditional Hoo robust control design concepts for multivariable systems are first considered and the problems of robust stability and performance are discussed. The following chapter introduces the idea of the structured singular value and applies this to both analysis and synthesis problems. The author manages to provide a very straightforward introduction to this subject and also introduces some new ideas.
Author: Peter S.C. Heuberger
Publisher: Springer Science & Business Media
ISBN: 1846281784
Category : Technology & Engineering
Languages : en
Pages : 397
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Book Description
Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal processing and information science. A model is always only an approximation of a real phenomenon so that having an approximation theory which allows for the analysis of model quality is a substantial concern. The use of rational orthogonal basis functions to represent dynamical systems and stochastic signals can provide such a theory and underpin advanced analysis and efficient modelling. It also has the potential to extend beyond these areas to deal with many problems in circuit theory, telecommunications, systems, control theory and signal processing. Modelling and Identification with Rational Orthogonal Basis Functions affords a self-contained description of the development of the field over the last 15 years, furnishing researchers and practising engineers working with dynamical systems and stochastic processes with a standard reference work.
Author: Biswa N. Datta
Publisher: Springer Science & Business Media
ISBN: 1461205719
Category : Technology & Engineering
Languages : en
Pages : 557
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Book Description
The purpose of this annual series, Applied and Computational Control, Signals, and Circuits, is to keep abreast of the fast-paced developments in computational mathematics and scientific computing and their increasing use by researchers and engineers in control, signals, and circuits. The series is dedicated to fostering effective communication between mathematicians, computer scientists, computational scientists, software engineers, theorists, and practicing engineers. This interdisciplinary scope is meant to blend areas of mathematics (such as linear algebra, operator theory, and certain branches of analysis) and computational mathematics (numerical linear algebra, numerical differential equations, large scale and parallel matrix computations, numerical optimization) with control and systems theory, signal and image processing, and circuit analysis and design. The disciplines mentioned above have long enjoyed a natural synergy. There are distinguished journals in the fields of control and systems the ory, as well as signal processing and circuit theory, which publish high quality papers on mathematical and engineering aspects of these areas; however, articles on their computational and applications aspects appear only sporadically. At the same time, there has been tremendous recent growth and development of computational mathematics, scientific comput ing, and mathematical software, and the resulting sophisticated techniques are being gradually adapted by engineers, software designers, and other scientists to the needs of those applied disciplines.
Author:
Publisher: European Control Association
ISBN:
Category :
Languages : en
Pages : 878
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Book Description
Proceedings of the European Control Conference 1995, Rome, Italy 5-8 September 1995
Author: Arogyaswami Paulraj
Publisher: Springer Science & Business Media
ISBN: 1461562813
Category : Technology & Engineering
Languages : en
Pages : 572
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Book Description
A. Paulraj*, V. Roychowdhury**, and C. Schaper* * Dept. of Electrical Engineering, Stanford University ** Dept. of Electrical Engineering, UCLA Innumerable conferences are held around the world on the subjects of commu nications, computation, control and signal processing, and on their numerous subdisciplines. Therefore one might not envision a coherent conference encom passing all these areas. However, such an event did take place June 22-26, 1995, at an international symposium held at Stanford University to celebrate Professor Thomas Kailath's sixtieth birthday and to honor the notable con tributions made by him and his students and associates. The depth of these contributions was evident from the participation of so many leading figures in each of these fields. Over the five days of the meeting, there were about 200 at tendees, from eighteen countries, more than twenty government and industrial organizations, and various engineering, mathematics and statistics faculties at nearly 50 different academic institutions. They came not only to celebrate but also to learn and to ponder the threads and the connections that Professor Kailath has discovered and woven among so many apparently disparate areas. The organizers received many comments about the richness of the occasion. A distinguished academic wrote of the conference being "the single most rewarding professional event of my life. " The program is summarized in Table 1. 1; a letter of reflections by Dr. C. Rohrs appears a little later.
Author: Robert Babuška
Publisher: Springer Science & Business Media
ISBN: 9401148686
Category : Mathematics
Languages : en
Pages : 269
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Book Description
Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling of partly-known nonlinear systems. Fuzzy models can effectively integrate information from different sources, such as physical laws, empirical models, measurements and heuristics. Application areas of fuzzy models include prediction, decision support, system analysis, control design, etc. Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering points of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements (fuzzy identification), and on the design of nonlinear controllers based on fuzzy models. To automatically generate fuzzy models from measurements, a comprehensive methodology is developed which employs fuzzy clustering techniques to partition the available data into subsets characterized by locally linear behaviour. The relationships between the presented identification method and linear regression are exploited, allowing for the combination of fuzzy logic techniques with standard system identification tools. Attention is paid to the trade-off between the accuracy and transparency of the obtained fuzzy models. Control design based on a fuzzy model of a nonlinear dynamic process is addressed, using the concepts of model-based predictive control and internal model control with an inverted fuzzy model. To this end, methods to exactly invert specific types of fuzzy models are presented. In the context of predictive control, branch-and-bound optimization is applied. The main features of the presented techniques are illustrated by means of simple examples. In addition, three real-world applications are described. Finally, software tools for building fuzzy models from measurements are available from the author.
Author: Magdi S. Mahmoud
Publisher: Springer Science & Business Media
ISBN: 1447128796
Category : Technology & Engineering
Languages : en
Pages : 576
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Book Description
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.
Author: Hugues Garnier
Publisher: Springer Science & Business Media
ISBN: 1848001614
Category : Technology & Engineering
Languages : en
Pages : 413
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Book Description
This is the first book dedicated to direct continuous-time model identification for 15 years. It cuts down on time spent hunting through journals by providing an overview of much recent research in an increasingly busy field. The CONTSID toolbox discussed in the final chapter gives an overview of developments and practical examples in which MATLAB® can be used for direct time-domain identification of continuous-time systems. This is a valuable reference for a broad audience.
Author: Ming L. Wang
Publisher: Elsevier
ISBN: 1782422439
Category : Technology & Engineering
Languages : en
Pages : 738
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Book Description
Sensors are used for civil infrastructure performance assessment and health monitoring, and have evolved significantly through developments in materials and methodologies. Sensor Technologies for Civil Infrastructure Volume II provides an overview of sensor data analysis and case studies in assessing and monitoring civil infrastructures. Part one focuses on sensor data interrogation and decision making, with chapters on data management technologies, data analysis, techniques for damage detection and structural damage detection. Part two is made up of case studies in assessing and monitoring specific structures such as bridges, towers, buildings, dams, tunnels, pipelines, and roads. Sensor Technologies for Civil Infrastructure provides a standard reference for structural and civil engineers, electronics engineers, and academics with an interest in the field. Provides an in-depth examination of sensor data management and analytical techniques for fault detection and localization, looking at prognosis and life-cycle assessment Includes case studies in assessing structures such as bridges, buildings, super-tall towers, dams, tunnels, wind turbines, railroad tracks, nuclear power plants, offshore structures, levees, and pipelines
