|Statement||Ioan Doré Landau.|
|Series||Prentice Hall information and system sciences series|
|LC Classifications||QA402.3 .L2913 1990|
|The Physical Object|
|Pagination||xvii, 253 p. :|
|Number of Pages||253|
|LC Control Number||89008843|
System Identification, Environmental Modelling, and Control System Design Editors: Wang, Liuping, Garnier, Hugues (Eds.) Provides the reader with powerful statistical modelling techniques for the better understanding and control of environmental and biological systems. 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. The new series, Emerging Methodologies and Applications in Modelling, Identification and Control, will report and share state-of-the-art work in modelling, identification and control engineering for worldwide university classroom teaching, academic research, and industrial applications in a systematic and sustainable series of book publications. This book covers the design, implementation and automatic tuning of PID control systems with operational constraints.
Digital Control Systems - design, identification, implementationdemonstrates in detail how to design and implement high-performance model-based digital controllers using techniques extensively tested in industry. The effective use of these techniques is illustrated in the context of various systems. A number of recent methodological developments in control design and system identification. As such the identiﬁed mathematical model will help to gain insight into processes, to effectively design experiments, to make better predictions or to improve the performance of a control system. In this book the starting point for identiﬁcation is the prior system knowledge, preferably in terms of a set of algebraic or differential equations. In order to take full advantage of this potential, Digital Control Systems demonstrates in detail how to design and implement high-performance model-based controllers combining system identification and control design techniques extensively tested in industrial milieux. The effective use of these techniques is illustrated in the context of. The book also takes a look at the optimal control of randomly sampled linear stochastic systems; computer aided design of suboptimal test signals for system identification; and computer aided design of multi-level systems with prescribed structure and control constraints.
This book presents the most recent research results on modeling andcontrol of robot manipulators. Chapter 1 gives unified tools to derive direct andinverse geometric, kinematic and dynamic models of serial robotsand addresses the issue of identification of . I used a portfolio of books, since my classes in control engineering covered a variety of topics. The three main books that I used were:  R. C. Dorf and R. H. Bishop. Modern Control Systems. Pearson Education, Upper Saddle River, NJ, elev. Buy Industrial Process Identification And Control Design (Hardcover) by Liu T. Book Online shopping at low Prices in India. Read Books information, ISBN,Summary,Author:Liu T.,Edition, Table of Contents, Syllabus, Index, notes,reviews and ratings and more, Also Get Discounts,exclusive offers & deals on Liu T.'s Industrial Process Identification And Control Design (Hardcover) book. Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented.