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Computer Aided Design of Multivariable Technological Systems covers the proceedings of the Second International Federation of Automatic Control (IFAC). The book reviews papers that discuss topics about the use of Computer Aided Design (CAD) in designing multivariable system, such as theoretical issues, applications, and implementations. The book tackles several topics relevant to the use of CAD in designing multivariable systems. Topics include quasi-classical approach to multivariable feedback system designs; fuzzy control for multivariable systems; root loci with multiple gain parameters; multivariable frequency domain stability criteria; and computational algorithms for pole assignment in linear multivariable systems. The text will be of great use to professionals whose work involves designing and implementing multivariable systems.
Computer Aided Design of Control Systems focuses on the use of computers to analyze and design the control of various processes, as well as the development of program packages with different algorithms for digital computers. The selection first takes a look at the computer aided design of minimal order controllers, including design of interacting and noninteracting dynamic controllers of minimal order and basic algorithm. The book then discusses an accelerated Newton process to solve Riccati equation through matrix sign function; suboptimal direct digital control of a trickle-bed absorption column; and structural design of large systems employing a geometric approach. The text underscores the computer as an aid for the implementation of advanced control algorithms on physical processes and analysis of direct control algorithms and their parallel realization. Topics include hardware influences on the control, process influence, and interactive structure design of direct control systems. 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. The selection is a dependable source of data for readers interested in the uses of computers.
Recent results in the development and application of analysis and design techniques for the control of multivariable systems are discussed in this volume.
Computer Aided Design in Control and Engineering Systems contains the proceedings of the 3rd International Federation of Automatic Control/International Federation for Information Processing Symposium held in Lyngby, Denmark, from July 31 to August 2, 1985. The papers review the state of the art and the trends in development of computer aided design (CAD) of control and engineering systems, techniques, procedures, and concepts. This book is comprised of 74 chapters divided into 17 sections and begins with a description of a prototype computer environment that combines expert control system analysis and design tools. The discussion then turns to decision support systems which could be used to address problems of management and control of large-scale multiproduct multiline batch manufacturing outside the mechanical engineering industries. The following chapters focus on the use of CAD in control education, industrial applications of CAD, and hardware/software systems. Some examples of universal and specialized CAD packages are presented, and applications of CAD in electric power plants, process control systems, and transportation systems are highlighted. The remaining chapters look at CAD/computer aided engineering/computer aided manufacturing systems as well as the use of mathematical methods in CAD. This monograph will be of interest to practitioners in computer science, computer engineering, and industrial engineering.
This second edition describes the fundamentals of modelling and simulation of continuous-time, discrete time, discrete-event and large-scale systems. Coverage new to this edition includes: a chapter on non-linear systems analysis and modelling, complementing the treatment of of continuous-time and discrete-time systems and a chapter on the computer animation and visualization of dynamical systems motion.
In recent decades, a comprehensive new framework for the theory and design of control systems has emerged. It treats a range of significant and ubiquitous design problems more effectively than the conventional framework. Control Systems Design brings together contributions from the originators of the new framework in which they explain, expand and revise their research work. It is divided into four parts: - basic principles, including those of matching and inequalities with adjustments for robust matching and matching based on H-infinity methods and linear matrix inequalities; - computational methods, including matching conditions for transient inputs and design of a sampled-data control system; - search methods including search with simulated annealing, genetic algorithms and evaluation of the node array method; - case studies, including applications in distillation, benchmarking critical control of magnetic levitation systems and the use of the principle of matching in cruise control.
This book covers a new paradigm of system modeling – the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like μ-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the input–output. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like μ-synthesis-based H∞ control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm.
Presents a state-of-the-art review of model error concepts, their characterization and compensation in estimation and control problems, with particular emphasis on error propagation, model order selection, performance guarantees, sensitivity and adaptive methods. Main topics covered include linear and nonlinear systems, identification, robotics, computer-aided design, signal processing, computers and communication in control, automation and real time control of processes.
The most advanced computer-aided design packages and languages for control systems engineering are discussed here by internationally-renowned engineers and academics. The papers survey more than ten CAD packages and languages for a variety of computer sizes (including personal computers). Also included are Software Summaries'', containing details of 37 available packages from around the world.
Software for Computer Control 1982 covers the proceedings of the Third IFAC/IFIP Symposium. The book discusses the state of software development for digital computer applications for science and control. With a total of 73 papers, the book covers topics such as real-time language and operating systems; man-machine communication software; software for robots; software for distributed control systems; C.A.D. of digital computer controls systems; algorithms for digital computer control; control software engineering and management; and industrial applications. Computer scientists, engineers, and I.T. professionals will find this book interesting, since it provides discussions on the various applications of computer programs.