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This book is intended for researchers in process control and applied mathematics. It can also serve as a textbook for graduate students interested in nonlinear control theory.After discussing the basic design method of Model Reference Nonlinear Controller (MRNC), the book deals with the incorporation of explicit integral and derivative actions in the control law. Extension of the method to systems with relative order two and higher is provided. The design of series cascade MRNC systems and parallel cascade MRNC systems are given.Extensions of MRNC for systems with significant measurement dynamics or actuator dynamics are made. The design method of MRNC for systems with delay in measurement or in actuator is provided.Simulation studies on several nonlinear processes prove the effectiveness of the MRNC. Printed Pages: 154. Buchnummer des Verkäufers 15430
Inhaltsangabe: Control Systems Engineering (2/E) I.J. Nagarath and M. Gopal The book provides an integrated treatment of continuous-time and discrete-time linear and continuous-time nonlinear systems for two courses at undergraduate level or one course at undergraduate level and one course at postgraduate level. The stress is on the interdisciplinary nature of the subject and examples have been drawn from various engineering disciplines to illustrate the basic system concepts. A strong emphasis is laid on modelling of practical systems involving hardware; control components of a wide variety are comprehensively covered. Time and frequency domain techniques of analysis and design of control systems have been exhaustively treated and their interrelationship established. The concepts and criteria of stability are progressively built and interspersed at suitable locations culminating in the generalized criteria of Liapunov and Popov. A chapter on sampled-data control systems covering analysis, stability and design has been added in this edition. Modern approaches are introduced through a full chapter on state variables for both continuous-and discrete-time systems; it includes observer and pole placement design. A new chapter on optimal control gives both transfer function and time domain approaches. The optimal linear regulator problem is treated through dynamic programming. This book ends with a chapter on nonlinear control systems and their analysis via phase-plane and describing function techniques. Control Systems Naresh K. Sinha An introduction to Control Systems, this book provides the reader with the basic concepts of control theory as developed over the years in both the frequency domain and the time domain. The opening chapters of the book present a unified treatment of modelling of dynamic systems, the classical material on the performance of feedback systems based on the transfer function approach and the stability of linear systems. Further, various types of frequency response plots and the compansation of control systems have been presented. In particular, the trial-and-error approach to the design of lead compensators, as found in most textbooks, has been replaced by a direct method developed in the late 1970’s. Moreover, the design of pole-placement compensators using transfer functions, the counterpart of the combined observer and state feedback controller, has been included for the first time in a book appropriate for undergraduate and practising engineers. This book is an attempt to aid the student remove the drudgery out of numerical computations, along with numerous worked examples and drill problems with answers to help the student in mastering the subject.
From the Inside Flap: This book is intended for researchers in process control and applied mathematics. It can also serve as a textbook for graduate students interested in nonlinear control theory. After discussing the basic design method of Model Reference Nonlinear Controller (MRNC), the book deals with the incorporation of explicit integral and derivative actions in the control law. Extension of the method to systems with relative order two and higher is provided. The design of series cascade MRNC systems and parallel cascade MRNC systems are given. Exlensions of MRNC for systems with significant measurement dynamics or actuator dynamics are made. The design method of MRNC for systems with delay in measurement or in actuator is provided. Simulation studies on several nonlinear processes prove the effectiveness of the MRNC. The auther received B.E. (chemical) in 1975 from Annamalai University and M.E. and Ph.D. from I.I.Sc., Bangalore in 1977 and 1984 respectively. He had been in the faculty of Chemical Engineering, Indian Institute of Technology, Bombay from 1984 to 1991. He is presently an Associate Professor in the Department of Chemical Engineering, I.I.T., Madras. His main teaching and research interests are in the area of Process Dynamics and control. He has 60 research publications in this area and guided 3 Ph.D. students. He has organized three Q.I.P short term courses related to Advanced Process Control.
Titel: Nonlinear Process Control
Verlag: New Age International (P) Limited
Auflage: 5th or later edition.
Buchbeschreibung Academic Press New York, 1965. 2 340 Seiten Guter Zustand Ex-Library. Cloth. Artikel-Nr. ha1040994
Buchbeschreibung Academic Press, 1971. - Text englisch/aus der Reihe: Mathematics in Science and Engineering, Band 40-II - Gewicht in Gramm: 704 Academic Press, New York, 1971. 306 S., Ln.U. (Stempel auf Vorsatz/Stempel auf Vorsatz überklebt). Artikel-Nr. 1f4306
Buchbeschreibung Shaker Verlag Mrz 2014, 2014. Taschenbuch. Buchzustand: Neu. Neuware - Nonlinear model predictive control (NMPC) is perhaps the most advanced feedback control technique that introduced a significant impact on the industrial chemical processes since it is capable to optimize and control the system simultaneously. Its abilities to handle multivariable control systems, to incorporate constraints into the control problem formulation and to enable the integration of economics optimizing criteria into the feedback control design are the most outstanding advantages among many others. Different nonlinear model predictive techniques were applied successfully to different control structures of a simulated nonlinear continuous stirred tank reactor with feed concentration disturbances and sensor noise, and to different control structures of a simulated pilot-scale continuous catalytic distillation column with plant-model mismatch and input and output noise. Both of the considered case studies exhibit complex phenomena such as nonlinearity, non-minimum phase behaviour (NMP), input multiplicity and local minima. Input multiplicities for instance may lead to multiple solutions and to wrong control actions and the steady-state may be shifted to a sub-optimal operating point during the operation of the plant when the standard class of controllers with a regulation objective (conventional reference tracking NMPC) is used. Economics optimizing NMPC controllers to optimize and control the operations of a non-minimum phase continuous stirred tank reactor (CSTR) and the operations of a complex dynamics pilot-scale continuous catalytic distillation (CCD) process are intensively investigated. This direct economic optimization scheme is compared with a compromise scheme, the economics-oriented tracking controller. Different control structures are used to explore the potential benefits of the dynamic online economicsbased nonlinear control strategies. Online state and disturbance estimation is an integral part of the investigated NMPC control schemes particularly in the presence of disturbances and plant-model mismatch. Two conceptually different state and disturbance estimation techniques are used in this dissertation namely the extended Kalman filter (EKF) and the nonlinear gain-scheduled observer, which is a modified version of the extended Luenberger observer (ELO). In this dissertation, global as well as local optimization algorithms are used. The global optimization algorithm is used primarily to locate the optimal region (i.e. good initial guess) to a local optimization algorithm and to avoid those potentially optimal parts of the space from being overlooked. The local optimization algorithm finds the best point in that optimal region. The outcome of this work indicates that by using direct economics optimizing NMPC the plant economics can be handled better while guaranteeing the product specifications. The economics-oriented tracking controller can also improve the economics of the process when more degrees of freedom than controlled variables are available, however, it can also violates the product specifications which necessitates the use of an extensive tuning procedure. Generally, the economics of the process can be enhanced when more degree of freedom are manipulated at the price of more complex optimization problems. The concept of the economics optimizing NMPC can straightforwardly be applied to similar chemical processes and the findings and conclusions deduced from this work are important for analogous chemical processes. 279 pp. Englisch. Artikel-Nr. 9783844026689
Buchbeschreibung Academic Press Inc., New York 1967 + 1971., 1967. 2 Volumes (2 Bände),. 245 S. - 306 S., Sprache: Englisch Gewicht in Gramm: 1280 Groß 8°, Original-Pappbände (Hardcover), Bibliotheks-Exemplar (ordnungsgemäß entwidmet) mit Rückenschild, Stempel auf Titel, Einband in selbstklebende transparente Schutzfolie eingeschlagen, insgesamt gutes und innen sauberes Exemplar, (library copies in good condition), Artikel-Nr. 71351
Buchbeschreibung Springer-Verlag Gmbh Okt 2012, 2012. Taschenbuch. Buchzustand: Neu. Neuware - The interest in control of nonlinear partial differential equation (PDE) sys tems has been triggered by the need to achieve tight distributed control of transport-reaction processes that exhibit highly nonlinear behavior and strong spatial variations. Drawing from recent advances in dynamics of PDE systems and nonlinear control theory, control of nonlinear PDEs has evolved into a very active research area of systems and control. This book the first of its kind- presents general methods for the synthesis of nonlinear and robust feedback controllers for broad classes of nonlinear PDE sys tems and illustrates their applications to transport-reaction processes of industrial interest. Specifically, our attention focuses on quasi-linear hyperbolic and parabolic PDE systems for which the manipulated inputs and measured and controlled outputs are distributed in space and bounded. We use geometric and Lyapunov-based control techniques to synthesize nonlinear and robust controllers that use a finite number of measurement sensors and control actuators to achieve stabilization of the closed-loop system, output track ing, and attenuation of the effect of model uncertainty. The controllers are successfully applied to numerous convection-reaction and diffusion-reaction processes, including a rapid thermal chemical vapor deposition reactor and a Czochralski crystal growth process. The book includes comparisons of the proposed nonlinear and robust control methods with other approaches and discussions of practical implementation issues. 248 pp. Englisch. Artikel-Nr. 9781461266525
Buchbeschreibung Springer-Verlag Gmbh Apr 2011, 2011. Buch. Buchzustand: Neu. Neuware - Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems - the first book to do so. The design of model predictive control systems using Lyapunov-based techniques accounting for the influence of asynchronous and delayed measurements is followed by a treatment of networked control architecture development. This shows how networked control can augment dedicated control systems in a natural way and takes advantage of additional, potentially asynchronous and delayed measurements to maintain closed loop stability and significantly to improve closed-loop performance. The text then shifts focus to the design of distributed predictive control systems that cooperate efficiently in computing optimal manipulated input trajectories that achieve desired stability, performance and robustness specifications but spend a fraction of the time required by centralized control systems. Key features of this book include: - new techniques for networked and distributed control system design; - insight into issues associated with networked and distributed predictive control and their solution; - detailed appraisal of industrial relevance using computer simulation of nonlinear chemical process networks and wind- and solar-energy-generation systems; and - integrated exposition of novel research topics and rich resource of references to significant recent work. A full understanding of Networked and Distributed Predictive Control requires a basic knowledge of differential equations, linear and nonlinear control theory and optimization methods and the book is intended for academic researchers and graduate students studying control and for process control engineers. The constant attention to practical matters associated with implementation of the theory discussed will help each of these groups understand the application of the book's methods in greater depth. 230 pp. Englisch. Artikel-Nr. 9780857295811
Buchbeschreibung Springer Verlag, 2005. Paperback. Buchzustand: Fine. First Edition. 444 pages with no index. Clean over all with no marks folds or highlights inside. in fine condition. paperback.We can ship from the USA and Canada. Artikel-Nr. 22040
Buchbeschreibung Springer-Verlag Gmbh Aug 2008, 2008. Buch. Buchzustand: Neu. Neuware - Dynamic optimization is rocket science - and more. This volume teaches researchers and students alike to harness the modern theory of dynamic optimization to solve practical problems. These problems not only cover those in space flight, but also in emerging social applications such as the control of drugs, corruption, and terror. This volume is designed to be a lively introduction to the mathematics and a bridge to these hot topics in the economics of crime for current scholars. The authors celebrate Pontryagin's Maximum Principle - that crowning intellectual achievement of human understanding. The rich theory explored here is complemented by numerical methods available through a companion web site. 552 pp. Englisch. Artikel-Nr. 9783540776468
Buchbeschreibung Springer-Verlag Gmbh Okt 2005, 2005. Taschenbuch. Buchzustand: Neu. Neuware - This monograph provides insight and fundamental understanding into the feedback control of nonlinear and hybrid process systems. It presents state-of-the-art methods for the synthesis of nonlinear feedback controllers for nonlinear and hybrid systems with uncertainty, constraints and time-delays with numerous applications, especially to chemical processes. It covers both state feedback and output feedback (including state estimator design) controller designs. Control of Nonlinear and Hybrid Process Systems includes numerous comments and remarks providing insight and fundamental understanding into the feedback control of nonlinear and hybrid systems, as well as applications that demonstrate the implementation and effectiveness of the presented control methods. The book includes many detailed examples which can be easily modified by a control engineer to be tailored to a specific application. This book is useful for researchers in control systems theory, graduate students pursuing their degree in control systems and control engineers. 446 pp. Englisch. Artikel-Nr. 9783540284567