Discrete-time and Computer Control Systems
Author: James A. Cadzow
Publisher: Prentice Hall
Published: 1970
Total Pages: 504
ISBN-13:
DOWNLOAD EBOOKTreats systems in which the digital computer plays a central role.
Posts
Computer-Controlled Systems
Author: Karl Johan Åström
Publisher: Courier Corporation
Published: 2011-01-01
Total Pages: 578
ISBN-13: 0486486133
DOWNLOAD EBOOKThis volume's focus on the design of computer controlled systems features computational tools that can be applied directly and are explained with simple paper-and-pencil calculations. The use of computational tools is balanced by strong emphasis on control system principles and ideas. Extensive pedagogical aids include worked examples, MATLAB macros, and a solutions manual.
Advanced Discrete-Time Control
Author: Khalid Abidi
Publisher: Springer
Published: 2015-03-25
Total Pages: 232
ISBN-13: 981287478X
DOWNLOAD EBOOKThis book covers a wide spectrum of systems such as linear and nonlinear multivariable systems as well as control problems such as disturbance, uncertainty and time-delays. The purpose of this book is to provide researchers and practitioners a manual for the design and application of advanced discrete-time controllers. The book presents six different control approaches depending on the type of system and control problem. The first and second approaches are based on Sliding Mode control (SMC) theory and are intended for linear systems with exogenous disturbances. The third and fourth approaches are based on adaptive control theory and are aimed at linear/nonlinear systems with periodically varying parametric uncertainty or systems with input delay. The fifth approach is based on Iterative learning control (ILC) theory and is aimed at uncertain linear/nonlinear systems with repeatable tasks and the final approach is based on fuzzy logic control (FLC) and is intended for highly uncertain systems with heuristic control knowledge. Detailed numerical examples are provided in each chapter to illustrate the design procedure for each control method. A number of practical control applications are also presented to show the problem solving process and effectiveness with the advanced discrete-time control approaches introduced in this book.
Discrete-data Control Systems
Author: Benjamin C. Kuo
Publisher:
Published: 1974
Total Pages: 420
ISBN-13:
DOWNLOAD EBOOKControl and System Theory of Discrete-Time Stochastic Systems
Author: Jan H. van Schuppen
Publisher: Springer Nature
Published: 2021-08-02
Total Pages: 940
ISBN-13: 3030669521
DOWNLOAD EBOOKThis book helps students, researchers, and practicing engineers to understand the theoretical framework of control and system theory for discrete-time stochastic systems so that they can then apply its principles to their own stochastic control systems and to the solution of control, filtering, and realization problems for such systems. Applications of the theory in the book include the control of ships, shock absorbers, traffic and communications networks, and power systems with fluctuating power flows. The focus of the book is a stochastic control system defined for a spectrum of probability distributions including Bernoulli, finite, Poisson, beta, gamma, and Gaussian distributions. The concepts of observability and controllability of a stochastic control system are defined and characterized. Each output process considered is, with respect to conditions, represented by a stochastic system called a stochastic realization. The existence of a control law is related to stochastic controllability while the existence of a filter system is related to stochastic observability. Stochastic control with partial observations is based on the existence of a stochastic realization of the filtration of the observed process.
Neural Network Control of Nonlinear Discrete-Time Systems
Author: Jagannathan Sarangapani
Publisher: CRC Press
Published: 2018-10-03
Total Pages: 623
ISBN-13: 1420015451
DOWNLOAD EBOOKIntelligent systems are a hallmark of modern feedback control systems. But as these systems mature, we have come to expect higher levels of performance in speed and accuracy in the face of severe nonlinearities, disturbances, unforeseen dynamics, and unstructured uncertainties. Artificial neural networks offer a combination of adaptability, parallel processing, and learning capabilities that outperform other intelligent control methods in more complex systems. Borrowing from Biology Examining neurocontroller design in discrete-time for the first time, Neural Network Control of Nonlinear Discrete-Time Systems presents powerful modern control techniques based on the parallelism and adaptive capabilities of biological nervous systems. At every step, the author derives rigorous stability proofs and presents simulation examples to demonstrate the concepts. Progressive Development After an introduction to neural networks, dynamical systems, control of nonlinear systems, and feedback linearization, the book builds systematically from actuator nonlinearities and strict feedback in nonlinear systems to nonstrict feedback, system identification, model reference adaptive control, and novel optimal control using the Hamilton-Jacobi-Bellman formulation. The author concludes by developing a framework for implementing intelligent control in actual industrial systems using embedded hardware. Neural Network Control of Nonlinear Discrete-Time Systems fosters an understanding of neural network controllers and explains how to build them using detailed derivations, stability analysis, and computer simulations.
Discrete-time Sliding Mode Control
Author: B. Bandyopadhyay
Publisher: Springer Science & Business Media
Published: 2005-10-17
Total Pages: 174
ISBN-13: 9783540281405
DOWNLOAD EBOOKSliding mode control is a simple and yet robust control technique, where the system states are made to confine to a selected subset. With the increasing use of computers and discrete-time samplers in controller implementation in the recent past, discrete-time systems and computer based control have become important topics. This monograph presents an output feedback sliding mode control philosophy which can be applied to almost all controllable and observable systems, while at the same time being simple enough as not to tax the computer too much. It is shown that the solution can be found in the synergy of the multirate output sampling concept and the concept of discrete-time sliding mode control.
Linear Discrete-Time Systems
Author: Zoran M. Buchevats
Publisher: CRC Press
Published: 2017-11-22
Total Pages: 373
ISBN-13: 1351707582
DOWNLOAD EBOOKThis book covers crucial lacunae of the linear discrete-time time-invariant dynamical systems and introduces the reader to their treatment, while functioning under real, natural conditions, in forced regimes with arbitrary initial conditions. It provides novel theoretical tools necessary for the analysis and design of the systems operating in stated conditions. The text completely covers two well-known systems, IO and ISO, along with a new system, IIO. It discovers the concept of the full transfer function matrix F(z) in the z-complex domain, which incorporates the Z-transform of the system, input and another variable, vectors, all with arbitrary initial conditions. Consequently, it addresses the full system matrix P(z) and the full block diagram technique based on the use of F(z), which incorporates the Z-transform of the system, input and another variable, vectors, all with arbitrary initial conditions. The book explores the direct relationship between the system full transfer function matrix F(z) and the Lyapunov stability concept, definitions, and conditions, as well as with the BI stability concept, definitions, and conditions. The goal of the book is to unify the study and applications of all three classes of the linear discrete-time time-invariant system, for short systems.
Introduction To Control Systems, An (2nd Edition)
Author: Kevin Warwick
Publisher: World Scientific Publishing Company
Published: 1996-01-31
Total Pages: 378
ISBN-13: 9813103280
DOWNLOAD EBOOKThis significantly revised edition presents a broad introduction to Control Systems and balances new, modern methods with the more classical. It is an excellent text for use as a first course in Control Systems by undergraduate students in all branches of engineering and applied mathematics. The book contains: A comprehensive coverage of automatic control, integrating digital and computer control techniques and their implementations, the practical issues and problems in Control System design; the three-term PID controller, the most widely used controller in industry today; numerous in-chapter worked examples and end-of-chapter exercises. This second edition also includes an introductory guide to some more recent developments, namely fuzzy logic control and neural networks.
Nonlinear Dynamical Control Systems
Author: Henk Nijmeijer
Publisher: Springer Science & Business Media
Published: 2013-03-14
Total Pages: 427
ISBN-13: 1475721013
DOWNLOAD EBOOKThis volume deals with controllability and observability properties of nonlinear systems, as well as various ways to obtain input-output representations. The emphasis is on fundamental notions as (controlled) invariant distributions and submanifolds, together with algorithms to compute the required feedbacks.
