4 edition of **Discrete linear control systems** found in the catalog.

- 156 Want to read
- 17 Currently reading

Published
**1991**
by Kluwer Academic Publishers in Dordrecht, Boston
.

Written in English

- Control theory.

**Edition Notes**

Statement | by V.N. Fomin. |

Series | Mathematics and its applications (Soviet series) ;, v. 67, Mathematics and its applications (Kluwer Academic Publishers)., 67. |

Classifications | |
---|---|

LC Classifications | QA402.3 .F638 1991 |

The Physical Object | |

Pagination | xiii, 302 p. : |

Number of Pages | 302 |

ID Numbers | |

Open Library | OL1535088M |

ISBN 10 | 0792312481 |

LC Control Number | 91012990 |

the system is linear or nonlinear, all variables are continuously present and therefore known (available) at all times. A typical continuous time control system is shown in Figure below. (Closed loop continuous-time control system) Discrete time Control System. In control engineering, a state-space representation is a mathematical model of a physical system as a set of input, output and state variables related by first-order differential equations or difference equations. State variables are variables whose values evolve through time in a way that depends on the values they have at any given time and also depends on the externally imposed values of input variables.

So far I have only addressed designing control systems using the frequency domain, and only with continuous systems. That is, we’ve been working in the S domain with transfer functions. ‘Signals and systems’ is the study of systems and their interaction. This book studies only discrete-time systems, where time jumps rather than changes continuously. This restriction is not as severe as its seems. First, digital computers are, by design, discrete-time devices, so discrete-time signals and systems includes digital computers.

The Wolfram Solution for Control Systems. Obtain continuous-time equivalents of discrete-time systems for analysis and design such as robust pole-assignment algorithms and linear-quadratic optimal control methods; Simulate open- and closed-loop systems to . The theory is illuminated by several examples and exercises, many of them taken from population dynamical studies. Solution methods of linear systems as well as solution methods of discrete optimization (control) problems are also included. In an Appendix it is explained how to estimate parameters in nonlinear discrete models.

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Analysis and Design of Discrete Linear Control Systems (Prentice Hall International Series in Systems and Control Engineering) [Kucera, Vladimir] on *FREE* shipping on qualifying offers. Analysis and Design of Discrete Linear Control Systems (Prentice Hall International Series in Systems and Control Engineering).

A discrete system is one whose output occurs naturally on a discretized time scale, often referred to as discrete time. The discreteness of the process output, however, is not the only factor that determines the discreteness of a system. A Fourdrinier machine produces paper in a continuous sheet.

Combining probability and operator theory, Discrete-Time Markov Jump Linear Systems provides a unified and rigorous treatment of recent results for the control theory of discrete jump linear systems, which are used in these areas of application. 1 Basic concepts and statement of problems in control theory.- Initial Premises.- Basic concepts of control theory.- The control object.- Control algorithm.- Control objective.- Modelling of control objects and their general characteristics.- State equations of discrete processes.- Observability and controllability.- Linear proces.- Precising the statement.

A comprehensive treatment of the analysis and design of discrete-time control systems which provides a gradual development of the theory by emphasizing basic concepts and avoiding highly mathematical arguments.

The book features comprehensive treatment of pole placement, state observer design, and quadratic optimal by: A balanced presentation of the relevant theory: the main state-space methods for description, analysis, and design of linear control systems are derived, without overwhelming theoretical arguments; Over solved and exercise problems for both continuous- and discrete-time systems, often including MATLAB simulations; and.

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Lecture: Discrete-time linear systems Discrete-time linear systems Discrete-time linear system 8. Discrete control is one of the major subsystems in the industrial automation and needs of the manufacturing sectors are the primary driver for the growth and maturity.

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It takes a practical approach while presenting clear and complete explanations. Real world examples demonstrate the analysis and design process. discrete time. Although time-varying systems are studied in the ﬁrst chapter, for a full coverage the reader is encouraged to consult the companion book titled Linear Systems1 that oﬀers detailed descriptions and additional mate-rial, including all the proofs of the results presented in this book.

Continuous time methods are the main focus in the book because these provide the most direct connection to physics. This physical foundation allows a logical presentation and gives a good intuitive feel for control system construction.

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Antsaklis, Kevin M. Passino (eds) - Kluwer Academic Publishers, An introduction to the field of intelligent control with a broad treatment of topics by several authors (including hierarchical / distributed intelligent control, fuzzy control, expert control, neural networks, planning.: Discrete-Time Control Systems (2nd Edition) () by Ogata, Katsuhiko and a great selection of similar New, Used and Collectible Books available now at great prices/5().Works on algebraic methods for control design.

Author of the book Discrete Linear Control: The Polynomial Equation Approach. (Wiley, ). Alan J. Laub: UCLA, Works on numerical algorithms and software for control design. Author of the book Matrix Analysis for Scientists and Engineers (SIAM, ). Moonyong Lee: Yeungnam University.