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Wednesday, April 29, 2020 | History

2 edition of **Theory of random functions and its application to control problems** found in the catalog.

Theory of random functions and its application to control problems

V. S. Pugachev

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- 0 Currently reading

Published
**1965** by Pergamon Press; [U.S.A. ed. distributed by] Addison-Wesley Pub. Co., Reading, Mass. in Oxford, New York .

Written in English

- Stochastic processes.,
- Control theory.

**Edition Notes**

Statement | [by] V.S. Pugachev. Rev. translation by O.M. Blunn. Translation edited by N.L. Johnson. |

Series | Pergamon Press International series of monographs on automation and automatic control,, v. 5, Pergamon Press international series of monographs on automation and automatic control ;, v. 5., Adiwes international series in mathematics. |

Classifications | |
---|---|

LC Classifications | QA402.3 .P813 1965 |

The Physical Object | |

Pagination | xvii, 833 p. |

Number of Pages | 833 |

ID Numbers | |

Open Library | OL5889571M |

LC Control Number | 63023205 |

Lecture Notes in Actuarial Mathematics A Probability Course for the Actuaries A Preparation for Exam P/1 Marcel B. Finan. ate course in probability theory. Answer keys to text problems are found at the end of the book. Marcel B. Finan Russellville, AR 45 Joint Probability Distributions of Functions of Random Variables Mathematical control theory is the area of application-oriented mathematics that deals with the basic principles underlying the analysis and design of control systems. Probability theory is the branch of mathematics concerned with gh there are several different probability interpretations, probability theory treats the concept in a rigorous mathematical manner by expressing it through a set of lly these axioms formalise probability in terms of a probability space, which assigns a measure taking values between 0 . Book Abstract: Although state variable concepts are a part of modern control theory, they have not been extensively applied in communication theory. The purpose of this book is to demonstrate how the concepts and methods of state variables can be used advantageously in analyzing a variety of communication theory problems.

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The book does not require a high level of competency in the use of mathematical Cited by: Description. Theory of Random Functions and Its Application to Control Problems presents insights into a branch of probability theory, the theory of random functions, Theory of random functions and its application to control problems book studies and takes into account the effects of random factors on the functioning of control systems.

The book does not require a high level Book Edition: 1. "This book is the first monograph that is completely devoted to the theory of products of random variables (PRV). It gives the most comprehensive review of the recent results in this area and could be used as a handbook in PRVthe subject index covers the content of the book Cited by: Get this from a library.

Theory of random functions and its application to control problems. [V S Pugachev]. Products of Random Variables: Applications to Problems of Physics and to Arithmetical Functions - CRC Press Book Products of Random Variables explores the theory of products of random variables through from distributions and limit theorems, to characterizations, to applications in physics, order statistics, and number theory.

V. Pugachev, The theory of random functions and its application to automatic control (GITTL, ). [2] V. Solodovnikov, Introduction to the statistical dynamics of automatic control systems (GITTL, ).Author: G.

Simkin. From an applications viewpoint, the main reason to study the subject of this book is to help deal with the complexity of describing random, time-varying functions.

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Probability Distributions of Discrete Random Variables. A typical example for a discrete random variable \(D\) is the result of a dice roll: in terms of a random experiment this is nothing but randomly selecting a sample of size \(1\) from a set of numbers which are mutually exclusive outcomes.

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