5 edition of **Mathematical control theory** found in the catalog.

- 322 Want to read
- 22 Currently reading

Published
**1990** by Springer-Verlag in New York .

Written in English

- Control theory.,
- System analysis.

**Edition Notes**

Includes bibliographical references (p. 365-388) and index.

Statement | Eduardo D. Sontag. |

Series | Texts in applied mathematics ;, 6 |

Classifications | |
---|---|

LC Classifications | QA402.3 .S683 1990 |

The Physical Object | |

Pagination | xiii, 396 p. : |

Number of Pages | 396 |

ID Numbers | |

Open Library | OL1965976M |

ISBN 10 | 0387973664, 3540973664 |

LC Control Number | 90199990 |

Striking a balance between mathematical rigor and engineering-oriented applications, A Mathematical Introduction to Control Theory covers the bedrock parts of classical control theory—the Routh-Hurwitz theorem and applications, Nyquist diagrams, Bode plots, root locus plots, and the design of controllers (phase-lag, phase-lead, lag-lead, and PID). Mathematical Control Theory: Deterministic Finite Dimensional Systems by Eduardo D. Sontag. Publisher: Springer ISBN/ASIN: ISBN Number of pages: Description: This textbook introduces the basic concepts and .

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Mathematical Control Theory: An Introduction presents, in a mathematically precise manner, a unified introduction to deterministic control theory. With the exception of a few more advanced concepts required for the final part of the book, the presentation requires only a knowledge of basic facts from Mathematical control theory book algebra, differential equations, and calculus.

Mathematical Control Theory. Now online version available (click on link for pdf file, pages) (Please note: book is copyrighted by Springer-Verlag.

Springer has kindly allowed me to place a copy on the web, as a reference and for ease of web searches. Mathematical Control Theory: An Introduction will be ideal for a beginning graduate course in mathematical control theory, or for self-study by professionals needing a complete picture of the mathematical theory that underlies the applications of control : Birkhäuser Basel.

Mathematical Control Theory: An Introduction presents, in a mathematically precise manner, a unified introduction to deterministic control theory.

With the exception of a few more advanced concepts required for the final part Mathematical control theory book the book, the presentation requires only a knowledge of basic facts from linear algebra, differential equations, and by: "This book will be very useful for mathematics and engineering students interested in a modern and rigorous systems course, as well as for the experts in control Brand: Springer-Verlag New York.

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Nine survey. Eduardo Daniel Sontag (born Ap in Buenos Aires, Argentina) is an American mathematician, and Distinguished University Professor at Northeastern University, who works in the fields control theory, dynamical systems, systems molecular biology, cancer and immunology, theoretical computer science, neural networks, and computational biologyDoctoral advisor: Rudolf Kalman.

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Mathematical Control Theory II by Madhu N. Belur, M. Kanat Camlibel, Paolo Rapisarda, Jacquelien M.A. Scherpen,Springer edition, paperback.

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Mathematical Methods of Reliability Theory discusses fundamental concepts of probability theory, mathematical statistics, and an exposition of the relationships among the fundamental quantitative characteristics encountered in the theory. The book deals with the set-theoretic approach to reliability theory and the central concepts of set theory.

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The book touches upon all the major themes: stability theory, feedback control, time lag, prediction theory, dynamic programming, "bang-bang" control, and maximum principles. Mathematical Control Theory: An Introduction presents, in a mathematically precise manner, a unified introduction to deterministic control theory.

In addition to classical concepts and ideas, the author covers the stabilization of nonlinear systems using topological methods, realization theory for nonlinear systems, impulsive control and. A Mathematical Approach to Classical Control Single-input, single-output, time-invariant, continuous time, demands made by a typical introductory course in feedback control.

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