4 edition of **Discrete techniques of parameter estimation** found in the catalog.

- 51 Want to read
- 15 Currently reading

Published
**1973**
by M. Dekker in New York
.

Written in English

- Control theory.,
- Parameter estimation.

**Edition Notes**

Includes bibliographical references.

Statement | [by] Jerry M. Mendel. |

Series | Control theory, v. 1 |

Classifications | |
---|---|

LC Classifications | QA402.3 .M397 |

The Physical Object | |

Pagination | xiv, 385 p. |

Number of Pages | 385 |

ID Numbers | |

Open Library | OL5296177M |

ISBN 10 | 0824714555 |

LC Control Number | 72076062 |

This article presents new techniques for parameter identification for nonlinear dynamical discrete-time systems. The methods presented are intended to improve the performance of adaptive control systems such as RTO schemes and adaptive extremum-seeking systems. Using recent results on FT adaptive control, we develop alternative techniques that can be used to guarantee the convergence of Author: Martin Guay, Veronica Adetola, Darryl DeHaan. Item Response Theory: Parameter Estimation Techniques, Second Edition - CRC Press Book Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or .

Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under various IRT models. Extensively revised and expanded, this edition offers three new chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item . The latest techniques for classification and supervised learning, with an emphasis on Neural Network, Genetic State Estimation and other particle filter and AI state estimation methods; All new coverage of the Adaboost and its implementation in PRTools5.

Linear discrete inverse Problems (parameter estimation) Least squares and all that. 2 Least squares problems Least squares is the basis of many parameter estimation and data fitting procedures. A concise tutorial can be found in Chapter 15 of the book Numerical . Purchase Identification and System Parameter Estimation - 1st Edition. Print Book & E-Book. ISBN , Book Edition: 1.

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Parameter Estimation by Parameter Signature Isolation in the Time-Scale Domain J. Dyn. Sys., Meas., Control (July, ) Identification of Armax Models With Time Dependent CoefficientsCited by: Additional Physical Format: Online version: Mendel, Jerry M., Discrete techniques of parameter estimation.

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