Identification, Adaptation, Learning, Sergio Bittanti; Giorgio Picci
Автор: Lilly Название: Fuzzy Control and Identification ISBN: 0470542772 ISBN-13(EAN): 9780470542774 Издательство: Wiley Рейтинг: Цена: 16782.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A fuzzy control system is a control system based on fuzzy logic, which is a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1. This text provides a broad introduction to fuzzy control and identification, covering both Mamdani and Takagi-Sugeno fuzzy systems.
Автор: Sergio Bittanti; Giorgio Picci Название: Identification, Adaptation, Learning ISBN: 3642082483 ISBN-13(EAN): 9783642082481 Издательство: Springer Рейтинг: Цена: 38992.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Liu Tao Название: Industrial Process Identification and Control Design ISBN: 1447160169 ISBN-13(EAN): 9781447160168 Издательство: Springer Рейтинг: Цена: 22201.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is devoted to advanced identification and control methods for the operation of continuous-time processes, both with and without time delay, in industrial and chemical engineering practice. Methods are well illustrated by practical examples.
Описание: people performing tests on soft tissues will learn what to extract from the data and how to use these data for their models and people worried about the complexity of the biomechanical behavior of soft tissues will find relevant approaches to address this complexity.
Автор: A. Ravishankar Rao Название: A Taxonomy for Texture Description and Identification ISBN: 1461397790 ISBN-13(EAN): 9781461397793 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The symbolic de- scription scheme consists of a novel taxonomy for textures, and is based on appropriate mathematical models for different kinds of texture. Disordered textures are described by statistical mea- sures, strongly ordered textures by the placement of primitives, and weakly ordered textures by an orientation field.
Автор: Tokunbo Ogunfunmi Название: Adaptive Nonlinear System Identification ISBN: 1441938834 ISBN-13(EAN): 9781441938831 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focuses on System Identification applications of the adaptive methods presented. but which can also be applied to other applications of adaptive nonlinear processes. Covers recent research results in the area of adaptive nonlinear system identification from the authors and other researchers in the field.
Описание: Algebraic Identification and Estimation Methods in Feedback Control Systems presents a model-based algebraic approach to online parameter and state estimation in uncertain dynamic feedback control systems.
This work is motivated by the ongoing open question of how information in the outside world is represented and processed by the brain. Consequently, several novel methods are developed.
A new mathematical formulation is proposed for the encoding and decoding of analog signals using integrate-and-fire neuron models. Based on this formulation, a novel algorithm, significantly faster than the state-of-the-art method, is proposed for reconstructing the input of the neuron.
Two new identification methods are proposed for neural circuits comprising a filter in series with a spiking neuron model. These methods reduce the number of assumptions made by the state-of-the-art identification framework, allowing for a wider range of models of sensory processing circuits to be inferred directly from input-output observations.
A third contribution is an algorithm that computes the spike time sequence generated by an integrate-and-fire neuron model in response to the output of a linear filter, given the input of the filter encoded with the same neuron model.
Автор: N.K. Sinha; G.P. Rao Название: Identification of Continuous-Time Systems ISBN: 0792313364 ISBN-13(EAN): 9780792313366 Издательство: Springer Рейтинг: Цена: 43100.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Tohru Katayama Название: Subspace Methods for System Identification ISBN: 1849969884 ISBN-13(EAN): 9781849969888 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results, this text is structured into three parts.Part I deals with the mathematical preliminaries: numerical linear algebra;
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
