Genetic Algorithms for Control and Signal Processing, Kim F. Man; Kit Sang Tang; Sam Kwong
Автор: Jamshidi Название: Robust Control Systems with Genetic Algorithms ISBN: 0849312515 ISBN-13(EAN): 9780849312519 Издательство: Taylor&Francis Рейтинг: Цена: 15312.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Links genetic algorithms (GAs) and the design of robust control systems. Laying a foundation in the basics of GAs and genetic programming, this work demonstrates the power of these tools for developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure control.
Описание: This book discusses problems concerning the design and realization of digital control algorithms for power electronics circuits using digital signal processing (DSP) methods. It includes Matlab examples for illustration of considered problems.
Описание: This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient.
Автор: Oleg Granichin; Zeev (Vladimir) Volkovich; Dvora T Название: Randomized Algorithms in Automatic Control and Data Mining ISBN: 3642547850 ISBN-13(EAN): 9783642547850 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues.
Автор: K.J. Astr?m; G.C. Goodwin; P.R. Kumar Название: Adaptive Control, Filtering, and Signal Processing ISBN: 0387979883 ISBN-13(EAN): 9780387979885 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The area of adaptive systems encompasses recursive identification, adaptive control, filtering, and signal processing. Since adaptive controllers are fundamentally nonlinear controllers which are applied to nominally linear, possibly stochastic and time-varying systems, their theoretical analysis is usually very difficult.
Описание: This volume contains articles by invited speakers for the symposium on Systems, Control, and Signal Processing to celebrate the sixtieth birthday of Yutaka Yamamoto in Kyoto University on March 29-31, 2010.
Автор: Arie Feuer; Graham Goodwin Название: Sampling in Digital Signal Processing and Control ISBN: 1461275466 ISBN-13(EAN): 9781461275466 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Virtually every advanced engi- neering system we come in contact with these days depends upon some form of sampling and digital signal processing. Our observation of the existing literature is that the underlying continuous-time system is usually forgotten once the samples are tak- en.
Автор: Keith Godfrey; Peter Jones Название: Signal Processing for Control ISBN: 3540165118 ISBN-13(EAN): 9783540165118 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Yuly M. Pulyer; C.S. Burrus Название: Electromagnetic Devices for Motion Control and Signal Processing ISBN: 146127723X ISBN-13(EAN): 9781461277231 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is dedicated to electrical and mechanical engineers involved with the design of magnetic devices for motion con- trol and other instrumentation that uses magnetic principles and technology. It can be of benefit to graduate and postgrad- uate students to gain experience with electro-magnetic princi- ples and also with different aspects of magnetic coupling mech- anisms and magnetic circuitry analysis for the design of devices such as electrical servo motors, tachogenerators, encoders, gyro- magnetic suspension systems, electro-magnetic strip lines, and other electro-magnetic instruments. The rapidly growing areas of production automation, robotics, precise micro-electronics, and pilot navigation place demands on motion control technology in terms of accuracy, reliability, cost effectiveness, and miniaturization. New ferromagnetic materials having quasi-linear and non-linear high-squareness characteris- tics as well as high-energy permanent magnets, fine lithography, and high-t.emperature superconductivit.y (t.o be expected com- mercially) motivate the implementation of new motion control components that exploit these new materials and technologies. This book presents classical miniature electrical machine de- signs as well as several modifications in the geometry of mag- netic couplings which lead to new motor and encoder design methodologies and other motion control devices such as new coil deposition patterns for incremental and absolute encoders, free spherical gyro suspension in a traveling magnetic field for navigation instrumentation, and magnetic strip lines in combi- nation with resistive and capacitive media to generate a variety of low-noise LC filters and other signal processing devices.
Автор: K.J. Astr?m; G.C. Goodwin; P.R. Kumar Название: Adaptive Control, Filtering, and Signal Processing ISBN: 1461264391 ISBN-13(EAN): 9781461264392 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The area of adaptive systems, which encompasses recursive identification, adaptive control, filtering, and signal processing, has been one of the most active areas of the past decade.
Автор: Muhammet ?nal; Ay?a Ak; Vedat Topuz; Hasan Erdal Название: Optimization of PID Controllers Using Ant Colony and Genetic Algorithms ISBN: 3642434770 ISBN-13(EAN): 9783642434778 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the theory behind artificial neural networks, genetic algorithms and the ant colony optimization algorithm, and presents a novel real time control algorithm using genetic and ant colony optimization algorithms for optimizing PID controllers.
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