大葉大學圖書館 |

Iterative learning control[electronic resource] :an optimization paradigm /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	629.8
書名/作者:	Iterative learning control : an optimization paradigm // by David H. Owens.
作者:	Owens, David H.
出版者:	London : : Springer London :, 2016.
面頁冊數:	xxviii, 456 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Intelligent control systems.
標題:	Engineering.
標題:	Control.
標題:	Systems Theory, Control.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Machinery and Machine Elements.
標題:	Robotics and Automation.
ISBN:	9781447167723
ISBN:	9781447167709
摘要、提要註:	This book develops a coherent theoretical approach to algorithm design for iterative learning control based on the use of optimization concepts. Concentrating initially on linear, discrete-time systems, the author gives the reader access to theories based on either signal or parameter optimization. Although the two approaches are shown to be related in a formal mathematical sense, the text presents them separately because their relevant algorithm design issues are distinct and give rise to different performance capabilities. Together with algorithm design, the text demonstrates that there are new algorithms that are capable of incorporating input and output constraints, enable the algorithm to reconfigure systematically in order to meet the requirements of different reference signals and also to support new algorithms for local convergence of nonlinear iterative control. Simulation and application studies are used to illustrate algorithm properties and performance in systems like gantry robots and other electromechanical and/or mechanical systems. Iterative Learning Control will interest academics and graduate students working in control who will find it a useful reference to the current status of a powerful and increasingly popular method of control. The depth of background theory and links to practical systems will be of use to engineers responsible for precision repetitive processes. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
電子資源:	http://dx.doi.org/10.1007/978-1-4471-6772-3

Iterative learning control[electronic resource] :an optimization paradigm /
Owens, David H.

Iterative learning controlan optimization paradigm /[electronic resource] :by David H. Owens. - London :Springer London :2016. - xxviii, 456 p. :ill., digital ;24 cm. - Advances in industrial control,1430-9491. - Advances in industrial control..

This book develops a coherent theoretical approach to algorithm design for iterative learning control based on the use of optimization concepts. Concentrating initially on linear, discrete-time systems, the author gives the reader access to theories based on either signal or parameter optimization. Although the two approaches are shown to be related in a formal mathematical sense, the text presents them separately because their relevant algorithm design issues are distinct and give rise to different performance capabilities. Together with algorithm design, the text demonstrates that there are new algorithms that are capable of incorporating input and output constraints, enable the algorithm to reconfigure systematically in order to meet the requirements of different reference signals and also to support new algorithms for local convergence of nonlinear iterative control. Simulation and application studies are used to illustrate algorithm properties and performance in systems like gantry robots and other electromechanical and/or mechanical systems. Iterative Learning Control will interest academics and graduate students working in control who will find it a useful reference to the current status of a powerful and increasingly popular method of control. The depth of background theory and links to practical systems will be of use to engineers responsible for precision repetitive processes. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

ISBN: 9781447167723

Standard No.: 10.1007/978-1-4471-6772-3doiSubjects--Topical Terms:

184990
Intelligent control systems.

LC Class. No.: TJ217.5

Dewey Class. No.: 629.8

Iterative learning control[electronic resource] :an optimization paradigm /
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