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Development of an automated guidance and dynamic measurement system for coordinate measuring machines and robotic devicesLau, Kam Chiu. January 1900 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1981. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 185-187).
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Transient response analysis of a class of continuous non-linear time-varying automatic control systems by functional techniques and multidimensional Laplace transformsRidings, Richard Vincent, January 1967 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1967. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.
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An exhaustive study of the utilization of Walsh functions in automatic control system theory and applicationsShabtaie, Khosro. January 1981 (has links)
Thesis (M.S.)--University of Wisconsin--Madison, 1981. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes chiefly bibliographical references.
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Analysis and synthesis of linear time-varying automatic control systemsD'Angelo, Henry, January 1964 (has links)
Thesis (Ph. D.)--University of Wisconsin, 1964. / Typescript. Abstracted in Dissertation abstracts, v. 25 (1964) no. 6, p. 3478-3479. Vita. eContent provider-neutral record in process. Description based on print version record. Bibliography: leaves 378-405.
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Distributed computing for advanced levels of machinery controlDuffie, Neil Arthur, January 1980 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1980. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 244-251).
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Comparison of measurement database with CNC part programming database for automated quality assuranceSchneeberger, Juerg. January 1982 (has links)
Thesis (M.S.)--University of Wisconsin--Madison, 1982. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 91-92).
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Optimal design of automatic control systems by use of dynamic programming techniquesFang, Yang, January 1959 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1959. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 108-113).
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Design and FPGA implementation of a log-domain high-speed fuzzy control systemRazib, Md. Ali. January 2010 (has links)
Thesis (M.Sc.)--University of Alberta, 2010. / Title from PDF file main screen (viewed on July 7, 2010). A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering and Intelligent Systems, [Department of] Electrical and Computer Engineering, University of Alberta. Includes bibliographical references.
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Formal verification of computer controlled systemsHarutunian, Shant, January 1900 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 2007. / Vita. Includes bibliographical references.
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The application of neural networks in active suspensionFairgrieve, Andrew January 2003 (has links)
This thesis considers the application of neural networks to automotive suspension systems. In particular their ability to learn non-linear feedback control relationships. The speed of processing, once trained, means that neural networks open up new opportunities and allow increased complexity in the control strategies employed. The suitability of neural networks for this task is demonstrated here using multilayer perceptron, (MLP) feed forward neural networks applied to a quarter vehicle simulation model. Initially neural networks are trained from a training data set created using a non-linear optimal control strategy, the complexity of which prohibits its direct use. They are shown to be successful in learning the relationship between the current system states and the optimal control.
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