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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Covergence and adaptation in online kernal methods

Phonphitakchai, Supawan January 2007 (has links)
Learning System is a method to approximate an underlying function from a finite observation data. Although the batch solution has been widely used to investigate the approximation function, it provides the disadvantage in terms of computational expensive. Online solution increases the importance as it performs a better ability in handling large, realife training data. The problem of investigating the approximation function is posed on reproducing kernel Hilbert spaces (RKHS) as the hypothesis space. RKHS provides a natural framework when some unknown function is estimated using a finite observation data. Solving for the approximation function is achieved by minimising a regularised risk functional where a regularisation parameter is taken into account to prevent the ill-posed condition. The solution of online minimisation is provided based on the iterative method called stochastic gradient descent (SOD).

Process comprehension for interoperable CNC manufacturing

Zhang, Xianzhi January 2012 (has links)
Over the last 40 years manufacturing industry has enjoyed a rapid growth with the support of various computer-aided systems (CAD, CAPP, CAM etc.) known as CAx. Since the first Numerically Controlled (NC) machine appeared in 1952, there have been many advances in CAx resource capabilities. The information integration and interoperability between different manufacturing resources has become an important and popular research area over the last decade. Computer Numerically Controlled (CNC) machines are an important link in the manufacturing chain and the major contributor to the production capacity of manufacturing industry today. However, most of the research has focused on the information integration of upper systems in the CAD/CAPP /CAM/CNC manufacturing chain, leaving the shop floor as an isolated information island. In particular, there is limited opportunity to capture and feed shopfloor knowledge back to the upper systems. Furthermore, the part programs for the machines are not exchangeable due to the. machine specific postprocessors. Thus there is a further need to consider information interoperability between different CNC machine and other systems. This research investigates the reverse transformation of the CNC part programmes into higher level of process information, entitled process comprehension, to enable the shopfloor interoperability. A novel framework of universal process comprehension is specified and designed. The framework provides a reverse direction of information flow from the CNC machine to upper CAx systems, enabling the interoperability and recycling of the shopfloor knowledge. A prototype implementation of the framework is realised and utilised to demonstrate the functionalities through three industrially inspired test components. The major contribution of this research to knowledge is the new vision of the shopfloor interoperability associated with process knowledge capture and reuse. The research shows that process comprehension of part programmes can provide an effective solution to the issues of the shopfloor interoperability and knowledge reuse in manufacturing industries.

Information management, condition monitoring and control of power systems over internet protocol networks

Buse, D. P. January 2003 (has links)
No description available.

Analysis and design of classes of hybrid control systems

Haris, Sullehuddin Mohamed January 2005 (has links)
No description available.

Control synthesis and optimization of hybrid systems

Pang, Yan January 2004 (has links)
No description available.

State and parameter estimation for vehicle dynamic control

Wenzel, Thomas A. January 2005 (has links)
No description available.

Adaptive speed control of electric drives using neural networks

El-balluq, Tariq Nuri January 2004 (has links)
No description available.

A rational methodology for designing behaviour based systems for safety related applications

Harper, Christopher John January 2004 (has links)
No description available.

Minimum effort active noise control with feedback inclusion architecture

Raja Ahmad, Raja Mohd Kamil January 2006 (has links)
No description available.

Linear and affine typing of continuation-passing style

Berdine, Joshua James January 2005 (has links)
No description available.

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