This paper focuses on the nano-scale analysis of the mechanical properties of polymer and carbon nanotubes (CNT) embedded MEMS devices using the probe tip of the atomic force microscope (AFM).The mechanical properties...
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This paper focuses on the nano-scale analysis of the mechanical properties of polymer and carbon nanotubes (CNT) embedded MEMS devices using the probe tip of the atomic force microscope (AFM).The mechanical properties of the surfaces of layered materials were investigated by using nanoindentation produced with the tips of an AFM. Experiment results indicated the bending characteristics of the device and also the Young's modulus of the CNT embedded micro structure. Our objective was to determine the nano-scale mechanical properties and piezoresistivity of bulk carbon nanotubes using the local probe manipulation.
The theory of self-concordant barriers was introduced by Nesterov and Nemirovskii (1994) in the context of interior-point methods for convex optimisation. Their development is general, elegant and enjoys widespread im...
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The theory of self-concordant barriers was introduced by Nesterov and Nemirovskii (1994) in the context of interior-point methods for convex optimisation. Their development is general, elegant and enjoys widespread implementation in state-of-the-art algorithms. In this paper we exploit the theory of self-concordant functions with application to nonlinear MPC. In particular we construct an invariant terminal constraint set via properties of self-concordant functions. We also extend earlier results on recent red barrier function MPC to nonlinear MPC (model predictive control) with state constraints. We show nominal closed-loop stability for a wide class of nonlinear systems under full state feedback.
The Self-Organizing Map (SOM) is an efficient tool for visualizing high-dimensional data. In this paper, an intuitive and effective SOM projection method is proposed for mapping high-dimensional data onto the two-dime...
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The Self-Organizing Map (SOM) is an efficient tool for visualizing high-dimensional data. In this paper, an intuitive and effective SOM projection method is proposed for mapping high-dimensional data onto the two-dimensional grid structure with a growing self-organizing mechanism. In the learning phase, a growing SOM is trained and the growing cell structure is used as the baseline framework. In the ordination phase, the new projection method is used to map the input vector so that the input data is mapped to the structure of the SOM without having to plot the weight values, resulting in easy visualization of the data. The projection method is demonstrated on four different data sets, including a 118 patent data set and a 399 checical abstract data set related to polymer cements, with promising results and a significantly reduced network size.
Traditional Substation automation/integration systems involve huge numbers of man-hours to commission and maintain, even for similar systems. Using object-oriented technologies can reduced this commissioning time by a...
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ISBN:
(纸本)0780381106
Traditional Substation automation/integration systems involve huge numbers of man-hours to commission and maintain, even for similar systems. Using object-oriented technologies can reduced this commissioning time by around 80%. This has been demonstrated by field experience. The real time information processing objects are composed of interaction-GUI parameters, real-time data, and functional processing. The defined objects-classes can be re-used among all the projects. Commissioning a new project is just to create instances of classes by "drag and drop". No more individual point/tag definition or verification is needed. These steps were done once when class was created. Changes made to class will change all its instances automatically. The classes can be inherited from, referred to, and embedded into others classes. Simple naming convention. makes data usage instances link to data source instances automatically.
The introduction of product quality self-regulation to food-cooking extrusion is an important aspect of process control within food manufacturing industries. In order to design an automatic control system for product ...
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This paper presents a review of recent research efforts in the field of the application of neural and fuzzy networks in the control of unmanned underwater vehicles (UUV). A classification for UUV control architectures...
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This paper presents a review of recent research efforts in the field of the application of neural and fuzzy networks in the control of unmanned underwater vehicles (UUV). A classification for UUV control architectures using AI techniques is presented and consecutively used to categorise the approaches found in the literature. Several projects are discussed in detailand each control strategy is categorized as per the presented framework. Based on practical results from those projects, as reported in the literature, a qualitative assessment regarding the performance of the control strategies is given. Their advantages and disadvantages are identified and discussed. Basedon the authors' observations, possible future trends are identified.
New developments in computer networks and communications provide new possibilities for control purposes. controlsystems for highly complex plants are themselves very complex and heterogeneous. A new software infrastr...
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Repetitive processes are a distinct class of 2D systems of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard or 2D systems theo...
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A nonlinear optimization-based identification procedure for fully parameterized multivariable state-space models is presented. The method can be used to identify linear time-invariant, linear parameter-varying, compos...
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