This paper gives new results on the design and experimental evaluation of an Iterative Learning control (ILC) law in a repetitive process setting. The experimental results given are from a gantry robot facility that h...
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This paper gives new results on the design and experimental evaluation of an Iterative Learning control (ILC) law in a repetitive process setting. The experimental results given are from a gantry robot facility that has been extensively used in the benchmarking of linear model based ILC designs. An example is also given to demonstrate that this new design offers much superior performance in comparison to some previous designs based on the Roesser model for 2D linear systems.
In paper a system for road surface defects detection is presented. Traditional approaches use human eye or specialized hardware to evaluate quality of the road. There are also systems known basing on mobile sensors ne...
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This paper presents some observations of data packet delaying in a real productive industrial telemetry system. It introduces the statistical analysis of measured Round Trip Time (RTT) values of used Internet control ...
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Expressing user's preferences in database querying is best achieved by fuzzy modeling of linguistic terms included in selection criteria. This paper deals with temporal criteria, for querying date/time columns in ...
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Expressing user's preferences in database querying is best achieved by fuzzy modeling of linguistic terms included in selection criteria. This paper deals with temporal criteria, for querying date/time columns in classical relational databases. Fuzzy models for some linguistic terms and ways to operate with them, in order to evaluate queries, are proposed.
Today efforts are made to answer to problems regarding an advanced design of electrical machines in accord with global demarche for optimization. Optimal design of asynchronous motors is a process of selection with fu...
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Today efforts are made to answer to problems regarding an advanced design of electrical machines in accord with global demarche for optimization. Optimal design of asynchronous motors is a process of selection with fulfillment of criteria or specific conditions. In such way the current problems of manufacturers of electrical machines regard reduction of specific consumption of energy, obtaining superior operating characteristics, and perspective to diminish operational expenses. The paper analyzes, based on advanced numerical methods, all constructive dimensions and determine their influence on total cost for medium power asynchronous motors. The results of simulations performed, bring necessary quantitative and qualitative information to define the optimal constructive solution, taking into account also restrictive conditions imposed by beneficiary. For final variant of motor, thru a correct choice of constructive dimensions, it obtains an increase of startup torque, keeping the total cost and startup current between imposed limits.
The human experience in the analysis of the handwriting of male and female writers indicates that gender affects the appearance of the handwritten text. These differences are usually very difficult to describe numeric...
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ISBN:
(纸本)9781467348751
The human experience in the analysis of the handwriting of male and female writers indicates that gender affects the appearance of the handwritten text. These differences are usually very difficult to describe numerically. In order to analyze the handwriting differences between male and female writers, several shape description techniques, such as the tangent angle function, curvature function and Fourier descriptors, were used in this paper. As an additional contribution of the paper, a database of 3766 off-line handwritten cursive and capitalized written words has been created. The database consists of male and female handwriting samples, classified by gender and handedness. The experimental results show that typical attributes of male and female handwritings imply certain differences in shape decriptors, and those differences have the potential for usage in gender handwriting discrimination.
The fault detection and isolation problem is studied for a class of nonlinear systems. Under structural conditions, a bank of High-Order Sliding-Mode observers is proposed. The value of the equivalent output injection...
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The fault detection and isolation problem is studied for a class of nonlinear systems. Under structural conditions, a bank of High-Order Sliding-Mode observers is proposed. The value of the equivalent output injection is used for detecting and isolating particular faults in the system. The proposed method provides finite-time isolation of actuator and plant faults. Simulation results support the proposed approach.
The problem of simultaneous estimation of the continuous and discrete state with additive faults in linear switched systems is addressed. Under mild structural conditions a robust estimator is designed to solve the pr...
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The problem of simultaneous estimation of the continuous and discrete state with additive faults in linear switched systems is addressed. Under mild structural conditions a robust estimator is designed to solve the problem. The proposed strategy includes a technique for fault detection. Simulation results support the proposed estimation scheme.
The continuous and discrete state estimation problem in linear switched systems with unknown inputs and unstable internal dynamics is addressed. A robust observer based on High-Order Sliding-Mode is proposed to solve ...
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The continuous and discrete state estimation problem in linear switched systems with unknown inputs and unstable internal dynamics is addressed. A robust observer based on High-Order Sliding-Mode is proposed to solve the problem under mild structural conditions. Simulation results support the proposed estimation approach.
In this paper we describe use of cloud computing platform for support of distributed creation of conceptual models based on the FCA (Formal Concept Analysis) framework. FCA is one of the approaches which can be applie...
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In this paper we describe use of cloud computing platform for support of distributed creation of conceptual models based on the FCA (Formal Concept Analysis) framework. FCA is one of the approaches which can be applied in process of conceptual data analysis. Extension of classical FCA (binary table data) is (one-sided) fuzzy version that works with different types of lattice-based attributes (binary, ordinal, interval-based, etc.) in the object-attribute table. This extension, so-called generalized one-sided concept lattices, provide possibility for researcher or data analyzer to use fuzzy FCA for object-attribute tables without the need for specific unified pre-processing, what is usually expected in practical data mining or online analytical tools. Computational complexity of creation of concept lattices from large contexts (data tables) is considerable, also interpretability of huge concept lattices is problematic. Therefore, we will also propose a solution for creation of simple hierarchy of smaller FCA models. Starting data table is decomposed into smaller sets of objects and then one concept lattice is built for every subset using generalized one-sided concept lattice. Such small FCA-based models are better for interpretability, and also can be combined into one hierarchy of models using simple hierarchical clustering based on the descriptions of particular models (as weighted vectors of attributes), which can be searched in analytical tool by data analyst. Cloud infrastructure is then used for increase of computational effectiveness, because particular models are built in parallel/distributed way. This cloud module can be a part of more complex data analytical system, which is also presented at the end of the paper.
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