Friction appears in the bearings and reduction gear of controlled electrical drives and affects the quality of the position, speed or force control. The servosystem performance can be improved by implementation of acc...
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Friction appears in the bearings and reduction gear of controlled electrical drives and affects the quality of the position, speed or force control. The servosystem performance can be improved by implementation of acceleration feedback. For the reason that acceleration measurement is often either not possible or practical, the implementation of acceleration estimation by an observer or differentiation of speed is proposed. Another approach to friction influence compensation is based on the disturbance observer. Its advantage is that it can be applied generally to the estimation of various disturbances. This paper deals with these friction compensation methods which are not based on friction model, but on the compensation of friction as a disturbance. The efficiency of these methods in a servodrive with Stribeck friction is compared by computer simulation and experimentally on a servosystem laboratory model.
This paper describes B-spline interpolation and compares it with other reconstruction methods, especially in three-dimensional space. We first consider the B-spline bases in the terms of convolution in signal processi...
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This paper describes B-spline interpolation and compares it with other reconstruction methods, especially in three-dimensional space. We first consider the B-spline bases in the terms of convolution in signal processing. The presented analysis requires careful usage of continuous and discrete representation of B-spline. Emphasis is given to the important difference between B-spline interpolation and approximation. The difference is shown through frequency domain analysis, so we derive frequency responses of the B-spline interpolation and approximation. We conclude by demonstrating the use of several reconstruction filters and appropriate gradient estimators in volume rendering. Exact reconstruction in volume visualization is very important in many industrial applications, such as material cavity control.
In this paper the robust fault detection and isolation (FDI) problem in linear systems, which are subjected to multiple faults and time varying system perturbations is discussed. The detection and isolation problem is...
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In this paper the robust fault detection and isolation (FDI) problem in linear systems, which are subjected to multiple faults and time varying system perturbations is discussed. The detection and isolation problem is treated by using algebraic methods and geometric design concepts. The idea of the classical Luenberger observer is generalized in an attempt that residual generators for solving the robust FDI problem can be designed.
The volume data is generally in the form of the large array of numbers. In order to render the object hidden in the volumetric data, we need to reconstruct or interpolate data values between the samples. The novelty p...
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The volume data is generally in the form of the large array of numbers. In order to render the object hidden in the volumetric data, we need to reconstruct or interpolate data values between the samples. The novelty presented in this paper is B-spline interpolation in the volumetric space. We show that this approach is better than currently used methods. We also present a hybrid approach, analyze this approach in frequency domain and compare it to B-spline interpolation. To enhance the quality during the volume visualization process it is important to enhance the quality of the reconstruction. It is of crucial importance to explore different undesired effects. If better reconstruction is performed the more accurate result of volume visualization process is achieved.
The role of structural invariants in the solutions of classical linear control problems when regular state feedback is used is enhanced. The structural modification that arise when these problems are extended to the c...
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A synthesis of the two major approaches to linear control system design, namely the state-space and the transfer-function ones, can be achieved by use of dynamics assignment, a convenient reference design problem. Stu...
A synthesis of the two major approaches to linear control system design, namely the state-space and the transfer-function ones, can be achieved by use of dynamics assignment, a convenient reference design problem. Students, teachers, and researchers can all benefit from a deeper understanding of the relationships between these two approaches.
A synthesis of the two major approaches to linear control system design, namely the state-space and the transfer-function ones, can be achieved by use of dynamics assignment, a convenient reference design problem. Stu...
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A synthesis of the two major approaches to linear control system design, namely the state-space and the transfer-function ones, can be achieved by use of dynamics assignment, a convenient reference design problem. Students, teachers, and researchers can all benefit from a deeper understanding of the relationships between these two approaches.
Discrete-time symmetric polynomial equations with complex coefficients are studied in the scalar and matrix case. New theoretical results are derived and several resolution algorithms ares proposed and evaluated. The ...
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Discrete-time symmetric polynomial equations with complex coefficients are studied in the scalar and matrix case. New theoretical results are derived and several resolution algorithms ares proposed and evaluated. The algorithms are implemented in the Polynomial Toolbox for Matlab.
The linear equation AX + BY = C is studied, where A , B , and C are given polynomial matrices such that A −1 B is a strictly proper rational matrix. All polynomial matrix solution pairs X , Y such that YX −1 is a prop...
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The linear equation AX + BY = C is studied, where A , B , and C are given polynomial matrices such that A −1 B is a strictly proper rational matrix. All polynomial matrix solution pairs X , Y such that YX −1 is a proper rational matrix are parametrized. The study is motivated by the polo placement techniques in the design of linear control systems.
This paper introduces the real-time digital identification of nonlinear dynamical processes whose structure and parameters are not known exactly. On the basis of recorded input-output pairs of SISO measurements incorp...
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This paper introduces the real-time digital identification of nonlinear dynamical processes whose structure and parameters are not known exactly. On the basis of recorded input-output pairs of SISO measurements incorporating an additive output noise of stochastic nature the process is linearized and modelled by a second-order lumped parameters representation. The instrumental variable techniques are used as estimators for such processes, and recursive approximations are used to make the IV estimators computationally efficient. The identification performances are presented by simulating two realistic systems, which represent the human blood glucose metabolism, using a notebook computer.
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