The paper presents a new numerical integration routine BGKODE_DSP. This routine is based on BGKODE routine, which forms a practical application of the Kroghpsilas algorithm. BGKODE_DSP routine realizes the predictor-c...
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The paper presents a new numerical integration routine BGKODE_DSP. This routine is based on BGKODE routine, which forms a practical application of the Kroghpsilas algorithm. BGKODE_DSP routine realizes the predictor-corrector method and has been simplified to ensure its applicability in real time systems. The results of the comparison between the selected common numerical integration methods and the new routine is presented. The scope of this research also involves the range of accuracy of the solution resulting from the shorter computation time. Experiments have been carried out on experimental drive system with induction motor with the use of DTC method.
The aim of this paper is an attempt of the simulation of the electromechanical systems with the use of the programming tools included in the modern graphical packages or graphical extensions to the programming languag...
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The aim of this paper is an attempt of the simulation of the electromechanical systems with the use of the programming tools included in the modern graphical packages or graphical extensions to the programming languages. The advantage of such approach lies in possibility of the simultaneous high quality visualization of the currently obtained results. The possibilities of new graphical packages enable making calculations on the Web platform - it is new and very interesting idea. The proposed solutions can be used both to the educational and presentation tasks.
The common approach for the design of an error correction system is first to construct a code and then to define the hardware structure of the encoder and decoder. However, in the case of LDPC codes (low-density parit...
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ISBN:
(纸本)9781424421336
The common approach for the design of an error correction system is first to construct a code and then to define the hardware structure of the encoder and decoder. However, in the case of LDPC codes (low-density parity-check) such a constructed code is generally not well suited for a hardware implementation. It has been recognized that the code construction and hardware design must be considered jointly to facilitate LDPC decoder and encoder implementation. In this paper, an efficient decoder structure for regular and irregular LDPC codes, based on TDMP (turbo-decoding message passing) scheme is designed first. The decoder has been implemented and verified in an FPGA device. Constraints for the parity check matrix of a code to be suitable for the decoder architecture are defined. Then an algorithm for LDPC parity check matrix construction subject to these constraints is presented. The algorithm aims at improving performance of the code in the low SNR region by employing irregular codes as well as in high SNR region by reducing the number of small Stopping Sets and Trapping Sets in the Tanner graph of the code making use of a computer search technique.
作者：
Maciej NiedzwieckiFaculty of Electronics
Telecommunications and Computer Science Department of Automatic Control Gdańsk University of Technology GdaDsk Poland
The problem of extraction/elimination of nonstationary sinusoidal signals from noisy measurements is considered. This problem is usually solved using adaptive notch filtering (ANF) algorithms. It is shown that the acc...
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The problem of extraction/elimination of nonstationary sinusoidal signals from noisy measurements is considered. This problem is usually solved using adaptive notch filtering (ANF) algorithms. It is shown that the accuracy of frequency estimates can be significantly increased if the results obtained from ANF are backward-time filtered by an appropriately designed lowpass filter. The resulting adaptive notch smoothing (ANS) algorithm can be employed to perform many off-line signal processing tasks, such as elimination of sinusoidal interference from a prerecorded signal. In the single sinusoid case, we show that when the unknown signal frequency drifts according to the random-walk model, the optimally tuned ANS algorithm is, under Gaussian assumptions, statistically efficient, i.e., it attains the Cramer-Rao type lower smoothing bound, which limits accuracy of any frequency estimation scheme.
The problem of rejection of a sinusoidal disturbance of known frequency, acting at the output of a discrete-time complex-valued linear stable plant with unknown dynamics, is considered. It is assumed that output signa...
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The problem of rejection of a sinusoidal disturbance of known frequency, acting at the output of a discrete-time complex-valued linear stable plant with unknown dynamics, is considered. It is assumed that output signal is contaminated with wideband measurement noise. The paper presents convergence and tracking analysis of a new narrow-band disturbance elimination scheme described recently. It is shown that the proposed adaptive feedback regulator converges locally in the mean to the optimal (minimum-variance) regulator. It is also shown that it has very good robustness properties.
The paper presents a new approach to rejection of sinusoidal disturbances acting at the output of a discrete-time linear stable plant with unknown dynamics. It is assumed that frequency of the sinusoidal disturbance i...
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The paper presents a new approach to rejection of sinusoidal disturbances acting at the output of a discrete-time linear stable plant with unknown dynamics. It is assumed that frequency of the sinusoidal disturbance is known, and that the output signal is contaminated with wideband measurement noise. It is not assumed that a reference signal, correlated with the disturbance, is available. The proposed solution combines the coefficient fixing technique, used to ¿robustify¿ self-tuning minimum-variance regulators, with automatic adaptation gain tuning. Simulation experiments confirm that, under Gaussian assumptions, the closed-loop system converges in the mean to the optimal one.
The paper presents mathematical developments that support new design techniques for constrained stabilization of linear systems. The constraints can operate on (i) state variables, (ii) state variables and feedback ma...
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The paper presents mathematical developments that support new design techniques for constrained stabilization of linear systems. The constraints can operate on (i) state variables, (ii) state variables and feedback matrix gain, or (iii) state variables and control actions. The state variable constraints in (i) - (iii) exploit the properties of a particular type of stability called componentwise exponential asymptotic stability (CWEAS) that ensures the individual monitoring of each state variable for the entire evolution of the system. The synthesis procedures are formulated as linear programming problems, with robust numerical tractability that ensures a large applicability in practice.
The paper presents the application of the Cole-Cole model for determining the runs of the return voltage of the paper-oil insulation sample through a computer simulation. Different insulation conditions were simulated...
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The paper presents the application of the Cole-Cole model for determining the runs of the return voltage of the paper-oil insulation sample through a computer simulation. Different insulation conditions were simulated through an adequate selection of parameters alpha and tau of the Cole-Cole model. For calculation purposes, a series-parallel substitute scheme, obtained through approximation of a discrete characteristic operator impedance Z a of the model applied, was used. The diagnostics of the simulated insulation condition was based on the analysis of a few selected parameters of the return voltage, obtained from time characteristics.
In this paper we had to study some characteristics of the chemical reactors, from which we can understand the reactor operation in different circumstances; from these and the most important factor that has a great eff...
In this paper we had to study some characteristics of the chemical reactors, from which we can understand the reactor operation in different circumstances; from these and the most important factor that has a great effect on the reactor operation is the temperature, it is a mathematical processing of a chemical problem that was already studied, but it may be developed by introducing new strategies of control; in our case we deal with the analysis of a liquid‐gas reactor which can make the flotation of the benzene to produce the ethylene; this type of reactors can be used in vast domains of the chemical industry, especially in refinery plants where we find the oil separation and its extractions whether they are gases or liquids which become necessary for industrial technology, especially in our century.
作者：
Maciej NiedźwieckiFaculty of Electronics
Telecommunications and Computer Science Department of Automatic Control Gdańsk University of Technology ul. Narutowicza 11/12 Gdańsk Poland Tel: +48 58 3472519 Fax: +48 58 3415821
Noncausal estimation algorithms, which involve smoothing, can be used for off-line identification of nonstationary systems. Since smoothing is based on both past and future data, it offers increased accuracy compared ...
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Noncausal estimation algorithms, which involve smoothing, can be used for off-line identification of nonstationary systems. Since smoothing is based on both past and future data, it offers increased accuracy compared to causal (tracking) estimation schemes, incorporating past data only. It is shown that efficient smoothing variants of the popular exponentially weighted least squares and Kalman filter based parameter trackers can be obtained by means of backward-time filtering of the estimates yielded by both algorithms. When system parameters drift according to the random walk model, the properly tuned two-stage Kalman filtering/smoothing algorithm, derived in the paper, achieves the Cramér-Rao type lower smoothing bound, i.e. it is the optimal noncausal estimation scheme. Under the same circumstances performance of the modified exponentially weighted least squares algorithm is often only slightly inferior to that of the Kalman filter based smoother.
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