The paper presents the requirements of measurement system for electric arc furnace parameters measurement and for working characteristic calculating. On this basis measurement signals were specified and measurement al...
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The problem of either elimination or extraction of an unknown number of nonstationary complex sinusoidal signals burried in noise is considered. We derive a class of adaptive notch filtering algorithms which can be ef...
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The problem of either elimination or extraction of an unknown number of nonstationary complex sinusoidal signals burried in noise is considered. We derive a class of adaptive notch filtering algorithms which can be efficiently (almost transientless) started, or restarted, using the results of local nonparametric, periodogram-based signal analysis.
The paper presents the requirements of measurement system for electric arc furnace parameters measurement and for working characteristic calculating. On this basis measurement signals were specified and measurement al...
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The paper presents the requirements of measurement system for electric arc furnace parameters measurement and for working characteristic calculating. On this basis measurement signals were specified and measurement algorithms were developed. For data acquisition a special system was constructed. The system consists of portable computer with acquisition card and conditioning system with differential amplifiers, antialiasing filters and sample and hold circuits. The system is connected with interface build-up permanent in arc furnace. The system software makes possible on-line observation of measured signals values and save data to hard disk. Further calculations may be performed off-line using special developed algorithms. For system software development the open source Python language and GCC compiler for Windows were used.
The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into a...
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The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into account possible reporting errors in the learning sample. For the new model, there are developed identification and forecasting algorithms that provide consistent estimators of the model parameters and mean square optimal forecasts. The efficiency of the proposed approach is illustrated by an application example for slow-moving car parts.
This paper represents a new technique for remapping the distributed object-oriented software methods to target architecture. This technique takes into consideration the advantages of the structure inherit in object-or...
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作者：
Klosowski, PiotrDivision of Telecommunication
Institute of Electronics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland
Paper presents results of main research areas on speech communications applications: speech synthesis, speech recognition and speaker verification and identification systems. Research was conducted by Institute of Ele...
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The problem of identification/tracking of quasi-periodically varying processes is considered. Two solutions to this problem are presented, First the global search algorithm is derived. Then its decoupled version. with...
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New developments in computer networks and communications provide new possibilities for control purposes. control systems for highly complex plants are themselves very complex and heterogeneous. A new software infrastr...
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A technique for real time path planning of under-actuated robots is developed. The real time path-planning problem is posed as a finite time nonlinear control problem, which is solved in parallel with an optimization ...
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A technique for real time path planning of under-actuated robots is developed. The real time path-planning problem is posed as a finite time nonlinear control problem, which is solved in parallel with an optimization technique in the real time. A new controller that is called the Fault Tolerant Motion controller (FTM) is developed. Also a new measure that we called the Reliability Index (RI) is proposed to monitor, instantly, the performance of the FTM. Simulation studies are presented.
This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the...
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