Many undergraduate students find it difficult to learn, understand and conceptualize some of the the basic topics of signal processing and analysis theory such as: analog and digital signals, frequency domain, Fourier...
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Many undergraduate students find it difficult to learn, understand and conceptualize some of the the basic topics of signal processing and analysis theory such as: analog and digital signals, frequency domain, Fourier Transform, Discrete Fourier Transform, Nyquist-Shannon sampling theorem, aliasing etc. This paper presents an effective method to introduce some of the most important topics in an introductory Signal Theory course. A set of laboratory exercises is developed, where students experiment with several basic and advanced signal analysis and processing techniques, almost through game and play. The results of a poll show that students find considerable improvement in course organisation and greater usefulness of laboratory exercises in understanding course material.
In the paper we deal with design, modeling and verification of thermostat with particularly thermally insulated chamber, based on Peltier thermoelectric modules (elements). A prototype of the designed thermostat has b...
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This paper deals with the problem of estimating the states in nonlinear systems with parameters that are not precisely knwon through the implementation of proportional nonlinear high gain observers with additional int...
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Coordinated systems of multiple mobile manipulators can be much more flexible than single mobile manipulator in order to accomplish complex and changeable tasks. In this paper, sliding-mode control strategies are used...
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Coordinated systems of multiple mobile manipulators can be much more flexible than single mobile manipulator in order to accomplish complex and changeable tasks. In this paper, sliding-mode control strategies are used to control the coordinated multiple mobile manipulators which carry a common object. The control ensures that the output tracking errors of the system converge to zero. Simulation studies show the effectiveness of the proposed scheme.
Emergence of Web 2.0 technologies became a trigger for a revolution that goes far beyond the Web. For an average student Web was transformed from a steady, accessible source of information into a place of action and v...
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Machine learning is very important in several fields ranging from control systems to data mining. This paper presents Q - Learning implementation for abstract graph models with maze solving (finding the trajectory out...
Machine learning is very important in several fields ranging from control systems to data mining. This paper presents Q - Learning implementation for abstract graph models with maze solving (finding the trajectory out of the maze) taken as example of graph problem. The paper consists of conversion of maze matrix to Q - Learning reward matrix, and also the implementation of Q - Learning algorithm for the reward matrix (similar to minimizing criteria matrix in dynamic programming). This implementation is on higher level of abstraction, so other representations can be used (artificial neural networks, tree etc.). For the testing of Q - Learning algorithm, maze solving problem was visualized in MATLAB programming language with the found trajectory marked on the maze. The maze in this paper is defined with starting position in the top left corner and the exit in the bottom right corner. The performance of the algorithm is measured for different scales of the problem.
Abstract This paper studies decentralized control design problem for uncertain linear system. Decentralized control design procedure is proposed for static output feedback control which is based on solving robust cont...
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Abstract This paper studies decentralized control design problem for uncertain linear system. Decentralized control design procedure is proposed for static output feedback control which is based on solving robust control design problems of subsystems’ size. The presented approach uses so called equivalent subsystems to consider the interactions in the local robust controller design. The resulting decentralized control scheme has been successfully tested on the linearized model of three interconnected boiler-turbine subsystems.
The paper deals with Helicopter model elevation control. Helicopter model is significantly nonlinear plant which simulates in some simplified way behavior of real helicopter. There is derived new way to control it whi...
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The paper deals with Helicopter model elevation control. Helicopter model is significantly nonlinear plant which simulates in some simplified way behavior of real helicopter. There is derived new way to control it which uses piecewise-linear neural model. As it is shown at the end of the paper, this new control algorithm brings decent performance improvement compared to classical control techniques.
In this paper, a microgrid hierarchical control scheme is proposed which includes primary and secondary control levels. The primary level comprises distributed generators (DGs) local controllers. The local controller ...
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