This paper presents the solution of the global robust output regulation problem for a class of nonlinear systems with relative degree one without knowing the control direction. The result is also applied to an asympto...
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The experiments aimed to compare data driven models for the valuation of residential premises were conducted using KEEL (Knowledge Extraction based on Evolutionary Learning) system. Twelve different regression algorit...
The experiments aimed to compare data driven models for the valuation of residential premises were conducted using KEEL (Knowledge Extraction based on Evolutionary Learning) system. Twelve different regression algorithms were applied to an actual data set derived from the cadastral system and the registry of real estate transactions. The 10-fold cross validation and statistical tests were applied. The lowest values of MSE provided models constructed and optimized by means of support vector machine, artificial neural network, decision trees for regression and quadratic regression, however differences between them were not statistically significant. Worse performance revealed algorithms employing evolutionary fuzzy rule learning. The experiments confirmed the usefulness of KEEL as a powerful tool with its numerous evolutionary algorithms together with classical learning approaches to carry out laborious investigation on a practical problem in a relatively short time.
In order to provide the fastest search for optimal solution, both the structure and the parameters of genetic algorithms (GA) should be optimized. The advantage of recently introduced micro-genetic algorithms (μGA) i...
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The market economic system is a large complex system. In this paper, we define Four-Element Connection Numbers control which combines Set Pair Analysis, Extension Methods, etc, applies to economic control, which is ef...
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In this paper we show how to accurately track position and orientation of a mobile robot using positioning only RF ultrasound transceiver system and dead-reckoning. The solution is based on geometrical displacement of...
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In this paper we show how to accurately track position and orientation of a mobile robot using positioning only RF ultrasound transceiver system and dead-reckoning. The solution is based on geometrical displacement of the positioning device from the axis of rotation of the robot which brings dependency in position of the device and robot's orientation and enables the correction of the absolute orientation of the robot. Estimation is done via extended Kalman filter with variable discretization time because of stochastic nature of measurement arrival times. We describe and analyze the main sources of noise in odometry and position device readings. We also suggest the method for measurement outlier elimination derived from empirical measurement analysis. Experimental verification of the proposed method is presented that yields position error aprox. 1plusmn2.5 centimeters and 1plusmn2 degrees.
This paper presents a parameter identification method involving a high-order sliding mode observer. The method is based on the equivalent output injection technique. Using the finite-time convergence of the sliding mo...
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ISBN:
(纸本)9781424474264
This paper presents a parameter identification method involving a high-order sliding mode observer. The method is based on the equivalent output injection technique. Using the finite-time convergence of the sliding mode observer, an algebraic reconstruction algorithm is designed to identify the system parameters through a finite time window.
This paper presents the solution to a quadrotor control problem based on a discrete automaton that, in combination with classical PID controllers, creates a hybrid control system. Some modifications to the known and w...
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This paper presents the solution to a quadrotor control problem based on a discrete automaton that, in combination with classical PID controllers, creates a hybrid control system. Some modifications to the known and widely used mathematical model of quadrotor aircrafts are also discussed in this paper. The paper shows an open loop control concept that flies the aircraft into looping. Finally, the performance of the suggested control scheme is tested with simulations.
Decoy states have been proven to be a very useful method for significantly enhancing the performance of quantum key distribution systems with practical light sources. Although active modulation of the intensity of the...
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Decoy states have been proven to be a very useful method for significantly enhancing the performance of quantum key distribution systems with practical light sources. Although active modulation of the intensity of the laser pulses is an effective way of preparing decoy states in principle, in practice passive preparation might be desirable in some scenarios. Typical passive schemes involve parametric down-conversion. More recently, it has been shown that phase-randomized weak coherent pulses (WCP) can also be used for the same purpose [M. Curty et al., Opt. Lett. 34, 3238 (2009).] This proposal requires only linear optics together with a simple threshold photon detector, which shows the practical feasibility of the method. Most importantly, the resulting secret key rate is comparable to the one delivered by an active decoy-state setup with an infinite number of decoy settings. In this article we extend these results, now showing specifically the analysis for other practical scenarios with different light sources and photodetectors. In particular, we consider sources emitting thermal states, phase-randomized WCP, and strong coherent light in combination with several types of photodetectors, like, for instance, threshold photon detectors, photon number resolving detectors, and classical photodetectors. Our analysis includes as well the effect that detection inefficiencies and noise in the form of dark counts shown by current threshold detectors might have on the final secret key rate. Moreover, we provide estimations on the effects that statistical fluctuations due to a finite data size can have in practical implementations.
The paper presents the possibility of using a sliding window for image feature extraction in order to identify image regions of interest. The study includes the comparison of feature extraction methods both in the spa...
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This paper studies the global robust output regulation problem for a class of output feedback systems subject to an uncertain exosystem by using output feedback *** adaptive control technique is used to handle the unk...
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This paper studies the global robust output regulation problem for a class of output feedback systems subject to an uncertain exosystem by using output feedback *** adaptive control technique is used to handle the unknown parameter vector in the *** is shown that this unknown parameter vector can be exactly estimated asymptotically if the controller incorporates a minimal internal *** effectiveness of our approach has been illustrated by an asymptotic tracking problem associated with a generalized fourth-order Lorenz system.
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