Common practice in industrial design of discrete controllers as well as in most synthesis procedures advocated for discrete control in academia is to create the control logic and to transfer it into a PLC language bef...
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Common practice in industrial design of discrete controllers as well as in most synthesis procedures advocated for discrete control in academia is to create the control logic and to transfer it into a PLC language before process start-up. Changes in the operational constraints of the controlled process (e.g. of available resources, nominal set-points, occurrences of failures) have to be accounted for by dedicated alternative routines, i.e. dependability is restricted to variations which are envisaged during design. In contrast, the approach proposed in this paper operates online on a model of the uncontrolled process to compute a control strategy that is adapted to the current set of constraints. By using algebraic computations largely resembling techniques for discrete-time continuous-valued controllers, perceived process variations (including newly defined control-goals) are first assessed with respect to the existence of a feasible successful control strategy, before such a dependable and optimal strategy is computed.
This paper presents an algorithm to optimize the size of the components of a photovoltaic pumping installation, composed of photovoltaic panels and a battery bank. The decision is made on the basis of the measured Pho...
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ISBN:
(纸本)9781479914630
This paper presents an algorithm to optimize the size of the components of a photovoltaic pumping installation, composed of photovoltaic panels and a battery bank. The decision is made on the basis of the measured Photovoltaic Panel Generation, the required power for the load, the needed water quantity for the crops and the correct operation of the battery. The algorithm aims to ensure the system autonomy, minimize the unused energy and fulfill the water demand. Some tests of the algorithm are shown in order to demonstrate that the approach fulfills these objectives.
In this paper we deal with retrieving the spectral factor for an autocorrelation polynomial with only a few nonzero elements. The algorithm is based on the representation of polynomials using sparse bases. We search i...
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In this paper we deal with retrieving the spectral factor for an autocorrelation polynomial with only a few nonzero elements. The algorithm is based on the representation of polynomials using sparse bases. We search in a greedy way for a basis by removing elements from the basis of the autocorrelation polynomial and extracting the spectral factor, using a semidefinite program. The algorithm stops when no other solution can be obtained with a smaller basis. Our algorithm appears to be faster and can be more accurate than previous methods.
Present paper presents an application designed to help paramedics or other intervention personal to diagnose and monitor the state of victims in remote or difficult to access areas using Windows 8 tablet computers. Th...
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Present paper presents an application designed to help paramedics or other intervention personal to diagnose and monitor the state of victims in remote or difficult to access areas using Windows 8 tablet computers. The application is written in Visual C# and uses the latest programming technologies and security features. It will help measure the Glasgow Coma Scale, respiration, pulse, blood pressure of victims and pass on data to a remote centralized management system using wireless signals, such as wireless internet and Bluetooth.
Neurologists frequently use X-ray angiographic techniques in order to establish the optimal treatment or intervention procedure. Neurosurgeries performed at blood vessels level are difficult procedures because of the ...
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Neurologists frequently use X-ray angiographic techniques in order to establish the optimal treatment or intervention procedure. Neurosurgeries performed at blood vessels level are difficult procedures because of the low accessibility in the human brain. Therefore, the establishment of a correct diagnosis based on angiographies is of paramount importance. Enhanced visualization of blood vessels by separating veins and arteries from background can help, in many cases, in giving a more accurate diagnosis. In this article, three methods for arteries and veins classification and enhanced visualization are presented. From our study, it results that, using coefficients of wavelet transform as parameters for the classification, a better visual representation of small vessels is achieved.
This paper presents a successful implementation of an undergraduate robotics and virtual reality course that builds upon the synergies existing between these two areas in order to introduce computers and information t...
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This paper presents a successful implementation of an undergraduate robotics and virtual reality course that builds upon the synergies existing between these two areas in order to introduce computers and information technology students to some fundamental concepts, through the use of simulation, experiments on real robots and design of robotic creatures in virtual environments. Course objectives, methodological aspects and the main technical solutions are presented in detail. A survey has been proposed in order to evaluate the impact of this course, and parts of it are presented and commented.
In the recent years several regularization strategies have been proposed to tackle linear system identification problems. One line of work has concentrated on designing and studying the properties of several Kernels f...
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ISBN:
(纸本)9781467357159
In the recent years several regularization strategies have been proposed to tackle linear system identification problems. One line of work has concentrated on designing and studying the properties of several Kernels for l_2-type regularization in impulse response estimation;a second stream of work has proposed using Nuclear Norm type of penalties on certain Hankel data matrices, aiming at favoring (almost) low rank solutions in subspace type procedures. The goal of this paper is twofold: (i) bring all these ideas under a common umbrella also proposing an algorithm which combines different penalties and (ii) provide a first comparison between different approaches.
State-space models are successfully used in many areas of science, engineering and economics to model time series and dynamical systems. We present a fully Bayesian approach to inference and learning (i.e. state estim...
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ISBN:
(纸本)9781632660244
State-space models are successfully used in many areas of science, engineering and economics to model time series and dynamical systems. We present a fully Bayesian approach to inference and learning (i.e. state estimation and system identification) in nonlinear nonparametric state-space models. We place a Gaussian process prior over the state transition dynamics, resulting in a flexible model able to capture complex dynamical phenomena. To enable efficient inference, we marginalize over the transition dynamics function and, instead, infer directly the joint smoothing distribution using specially tailored Particle Markov Chain Monte Carlo samplers. Once a sample from the smoothing distribution is computed, the state transition predictive distribution can be formulated analytically. Our approach preserves the full nonparametric expressivity of the model and can make use of sparse Gaussian processes to greatly reduce computational complexity.
The problem of tracking a smooth time-varying reference trajectory for Thomson's ring is addressed from the perspective of Active Disturbance Rejection control (ADRC). The tracking controller is designed on the ba...
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ISBN:
(纸本)9781479901777
The problem of tracking a smooth time-varying reference trajectory for Thomson's ring is addressed from the perspective of Active Disturbance Rejection control (ADRC). The tracking controller is designed on the basis of the tangent linearization model of the nonlinear system around a constant equilibrium point. The large height deviations, outside the region of validity of the approximate linearization, trigger the effect of unknown nonlinearities and exogenous perturbations. These disturbances are properly on-line estimated and canceled with the help of a linear extended observer-linear controller based output feedback control scheme. Experimental results are presented which validate the effectiveness of the proposed control scheme.
This paper describes a novel mobility assistive device under development in the Egypt-Japan University of Science and Technology (E-JUST). The proposed system can help patients who do not have enough physical strength...
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