In this paper we present the toolbox DuQuad specialized for solving general convex quadratic problems arising in many engineering applications (e.g. embedded predictive control problems). Several versions of dual firs...
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ISBN:
(纸本)9781479978878
In this paper we present the toolbox DuQuad specialized for solving general convex quadratic problems arising in many engineering applications (e.g. embedded predictive control problems). Several versions of dual first order methods are implemented in the programming language C, and optimized for low iteration complexity and low memory footprint. The toolbox has a dynamic Matlab interface which make the process of testing, comparing, and analyzing the algorithms simple. The algorithms are implemented using only basic arithmetic and logical operations and thus are suitable to run on low cost embedded hardware. It is shown that if an approximate solution is sufficient for a given application, there exists problems where some of the implemented algorithms obtain the solution faster than state-of-the-art commercial solvers.
Due to the increasing complexity of photovoltaic systems and problems linked to development and design, verification of the entire system operation is essential before real implementation. Besides, high requirements o...
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Due to the increasing complexity of photovoltaic systems and problems linked to development and design, verification of the entire system operation is essential before real implementation. Besides, high requirements of a real-time simulation and control circuit prototyping before application increases safeness, and can reduce time and costs of implementation. For this end, the purpose of this work is to achieve photovoltaic system development and its design verification through system simulation using FPGA device. The verification method used in this study is the “Hardware-In-the-Loop” (HIL) simulation method. It provides an effective platform for developing and testing real time embedded systems. In this paper, we design the power circuit and we develop the open-circuit voltage controller which tracks the maximum power point. Then, the HIL simulation process is performed for the photovoltaic system. The efficiency of the photovoltaic system is validated by the simulation results.
In millimeter wave (mmWave) communication systems, narrow beam operations overcome severe channel attenuations, reduce multiuser interference, and thus introduce the new concept of noise-limited mm Wave wireless netwo...
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ISBN:
(纸本)9781467395274
In millimeter wave (mmWave) communication systems, narrow beam operations overcome severe channel attenuations, reduce multiuser interference, and thus introduce the new concept of noise-limited mm Wave wireless networks. The regime of the network, whether noise-limited or interference-limited, heavily reflects on the medium access control (MAC) layer throughput and on proper resource allocation and interference management strategies. Yet, alternating presence of these regimes and, more importantly, their dependence on the mm Wave design parameters are ignored in the current approaches to mm Wave MAC layer design, with the potential disastrous consequences on the throughput/delay performance. In this paper, tractable closed-form expressions for collision probability and MAC layer throughput of mm Wave networks, operating under slotted ALOHA and TDMA, are derived. The new analysis reveals that mm Wave networks may exhibit a non-negligible transitional behavior from a noise-limited regime to an interference-limited regime, depending on the density of the transmitters, density and size of obstacles, transmission probability, beamwidth, and transmit power. It is concluded that a new framework of adaptive hybrid resource allocation procedure, containing a proactive contention-based phase followed by a reactive contention-free one with dynamic phase duration, is necessary to cope with such transitional behavior.
Tube-based model predictive control (MPC) is a variant of MPC that is suitable for constrained linear systems subject to additive bounded disturbances. We extend constraint removal, a technique recently introduced to ...
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ISBN:
(纸本)9781479978878
Tube-based model predictive control (MPC) is a variant of MPC that is suitable for constrained linear systems subject to additive bounded disturbances. We extend constraint removal, a technique recently introduced to accelerate nominal MPC, to tube-based MPC. Constraint removal detects inactive constraints before actually solving the MPC problem. By removing constraints that are known to be inactive from the optimization problem, the computational time required to solve it can be reduced considerably. We show that the number of constraints to be considered in the optimization problem decreases along any trajectory of the closed-loop system, until only the unconstrained optimization problem remains. The proposed variant of constraint removal is easy to apply. Since it does not depend on details of the optimization algorithm, it can easily be added to existing implementations of tube-based MPC.
The presented paper is focused on analysis of two methods of marker localization. The markers are passive RFID transponders (without or with identification chip) consisting of tuned LC circuit and being used to mark a...
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ISBN:
(纸本)9781479967476
The presented paper is focused on analysis of two methods of marker localization. The markers are passive RFID transponders (without or with identification chip) consisting of tuned LC circuit and being used to mark and trace underground networks such as cables and pipes. Localization of the marker is based on evaluation of signal amplitude received from the excited marker, i. e. it is RSSI based localization method. The excitation of marker can be periodically repeated or continuous. In the first case the localization process consists of two stages - excitation and receiving of marker damped oscillations, in the second case the amplitude of continuously generated excitation signal is decreased by vicinity of the marker. Both localization methods are mathematically analyzed by modeling of their circuits using differential equations. The results of analysis are used to compare both methods and to evaluate their suitability for practical utilization.
In this paper the more precise mathematical modeling of Permanent Magnet Brushless DC Motor (PMBLDC) has been presented. This is required for accurate real time applications of PMBDLC drive. The electronic and communi...
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This paper focuses on the use of parameter estimation techniques for the implementation of real-time Fault Detection and Diagnosis schemes. A detailed analysis of the nonrecursive and recursive Least Squares methods i...
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This paper focuses on the use of parameter estimation techniques for the implementation of real-time Fault Detection and Diagnosis schemes. A detailed analysis of the nonrecursive and recursive Least Squares methods is given in the context of the system diagnosis problem, and a procedure for performing fault detection and identification for multivariable systems is proposed. An application example from the field of aircraft control is considered, which illustrates the suitability of the Recursive Least Squares method with exponential weighting and constant forgetting factor for Fault Detection and Fault Identification / Estimation within complex applications.
This paper describes a new statistical based study of the pupil diameter marker for the detection of incremental levels of mental stress in operators who are subjected to mental stress. In order to achieve an acceptab...
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ISBN:
(纸本)9781467383264
This paper describes a new statistical based study of the pupil diameter marker for the detection of incremental levels of mental stress in operators who are subjected to mental stress. In order to achieve an acceptable and an incremental level of mental stress, the operators were subjected from two to four sessions each of an arithmetic operations based test of varying difficulty. The experiment was performed on 4 healthy subjects of ages varying from 27 to 45 and for a total of 13 experiment sessions. In order to account for the effect of fatigue in the experiment, the order of the difficulty levels was varied for different sessions. The results obtained demonstrate the effectiveness of the pupil diameter marker as a viable incremental predictor of mental stress as inferred from the obtained two-sample statistical t-test.
This paper presents a novel point-cloud descriptor for robust and real-time tracking of multiple objects without any object knowledge. Following with the framework of incremental model-free multiple object tracking fr...
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This paper presents a novel point-cloud descriptor for robust and real-time tracking of multiple objects without any object knowledge. Following with the framework of incremental model-free multiple object tracking from our previous work [5][7][6], 6 DoF pose of each object is firstly estimated with input point-cloud data which is then segmented according to the estimated objects, and incremental model of each object is updated from the segmented point-clouds. Here, we propose Joint Color-Spatial Descriptor (JCSD) to enhance the robustness of the pose hypothesis evaluation to the point-cloud scene in the particle filtering framework. The method outperforms widely used point-to-point comparison methods, especially in the partially occluded scene, which is frequently happened in the dynamic object manipulation cases. By means of the robust descriptor, we achieved unsupervised multiple object segmentation accuracy higher than 99%. The model-free multiple object tracking was implemented by using a particle filtering with JCSD as a likelihood function. The robust likelihood function is implemented with GPU, thus facilitating real-time tracking of multiple objects.
This paper presents an algorithm based on Thevenin equivalent network for voltage stability evaluation. The proposed algorithm provides a technique for online predicting the largest possible margin to voltage collapse...
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This paper presents an algorithm based on Thevenin equivalent network for voltage stability evaluation. The proposed algorithm provides a technique for online predicting the largest possible margin to voltage collapse of an electrical power system. An online maximum loadability determination algorithm is developed by transforming the impedance margin, obtained from the Thevenin equivalent network, into the loading margin at each of the load buses in a power system. Furthermore, the proposed algorithm also takes system load trends into account for practical applications. The effectiveness of the proposed algorithm is tested on the IEEE 14 and 57 bus test systems. Simulation results have shown that the proposed algorithm is useful and practical for online voltage instability monitoring.
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