Conventional switches are usually controlled by a manually defined algorithm implemented in the network processor. The conventional methods of control are fast, reliable and transparent. The article deals with alterna...
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ISBN:
(纸本)9781467311182
Conventional switches are usually controlled by a manually defined algorithm implemented in the network processor. The conventional methods of control are fast, reliable and transparent. The article deals with alternative method of switch control - based on a neural network, focused on Quality of Service. The article describes the designed model, simulation and summarizes the results.
The power loss in switching devices plays an important role in design of static converters. The power dissipated during oil state of semiconductor switches (conduction loss) is a Substantial portion of the total switc...
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The power loss in switching devices plays an important role in design of static converters. The power dissipated during oil state of semiconductor switches (conduction loss) is a Substantial portion of the total switch losses. especially in low frequency converters. Conduction loss rnay differ in switches of the converter due to the difference in duration and amount of currents flowing through them. This is, in turn, the result of dissimilar switching signals applied to the switches. To optirnize the converter design. it is important to equalize the conduction losses of all main switches. In this paper it is shown that with conventional switching patterns in a full-brid,,e inverter (H-bridge cell). the switches carry different Current values. therefore they bear different power losses and get unequal temperature rises. To balance conduction losses, a novel switching method is proposed and its effectiveness and validity is examined by computer simulation results and experimental works. Copyright (C) 2008 John Wiley & Soils, Ltd.
In this paper, a 3D pose attitude estimation system using inertial sensors was developed to provide feedback motion and attitude information for a humanoid robot. It has a very effective switching structure and compos...
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In this paper, a 3D pose attitude estimation system using inertial sensors was developed to provide feedback motion and attitude information for a humanoid robot. It has a very effective switching structure and composed of three modules, a motion acceleration detector, a pseudo-accelerometer output estimator, and a linear acceleration estimator. The switching structure based on probability enables a tactful feedback loop for the extended Kalman filter inside the sensor system. Specially designed linear-rotation test equipment was built, and the experimental results showed its fast convergence to actual values in addition to its excellent responses. The output of the proposed 3D sensor can be transmitted to a humanoid at a frequency of 200 Hz. (c) 2010 Elsevier Ltd. All rights reserved.
The majority of existing Independent, Component Analysis (ICA) algorithms are based on maximizing or minimizing a certain objective function with the help of gradient learning methods. However, it is rather difficult ...
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ISBN:
(纸本)9783540877318
The majority of existing Independent, Component Analysis (ICA) algorithms are based on maximizing or minimizing a certain objective function with the help of gradient learning methods. However, it is rather difficult to prove whether there is no spurious solution in ICA under any objective function as well as the gradient learning algorithm to optimize it. In this paper, we present an analysis on the kurtosis-sum objective function, i.e., the sum of the absolute kurtosis values of all the estimated components, with a kurtosis switching algorithm to maximize it. In two-source case, it is proved that any local maximum of this kurtosis-sum objective function corresponds to a feasible solution of the ICA problem in the asymptotic sense. The simulation results further show that the kurtosis switching algorithm always leads to a feasible solution of the ICA problem for various types of sources.
Using multiple model structures is one of the successful solutions for the real-time control of nonlinear or multi-regime processes. Additionally to designing the multi-controller corresponding algorithm, using this s...
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ISBN:
(纸本)9789077381403
Using multiple model structures is one of the successful solutions for the real-time control of nonlinear or multi-regime processes. Additionally to designing the multi-controller corresponding algorithm, using this structure, imposes solving some specific problems, like best algorithm selection or control algorithmswitching. The main goal of this paper is to provide a method for switching the algorithms of the multiple-models structure, based on the principles of manual to automatic bumpless transfer. The applicability of the method is proved using a real-time structure with an RST control algorithm. The results are tested on a special designed hardware and software experimental platform.
Systems with multiple models or multi-controller structure represent one of the successful solutions for the real-time control of the nonlinear or multi-regime processes. The use of these structures imposes solving so...
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ISBN:
(纸本)9780978672010
Systems with multiple models or multi-controller structure represent one of the successful solutions for the real-time control of the nonlinear or multi-regime processes. The use of these structures imposes solving some specific problems, like best algorithm selection or control algorithmswitching. The paper proposes a method for switching the algorithms of the multiple-models structure, based on the principles of manual to automatic bumpless transfer. The applicability of the method is proved using a real-time structure with an RST control algorithm. In the end, its software implementation is also shown.
This brief discusses the economical design of a 14-b current-steering digital-to-analog converter (DAC) macrocell for integration with other analog and digital macrocells in a system-on-chip (SOC). The DAC design is t...
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This brief discusses the economical design of a 14-b current-steering digital-to-analog converter (DAC) macrocell for integration with other analog and digital macrocells in a system-on-chip (SOC). The DAC design is targeted for a standard 0.13-mum six-metal single-poly CMOS process. A novel algorithm sets the switching order of individual current sources and minimizes systematic mismatch errors. The design approach minimizes total fabrication cost of the SOC without a loss to specified DAC design requirements. Total macrocell design area is 2.9 mm(2).
Controlled interruption of short circuit currents in medium- and high-voltage systems by means of point-on-wave control has not been feasible so far for technical reasons. The determination of the optimal tripping mom...
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Controlled interruption of short circuit currents in medium- and high-voltage systems by means of point-on-wave control has not been feasible so far for technical reasons. The determination of the optimal tripping moment to achieve minimal contact wear should not take more time than the protection relay takes to indicate the fault, which makes it a difficult problem. As a solution, a so-called safe-point algorithm was developed, which overcomes the problem by an approximation of sufficient accuracy and with a time request of not much more than half a cycle of the power frequency. Computer simulations demonstrate that the mean I(2)t can be reduced significantly. The method provides the foundation for implementing controlled switching of fault currents.
All known approaches for the design of increasing translation-invariant binary window filters involve combinatoric searches. This paper proposes a new switching algorithm having the advantage that the search is over a...
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All known approaches for the design of increasing translation-invariant binary window filters involve combinatoric searches. This paper proposes a new switching algorithm having the advantage that the search is over a smaller set than other algorithms. Beginning with an estimate from image realizations of the optimal generic (nonincreasing) window function, the algorithm switches (exchanges) a set of observation vectors (templates) between the optimal function's kernel and the kernel's complement. There are many such "switching sets" that provide a kernel defining an increasing filter. The optimal increasing filter is the one corresponding to the switching set that produces the minimal increase in error over the optimal generic filter. The core of the search problem is the inversion set of the optimal filter. The inversion set is composed of all vectors in the kernel lying beneath a nonkernel vector in the lattice of observation vectors and all nonkernel vectors lying above a kernel vector. The new algorithm, which is based on an error-related greedy property, recursively eliminates the inversion set until the optimal increasing filter is obtained. For purposes of computational efficiency, the actual implementation may be based on a relaxation of the original construction, so that the result may be based on a relaxation of the original construction, so that the result may be suboptimal. For the various models tested, the relaxed algorithm has proven to be optimal or very close to optimal. Besides its good estimation precision, the new algorithm has three noteworthy properties: first, it is applicable to relatively large windows;second, it operates directly on the input data via estimates of the determining conditional probabilities;and third, the degree of relaxation serves as an input parameter to the algorithm, so that computation time can be bounded for large windows and the algorithm can run to full optimality for small windows. (C) 2000 Pattern Recognition Soci
In this paper, we propose a switching state feedback control algorithm for a class of non-holonomic symmetric affine systems with multi-generators. The controllability Lie algebra of a multi-generator system is struct...
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In this paper, we propose a switching state feedback control algorithm for a class of non-holonomic symmetric affine systems with multi-generators. The controllability Lie algebra of a multi-generator system is structurally different from that of single-generator systems, such as conventional chained form systems. A multi-generator dynamics is partially considered a single-generator system and each subsystem can be stabilized by any existing controller proposed for chained systems. We propose a switching control algorithm, in that each generator is chosen in sequence and corresponding sub-controllers are applied, where each sub-controller is designed by existing methods for chained systems. The efficiency of the proposed strategy is evaluated via numerical simulations.
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