Renewable energy systems such as solar and wind are notorious for their varying energy production. Joint use of a battery system can mitigate this problem to meet constant demand. In this paper, we compare three metho...
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Renewable energy systems such as solar and wind are notorious for their varying energy production. Joint use of a battery system can mitigate this problem to meet constant demand. In this paper, we compare three methods, namely, (i) Monte Carlo simulation based optimization, (ii) Stochastic programming, and (iii) Optimization using Storage moment equations of Fletcher and Ponnambalam to determine the relation between the battery system capacity versus available energy for use. The first two methods require a large number of samples while the last method uses only the statistical information. Each of these methods can also produce required probabilities of failures as a function of capacity and demand.
This paper is concerned with understanding the connection between the existing Internet congestion control algorithms and the optimal control theory. The available resource allocation controllers are mainly devised to...
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ISBN:
(纸本)9781424458363
This paper is concerned with understanding the connection between the existing Internet congestion control algorithms and the optimal control theory. The available resource allocation controllers are mainly devised to derive the state of the system to a desired equilibrium point and, therefore, they are oblivious to the transient behavior of the closed-loop system. To take into account the real-time performance of the system, rather than merely its steady-state performance, the congestion control problem should be solved by maximizing a proper utility functional as opposed to a utility function. For this reason, this work aims to investigate what utility functionals the existing congestion control algorithms maximize. In particular, it is shown that there exist meaningful utility functionals whose maximization leads to the celebrated primal, dual and primal/dual algorithms. An implication of this result is that a real network problem may be solved by regarding it as an optimal control problem on which some practical constraints, such as a real-time link capacity constraint, are imposed.
A new hybrid-integrated dual-band filter is proposed for WLAN application, where the lower passband is implemented by a pair of stepped-impedance resonators (SIRs) and the higher passband is provided by two substrate ...
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A new hybrid-integrated dual-band filter is proposed for WLAN application, where the lower passband is implemented by a pair of stepped-impedance resonators (SIRs) and the higher passband is provided by two substrate integrated waveguide (SIW) cavities. In our design, the SIRs are embedded into the SIWs to reduce the size. The relationship between the parasitic resonances of SIW structure and the locations of its transmission zeros is studied. Its good performances have been demonstrated by the simulated and measured S-parameters.
This paper addresses the problem of establishing stability of interconnections of integral input-to-state stable (iISS) systems. Recently, the small-gain theorem for input-to-state stable (ISS) systems has been extend...
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ISBN:
(纸本)9781424477456
This paper addresses the problem of establishing stability of interconnections of integral input-to-state stable (iISS) systems. Recently, the small-gain theorem for input-to-state stable (ISS) systems has been extended to the class of iISS systems. It has been also proved that at least one of the two iISS subsystems comprising a feedback interconnection needs to be ISS with respect to the state of the other subsystem for guaranteeing the iISS of the overall system. This paper shows that making use of this necessary condition enables to provide more insight on the iISS small gain theorem by giving an alternative proof of this result from the perspective of transient plus ISS small-gain regulation.
Different industry sectors have developed numerous tools for risk management, from simple risk assessments to more complex tools like Failure Modes and Effects Analysis (FMEA) and incident investigation methodologies....
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ISBN:
(纸本)9781615676231
Different industry sectors have developed numerous tools for risk management, from simple risk assessments to more complex tools like Failure Modes and Effects Analysis (FMEA) and incident investigation methodologies. Although the healthcare sector deals with a highly risky environment, little has been done in the risk management area if compared to other Industries and service providers with the same level of inherent risk. To overcome these deficiencies, some methodologies have been created to fill the existing gaps in healthcare facilities. One of these tools is the incident investigation and as with any risk management tool, it is highly dependent on the way its results are communicated to the institution's administration and employees. Another shaping factor of the success of the recommendations from an incident investigation process is the follow-up applied after the recommendations are put in place. Even strong systems can fail by not giving appropriate attention for human factors on the design and implementation of recommendations, reports and follow-up procedures. This paper will discuss the importance of the development of strong recommendations after an incident investigation;a specifically designed incident investigation report, appropriate to the characteristics and mission of the institution;as well as the necessary follow-up system for the verification and control of the presented recommendations. Factors like the institution support, employee involvement, strong recommendations and adequate follow-up on the recommendations must be taken into consideration in order to obtain good safety results after an incident investigation.
With its advantages in wirelength reduction and routing flexibility compared with conventional Manhattan routing, X architecture has been proposed and applied to modern IC design. As a critical part in high-performanc...
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With its advantages in wirelength reduction and routing flexibility compared with conventional Manhattan routing, X architecture has been proposed and applied to modern IC design. As a critical part in high-performance integrated circuits, clock network design meets great challenges due to feature size decrease and clock frequency increase. In order to eliminate the delay and attenuation of clock signal introduced by the vias, and to make it more tolerant to process variations, in this paper, we propose an algorithm of a single layer zero skew clock routing in X architecture (called Pianar-CRX). Our Planar- CRX method integrates the extended deferred-merge embedding algorithm (DME-X, which extends the DME algorithm to X architecture) with modified Ohtsuki's line-search algorithm to minimize the total wirelength and the bends. Compared with planar clock routing in the Manhattan plane, our method achieves a reduction of 6.81% in total wirelength on average and gets the resultant clock tree with fewer bends. Experimental results also indicate that our solution can be comparable with previous non-planar zero skew clock routing algorithm.
Advances in GPU technology have propelled the GPU into arenas far afield from the traditional, isolated roles they have previously played. With hundreds of processing units in a single GPU, substantial speedups can be...
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ISBN:
(纸本)9781605588001
Advances in GPU technology have propelled the GPU into arenas far afield from the traditional, isolated roles they have previously played. With hundreds of processing units in a single GPU, substantial speedups can be achieved by harnessing their power to augment the performance of the traditional single- or multi-core CPU on certain compute-intensive applications. However, utilizing the GPU requires both a change in the programmer's traditional algorithmic model as well as a judicious selection of algorithm being used for the problem. This paper reviews the GPU architecture and the tools available to utilize this valuable resource. It also provides insight into the type of problem best suited for the GPU as well as programming styles required to fully harness the power of the GPU. We present examples of specific EDA algorithms that can benefit from GPU acceleration, using both the CUDA and OpenCL environments. Copyright 2009 ACM.
In this paper, a novel cooperative stochastic channel prioritization algorithm is presented for the purpose of improving spectrum sensing efficiency in cooperative cognitive radio systems. The proposed algorithm achie...
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This paper is concerned with the mixed H2/H∞ control problem with output-feedback. To propose a new iterative method for the problem we firstly construct a controller sequence which converges to the unconstr...
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This paper is concerned with the mixed H2/H∞ control problem with output-feedback. To propose a new iterative method for the problem we firstly construct a controller sequence which converges to the unconstrained globally optimal H2 controller. After then, using this sequence, we propose an iterative method for the mixed H2/H∞ control problem. The advantage of our method is to guarantee that the obtained solution is either the globally optimal solution or a feasible solution in the neighborhood of the boundary of the H∞ norm constraint. A numerical example shows the efficiency of our method.
This paper presents a statistical framework for the design of flip-flops under process variations in order to maximize their timing yield. In nanometer CMOS technologies, process variations significantly impac. The ti...
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