In recent years, more and more plug-in hybrid electric vehicles (PHEVs) have been put to use in smart grid. In this paper, we consider a dynamic aggregator-PHEV system, where the aggregator convinces the PHEVs to use ...
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In recent years, more and more plug-in hybrid electric vehicles (PHEVs) have been put to use in smart grid. In this paper, we consider a dynamic aggregator-PHEV system, where the aggregator convinces the PHEVs to use electricity rather than gas by setting an appropriate charging price dynamically. We propose a payoff-maximizing algorithm for the aggregator to decide not only the charging price but also the electricity amount purchased from real-time power market based on Lyapunov optimization. Furthermore, we transform the power purchase problem into the energy allocation problem among all the PHEVs. The proposed algorithm operates in real time and does not require any prior knowledge of the statistical information of the system. Theoretically, we demonstrate the proposed algorithm can guarantee system stability and achieve a result that is away from the optimum by O(1/V ), where V is a control parameter. The effectiveness and robustness of the algorithm is validated through simulation results.
Monitoring system of furnace ash fouling is the foundation of the soot-blowing operation on furnace *** furnace exit gas temperature(FEGT) is the key parameter in monitoring system,a new CM-LSSVM-PLS method is propose...
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Monitoring system of furnace ash fouling is the foundation of the soot-blowing operation on furnace *** furnace exit gas temperature(FEGT) is the key parameter in monitoring system,a new CM-LSSVM-PLS method is proposed to predict *** the process of CM-LSSVM-PLS method,considering the characteristics of operational data,c-means(CM) cluster algorithm is used to partition the training data into several different *** are subsequently developed in the individual subsets based on least squares support vector machine(LSSVM).Finally,partial least squares(PLS) algorithm is employed as the combination *** single LSSVM is established to make a comparison with CM-LSSVM-PLS *** proposed model is verified through operation data of a 300 MW generating *** comparison result shows that the new CM-LSSVM-PLS method can predict FEGT accurately while the time consumed in modeling decrease drastically.
The increasing demands on the indoor location service inspire the wide attentions to investigate the indoor position algorithms. Access point(AP) selection is critical important for increasing the estimation accuracy ...
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The increasing demands on the indoor location service inspire the wide attentions to investigate the indoor position algorithms. Access point(AP) selection is critical important for increasing the estimation accuracy of the indoor location. In this paper, the key features in influencing the accuracy of indoor location systems are investigated. Base on the analysis results, we present an AP selection strategy for indoor location by proposing a novel AP selection index for test point. By using the experiment data, the K-Nearest Neighbor(KNN) and weighted-KNN(WKNN) indoor location methods are carried out to illustrate the performance proposed AP selection strategy. The performance of our AP selection strategy is validated by comparing with the exhaustive AP selection strategy, the fisher AP selection strategy and the largest RSSI strength AP selection strategy. The experiment results show that the proposed AP selection strategy can improve the location accuracy of indoor location with Wi-Fi.
Consensus is a fundamental and important problem for cooperative *** paper mainly studies the consensus of networked multi-agent systems with nonlinear couplings via pinning *** adaptive desired weighting consensus pr...
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ISBN:
(纸本)9781479947249
Consensus is a fundamental and important problem for cooperative *** paper mainly studies the consensus of networked multi-agent systems with nonlinear couplings via pinning *** adaptive desired weighting consensus protocol is proposed to control a small fraction of pinned agents for directed ***,an adaptive controller gain average consensus protocol is presented via the selected pinning agents for weighted directed *** conditions for achieving the desired consensus asymptotically are ***,theoretical results are validated via simulations.
In this work, inspired from this biological motivation that in living cells, the execution time of different biological processes is difficult to know precisely and very sensitive to environmental factors that might b...
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In this paper, we present a new adaptive backstepping control design method to solve the overparametrization problem in parameter estimation. Unlike the existing schemes, the concept of tuning functions is not ***, th...
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In this paper, we present a new adaptive backstepping control design method to solve the overparametrization problem in parameter estimation. Unlike the existing schemes, the concept of tuning functions is not ***, the number of parameter estimates is reduced to be minimal, which is exactly the same as that of unknown parameters. The parametric strict-feedback system is employed to illustrate our design procedure.
There are currently several ways of wireless access to support vehicular communication, including vehicular ad-hoc networks (VANETs) and cellular networks (off-the-shelf 3G and LTE). It is necessary to make a seamless...
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ISBN:
(纸本)9781479944484
There are currently several ways of wireless access to support vehicular communication, including vehicular ad-hoc networks (VANETs) and cellular networks (off-the-shelf 3G and LTE). It is necessary to make a seamless handover decision to guarantee quality of service (QoS) of communications for a vehicle moving in the regions covered by more than one access networks. In this paper, we provide a performance guaranteed optimized handover decision algorithm. With this algorithm, the communication of vehicles can handover through heterogeneous wireless access networks not only to reach overall load balance among all access points, but also to maximize the data rate of the whole networks as well as the vehicles' fairness. In addition, in the process of decision making, the data rate of handover vehicles is estimated. Simulations are performed to demonstrate the efficiency of the proposed algorithm.
Clinical practice guidelines aim to help doctors and patients to improve the quality of care, reduce unjustified practice variations and reduce healthcare costs. The study of medical events is of special significance ...
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Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In this work, we consider SN P systems with the re...
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Model predictive control (MPC) has attracted wide attention in process industries with its ability to handle constrained multivariable processes. Computational complexity can become a limiting factor when MPC is appli...
Model predictive control (MPC) has attracted wide attention in process industries with its ability to handle constrained multivariable processes. Computational complexity can become a limiting factor when MPC is applied to large-scale systems with fast sampling times. In this paper, a control scheme known as multi-step robust MPC is presented for polytopic uncertain multi-input systems. Only one or several state feedback laws are optimized at each time interval to reduce computational complexity. A set invariance condition for polytopic uncertain systems is identified and the invariant set is determined by solving a linear matrix inequality (LMI) optimization problem. Based on the set invariance condition, a min-max multi-step robust MPC scheme is proposed. Numerical simulations show the effectiveness of the proposed scheme.
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