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2013 10th IEEE International Conference on Control and Automation (ICCA)最新文献

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Performance evaluation of packed tower liquid desiccant dehumidifier based on LSSVM 基于LSSVM的填料塔液体干燥剂除湿机性能评价
Pub Date : 2013-06-12 DOI: 10.1109/ICCA.2013.6565050
Xinli Wang, Jiangang Lu, Qinmin Yang, W. Cai, Youxian Sun
In this paper, an empirical model based on least square support vector machine (LSSVM) method to predict the output air conditions in a packed tower liquid desiccant dehumidifier is developed. By analysis of the coupled heat and mass transfer between the process air and desiccant solution, six variables are used as the inputs of the LSSVM model, namely: desiccant solution and air flow rates, desiccant solution and air inlet temperature, desiccant concentration, and air relative humidity. Meanwhile, outlet air temperature and relative humidity related with the performance of the dehumidifier are considered as the outputs of the LSSVM model. Compared with the existing theoretical models, the present one is very simple, yet accuracy, and does not need complex theoretical analysis. The experimental results illustrate the effectiveness of the proposed model on performance predicting in a packed tower liquid desiccant dehumidifier. This developed model is expected to have widely applications in performance evaluation, operational monitoring, fault detection and diagnosis.
本文提出了一种基于最小二乘支持向量机(LSSVM)方法的经验模型,用于预测填料塔式液体干燥剂除湿机的输出空气条件。通过分析过程空气与干燥剂溶液之间的耦合传热传质,采用6个变量作为LSSVM模型的输入,分别为:干燥剂溶液与空气流速、干燥剂溶液与空气入口温度、干燥剂浓度、空气相对湿度。同时,将与除湿机性能相关的出风口温度和相对湿度作为LSSVM模型的输出。与现有的理论模型相比,该模型简单而准确,不需要复杂的理论分析。实验结果表明,该模型对填料塔式液体干燥剂除湿机性能预测是有效的。该模型在性能评价、运行监测、故障检测与诊断等方面具有广泛的应用前景。
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引用次数: 2
Leader following consensus for multi-agent systems with stochastic packet dropout 随机丢包的多智能体系统的领导一致性
Pub Date : 2013-06-12 DOI: 10.1109/ICCA.2013.6564861
Xiang Gong, Yaodong Pan, Jianning Li, H. Su
This paper is to develop a novel consensus algorithm or protocol for multi-agent systems in the event of communication link failure over the network. System dynamics are defined as a double-integrator system with the topology of MAS modeled by the graph theory. Bernoulli distribution is applied to represent the data dropout during operation. The sufficient conditions for the stabilization controller design is developed by Lyapunov-based methodologies and Linear matrix inequality (LMIs) techniques. The feasibility of the given LMIs is analyzed to ensure the stabilization controller design, which ensures the MAS to achieve the consensus. Leader-following numerical simulations with a group of agents are successfully conducted to demonstrate the effectiveness of the novel consensus algorithm in this paper. The results are studied to show that the consensus achievement is incorporating with the data loss probability up to 95%, however the higher data loss rate may cause longer time for agents to achieve consensus.
本文旨在开发一种新的多智能体系统在网络通信链路故障情况下的共识算法或协议。将系统动力学定义为一个双积分器系统,MAS的拓扑结构用图论建模。采用伯努利分布表示运行过程中的数据丢失。利用李雅普诺夫方法和线性矩阵不等式(lmi)技术,给出了稳定控制器设计的充分条件。分析了给定lmi的可行性,以确保稳定化控制器的设计,从而保证MAS达到共识。成功地进行了一组智能体的领导跟随数值模拟,验证了新共识算法的有效性。研究结果表明,在数据丢失概率高达95%的情况下,agent达成共识的时间较长,但数据丢失率越高,agent达成共识的时间越长。
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引用次数: 8
Indoor location tracking using low-cost modules 使用低成本模块的室内位置跟踪
Pub Date : 2013-06-12 DOI: 10.1109/ICCA.2013.6565171
K. Yogaprakash, Wee-Seng Soh
Over the last several years, there has been rapid growth in the adoption of Wireless Local Area Networks (WLAN) technology. While WLAN technology is primarily used for internet/intranet communication, the existing hardware infrastructure of WLAN can also be used to support localization systems. This paper discusses the development of a low-cost localisation system for use in Singapore's hospitals, most of which are covered by a nation-wide wireless broadband programme. Such a system can be used to track children or critical equipment in the hospitals. This system involves the use of received signal strength indicator values (RSSI) of unique beacons to derive the position of a low-cost mobile node that is capable of scanning for these beacons' RSSI values. This paper discusses the implementation details of the system and the accuracy of 2 indoor positioning algorithms from tests conducted in a lab area of 165m2.
在过去的几年中,无线局域网(WLAN)技术的采用迅速增长。虽然WLAN技术主要用于internet/intranet通信,但现有的WLAN硬件基础设施也可用于支持本地化系统。本文讨论了用于新加坡医院的低成本本地化系统的开发,其中大多数都被全国范围的无线宽带计划所覆盖。这样的系统可以用来跟踪儿童或医院的关键设备。该系统涉及使用唯一信标的接收信号强度指标值(RSSI)来导出能够扫描这些信标的RSSI值的低成本移动节点的位置。本文通过在165m2的实验室区域进行的测试,讨论了系统的实现细节和两种室内定位算法的精度。
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引用次数: 3
A new reachability tree for unbounded Petri nets 无界Petri网的一种新的可达树
Pub Date : 2013-06-12 DOI: 10.1109/ICCA.2013.6565008
Yue Li, Shouguang Wang, J. Yang
Petri nets can be viewed as graphical models and mathematical tools to study discrete event system. As a basic analysis tool of Petri nets, reachability trees are fundamental for systematically investigating many characteristics. In this paper, a new reachability tree for unbounded generalized Petri nets is proposed. This new method can decrease the number of nodes in the new reachability tree besides avoidance of some spurious markings which appear in other reachability trees. Several examples are provided to illustrate its superiority.
Petri网可以看作是研究离散事件系统的图形模型和数学工具。可达树作为Petri网的基本分析工具,是系统研究许多特征的基础。提出了一种新的无界广义Petri网的可达树。该方法不仅可以减少新可达树的节点数,而且可以避免其他可达树中出现的一些虚假标记。通过实例说明了该方法的优越性。
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引用次数: 1
Real-time optimization of rate of penetration during drilling operation 钻进过程中钻进速度的实时优化
Pub Date : 2013-06-12 DOI: 10.1109/ICCA.2013.6564893
D. Sui, Roar Nybø, V. Azizi
The increase of drilling safety and the reduction of drilling operation costs, especially the improvement of drilling efficiency, are two important considerations. In general the rate of penetration (ROP) optimization means that the drilling parameters such as weight on bit (WOB) and rotary speed (RPM) are adjusted to drill the present formation most efficiently. In this paper, the Bourgoyne and Young ROP model had been selected to study the effects of several parameters during drilling operation. We present an advanced method for the ROP calculation and its optimization. A moving-horizon multiple regression method is proposed, which reduces the estimation error of the existing ROP models by continuously calibrating the model coefficients based on real-time data. Furthermore, a model predictive control (MPC) strategy is applied to achieve the ROP optimization to satisfy drilling requirements. The performance of the methodology is demonstrated by using realworld data from a North Sea well.
提高钻井安全性和降低钻井作业成本,特别是提高钻井效率是两个重要的考虑因素。一般来说,优化钻速(ROP)意味着调整钻压(WOB)和转速(RPM)等钻井参数,以最有效地钻进当前地层。本文选择Bourgoyne和Young ROP模型,研究钻井过程中几个参数的影响。提出了一种先进的机械钻速计算及优化方法。提出了一种移动水平多元回归方法,通过基于实时数据对模型系数进行连续校正,降低了现有ROP模型的估计误差。此外,采用模型预测控制(MPC)策略实现ROP优化,以满足钻井要求。通过北海一口井的实际数据验证了该方法的性能。
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引用次数: 19
Fuzzy decentralized control for a class of networked control systems with time delays and missing measurements 一类具有时滞和测量缺失的网络控制系统的模糊分散控制
Pub Date : 2013-06-12 DOI: 10.1109/ICCA.2013.6565073
Feng Zhou, Lu Liu, G. Feng
This paper is concerned with the stochastic stability of a class of discrete-time networked control systems (NCS) with uncertain network-induced time delays and missing measurements by using a fuzzy decentralized control approach. We model nonlinear systems in Takagi-Sugetno (T-S) form and then develop fuzzy decentralized state feedback controllers with missing measurements. A sufficient condition on stochastic stability in the mean-square sense for the NCS is obtained by using Lyapunov function method. The constructive design of the controllers is expressed as the linear matrix inequality (LMI). Finally, a numerical simulation is provided to illustrate the result of this paper.
本文用模糊分散控制方法研究了一类具有不确定网络时滞和测量缺失的离散网络控制系统的随机稳定性问题。我们以Takagi-Sugetno (T-S)形式对非线性系统进行建模,然后开发了具有缺失测量值的模糊分散状态反馈控制器。利用李雅普诺夫函数方法,得到了NCS在均方意义上随机稳定的充分条件。控制器的构造设计用线性矩阵不等式(LMI)来表示。最后,通过数值模拟来说明本文的研究结果。
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引用次数: 1
Dynamic mean-CVaR portfolio optimization in continuous-time 连续时间动态均值- cvar组合优化
Pub Date : 2013-06-12 DOI: 10.1109/ICCA.2013.6565128
Jianjun Gao, Y. Xiong
The conditional value-at-risk(CVaR) is defined as the expected value of the tail distribution exceeding Value-at-Risk(VaR). As a kind of risk measure, CVaR recently receives much attention from both academic field and financial industry. However, due to the tractability, most of the studies on mean-CVaR portfolio optimization are restricted to the static portfolio analysis, where only buy-and-hold portfolio policy is computed numerically. In this paper, we study the dynamic portfolio policy of the mean-CVaR portfolio model, in which the investor is allowed to adjust the investment policy dynamically to minimize the CVaR of the portfolio as well as keep certain level of the expected return. On recognizing the ill-posed nature of such a problem in continuous-time model, we modify the model by imposing the limited funding level as the upper bound of the wealth. By using the martingale approach, we develop the explicit portfolio policy and mean-CVaR efficient frontier for such a problem.
条件风险值(CVaR)定义为尾部分布的期望值超过风险值(VaR)。CVaR作为一种风险度量,近年来受到了学术界和金融界的广泛关注。然而,由于其可追溯性,大多数关于平均cvar投资组合优化的研究仅限于静态投资组合分析,其中仅对买入持有投资组合策略进行数值计算。本文研究了均值-CVaR组合模型的动态投资策略,该模型允许投资者动态调整投资策略,使投资组合的CVaR最小化,同时保持一定水平的预期收益。在认识到这类问题在连续时间模型中的病态性质后,我们通过将有限的资金水平作为财富的上界来修改模型。利用鞅方法,给出了该类问题的显式投资组合策略和均值- cvar有效边界。
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引用次数: 4
H∞ filtering of discrete-time switched systems with average dwell time under asynchronous switching 异步切换下平均停留时间离散切换系统的H∞滤波
Pub Date : 2013-06-12 DOI: 10.1109/ICCA.2013.6564869
Jun Cheng, Yong Zeng, Hong Zhu, S. Zhong, Yuping Zhang
This paper is concerned with the H∞ filter design problem for a class of switched discrete-time system with average dwell time under asynchronous switching. Since the unmatched filters are allowed to perform in the interval of asynchronous switching before the matched ones, the issue of asynchronous switching between system modes and filters are investigated based on the average dwell time approach and multiple Lyapunov-like function method, and the sufficient conditions are presented for the filtering error system to be exponentially stable with a prescribed H∞ performance. At last, an example is given to illustrate the effectiveness of the proposed method.
研究了一类具有平均停留时间的切换离散系统在异步切换条件下的H∞滤波器设计问题。由于允许不匹配滤波器在匹配滤波器之前进行异步切换,基于平均停留时间方法和多重lyapunov类函数方法研究了系统模式和滤波器之间的异步切换问题,并给出了滤波误差系统具有指数稳定和规定H∞性能的充分条件。最后通过一个算例说明了所提方法的有效性。
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引用次数: 0
Estimating stable delay interval using discretized Lyapunov-Krasovskii functional method 离散化Lyapunov-Krasovskii泛函方法估计稳定延迟区间
Pub Date : 2013-06-12 DOI: 10.1109/ICCA.2013.6565019
Yong-ming Li, K. Gu, Shengyuan Xu
The discretized Lyapunov-Krasovskii functional (DLF) method is asymptotically accurate in stability analysis for time-delay systems. In general, a system may have multiple stable delay intervals, and DLF is especially effective to study such systems. In this article, a DLF-based method is proposed to accurately estimate the maximum stable delay interval without using bisection, when one point in this interval is given. The formulation uses generalized eigenvalue problem (GEVP) of linear matrix inequalities (LMIs), and iterations may be used to reach the analytical limits either in finite number of steps or asymptotically. The coupled differential-difference equations are used to illustrate the method. However, the idea can be easily adapted to traditional differential-difference equation setting.
离散化Lyapunov-Krasovskii泛函(DLF)方法在时滞系统稳定性分析中具有渐近精度。一般来说,一个系统可能有多个稳定的延迟区间,DLF对于研究这类系统特别有效。本文提出了一种基于dlf的方法,当该区间中的一个点给定时,可以不使用对分法准确估计最大稳定延迟区间。该公式采用线性矩阵不等式(lmi)的广义特征值问题(GEVP),迭代可以达到有限步数或渐近的解析极限。用耦合微分-差分方程来说明该方法。然而,这种思想可以很容易地适用于传统的微分-差分方程的设置。
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引用次数: 1
Multi-sensor multi-OOSM distributed sequential fusion filtering 多传感器多oosm分布式序列融合滤波
Pub Date : 2013-06-12 DOI: 10.1109/ICCA.2013.6564995
Feng Xiaoliang, Wen Chenglin, Xu Lizhong
Multi-sensor fusion for OOSM system is still an open question in the field of wireless sensor network. In this paper, a new distributed sequential fusion algorithm for multi-sensor system with one-step-lag OOSMs is proposed in the sense of minimum trace of error covariance matrix. The main idea of this real time sequential fusion algorithm is that: firstly, an equivalent measurement “sampled” at the fusion time is obtained, once a measurement comes to the fusion center; then, a local estimation of the current state is obtained based on the equivalent measurement; furthermore, first round fusion is carried out for the second local estimate and the first local estimate to obtain the first local fusion when the second measurement comes; another round of fusion process is carried out for the third local estimate and the first local fusion estimation. Repeating this process until all the measurements are fused, sequentially. The final simulation illustrates its efficiency and validity of the proposed method.
面向OOSM系统的多传感器融合一直是无线传感器网络领域的一个有待解决的问题。本文提出了一种基于误差协方差矩阵最小跟踪意义的单步滞后oosm多传感器系统分布式序列融合算法。该实时序列融合算法的主要思想是:首先,当一个测量值到达融合中心时,在融合时间得到一个“采样”的等效测量值;然后,基于等效测量得到当前状态的局部估计;进一步,对第二次局部估计和第一次局部估计进行第一轮融合,以获得第二次测量时的第一次局部融合;对第三次局部估计和第一次局部融合估计进行另一轮融合过程。重复这个过程,直到所有的测量都融合在一起。最后的仿真验证了该方法的有效性和有效性。
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引用次数: 1
期刊
2013 10th IEEE International Conference on Control and Automation (ICCA)
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