Complex psychiatry最新文献

英文中文

Solitary wave solutions of coupled boussinesq equation 耦合bussinesq方程的孤波解

Complex psychiatry

Pub Date : 2016-11-01 DOI: 10.1002/cplx.21791

R. Abazari, S. Jamshidzadeh, A. Biswas

This article presents the general case-study of our previous works regarding generalized Boussinesq equations [17, 18, 19], that focus on application of various subordinate methods where are applied to construct more general exact solutions of the coupled Boussinesq equations. In this article, the -expansion method is applied on coupled Boussinesq equations. Our work is motivated by the fact that the -expansion method provides not only more general forms of solutions but also periodic, solitary waves, and rational solutions. The method appears to be easier and faster by means of a symbolic manipulation program. © 2016 Wiley Periodicals, Inc. Complexity, 2016

本文介绍了我们之前关于广义Boussinesq方程的一般案例研究[17,18,19]，重点是应用各种从属方法来构建耦合Boussinesq方程的更一般精确解。本文将-展开法应用于耦合Boussinesq方程。我们的工作受到这样一个事实的激励，即-展开方法不仅提供了更一般形式的解，而且还提供了周期解、孤波解和有理解。通过符号操作程序，该方法显得更加简单和快捷。©2016 Wiley期刊公司复杂性,2016

引用次数: 32

Day-ahead price forecasting based on hybrid prediction model 基于混合预测模型的日前价格预测

Complex psychiatry

Pub Date : 2016-11-01 DOI: 10.1002/cplx.21792

J. Olamaee, Mohsen Mohammadi, A. Noruzi, S. Hosseini

Short-Term Price Forecast is a key issue for operation of both regulated power systems and electricity markets. Energy price forecast is the key information for generating companies to prepare their bids in the electricity markets. However, this forecasting problem is complex due to nonlinear, nonstationary, and time variant behavior of electricity price time series. So, in this article, the forecast model includes wavelet transform, autoregressive integrated moving average, and radial basis function neural networks (RBFN) is presented. Also, an intelligent algorithm is applied to optimize the RBFN structure, which adapts it to the specified training set, reduce computational complexity and avoids over fitting. Effectiveness of the proposed method is applied for price forecasting of electricity market of mainland Spain and its results are compared with the results of several other price forecast methods. These comparisons confirm the validity of the developed approach. © 2016 Wiley Periodicals, Inc. Complexity, 2016

短期电价预测是调控电力系统和电力市场运行的关键问题。能源价格预测是发电企业准备在电力市场投标的关键信息。然而，由于电价时间序列的非线性、非平稳和时变行为，该预测问题比较复杂。为此，本文提出了基于小波变换、自回归积分移动平均和径向基函数神经网络(RBFN)的预测模型。采用智能算法对RBFN结构进行优化，使其适应于指定的训练集，降低了计算复杂度，避免了过拟合。将该方法的有效性应用于西班牙大陆电力市场的价格预测，并与其他几种价格预测方法的结果进行了比较。这些比较证实了所开发方法的有效性。©2016 Wiley期刊公司复杂性,2016

引用次数: 15

H∞ synchronization of coupled reaction-diffusion neural networks with mixed delays 混合时滞耦合反应-扩散神经网络的H∞同步

Complex psychiatry

Pub Date : 2016-11-01 DOI: 10.1002/CPLX.21782

P. He, Yangmin Li

The reaction-diffusion neural network is often described by semilinear diffusion partial differential equation (PDE). This article focuses on the asymptotical synchronization and synchronization for coupled reaction-diffusion neural networks with mixed delays (that is, discrete and infinite distributed delays) and Dirichlet boundary condition. First, using the Lyapunov–Krasoviskii functional scheme, the sufficient condition is obtained for the asymptotical synchronization of coupled semilinear diffusion PDEs with mixed time-delays and this condition is represented by linear matrix inequalities (LMIs), which is easy to be solved. Then the robust synchronization is considered in temporal-spatial domain for the coupled semilinear diffusion PDEs with mixed delays and external disturbances. In terms of the technique of completing squares, the sufficient condition is obtained for the robust synchronization. Finally, a numerical example of coupled semilinear diffusion PDEs with mixed time-delays is given to illustrate the correctness of the obtained results. © 2016 Wiley Periodicals, Inc. Complexity, 2016

反应-扩散神经网络通常用半线性扩散偏微分方程来描述。本文主要研究了具有混合延迟(即离散和无限分布延迟)和Dirichlet边界条件的耦合反应-扩散神经网络的渐近同步和同步问题。首先，利用Lyapunov-Krasoviskii泛函格式，得到了具有混合时滞的耦合半线性扩散偏微分方程渐近同步的充分条件，该条件用线性矩阵不等式(lmi)表示，易于求解;然后考虑了具有混合时滞和外部干扰的耦合半线性扩散偏微分方程的时空鲁棒同步问题。利用平方补全技术，得到了鲁棒同步的充分条件。最后，给出了具有混合时滞的耦合半线性扩散偏微分方程的数值算例，验证了所得结果的正确性。©2016 Wiley期刊公司复杂性,2016

引用次数: 17

Optimal economic load dispatch based on wind energy and risk constrains through an intelligent algorithm 基于风能和风险约束的智能负荷优化经济调度

Complex psychiatry

Pub Date : 2016-11-01 DOI: 10.1002/cplx.21829

Sina Ghaffari, G. Aghajani, A. Noruzi, Hadi Hedayati Mehr

This article focus on optimal economic load dispatch based on an intelligent method of shark smell optimization (SSO). In this problem, the risk constrains has been considered which has root in uncertainity and unpredictable behavior of wind power. Regarding to increasing of this clean energy in power systems and un-dispatchable behavior of wind power, its conditional value at risk index considered in this article which consists of loss from load and “spilling” wind energy connected with unpredictable imbalances among generation and load. This problem has been considered as an optimization problem based on SSO that evaluate the balance between cost and risk. This algorithm is based on distinct shark smell abilities for localizing the prey. In sharks' movement, the concentration of the odor is an important factor to guide the shark to the prey. In other words, the shark moves in the way with higher odor concentration. This characteristic is used in the proposed SSO algorithm to find the solution of an optimization problem. Effectiveness of the proposed method has been applied over 30-bus power system in comparison with other techniques. © 2016 Wiley Periodicals, Inc. Complexity, 2016

本文研究了基于鲨鱼气味优化(SSO)的智能负荷优化经济调度方法。在此问题中考虑了风险约束，其根源在于风电的不确定性和不可预测性。针对这一清洁能源在电力系统中的不断增加和风电的不可调度行为，本文考虑了风电的条件风险值指标，该指标由负荷损失和“外溢”风能组成，并与发电与负荷之间不可预测的不平衡有关。该问题被认为是一个基于单点登录的成本与风险平衡的优化问题。该算法基于鲨鱼独特的嗅觉能力来定位猎物。在鲨鱼的运动中，气味的集中是引导鲨鱼找到猎物的重要因素。换句话说，鲨鱼以气味浓度较高的方式移动。所提出的单点登录算法利用这一特性寻找优化问题的解。与其他技术相比，该方法已在30母线电力系统中得到了有效的应用。©2016 Wiley期刊公司复杂性,2016

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引用次数: 7

Robust guaranteed cost control for discrete-time systems via partially delay-dependent controller with linear fractional uncertainties 基于线性分数不确定性部分时滞相关控制器的离散系统鲁棒保成本控制

Complex psychiatry

Pub Date : 2016-11-01 DOI: 10.1002/cplx.21787

P. Balasubramaniam, Nishanthi Dhanasekaran, Jarina Banu Liyakath Ali

In this article, a partially delay-dependent controller is designed to analyze the guaranteed performance analysis of a class of uncertain discrete-time systems with time-varying delays. By constructing suitable Lyapunov–Krasovskii Functional (LKF), sufficient conditions are derived to ensure the system to be robustly stochastically stable in mean square sense by using Wirtinger-based inequality and convex reciprocal lemma. The proper cost function is chosen to guarantee an adequate level of performance. The derived conditions are expressed in terms of linear matrix inequalities (LMIs) which can be easily solved by LMI Toolbox in MATLAB. Further, the advantage of employing the obtained results is illustrated via numerical examples. © 2016 Wiley Periodicals, Inc. Complexity 21: 113–122, 2016

针对一类具有时变时滞的不确定离散系统的保性能分析问题，设计了部分时滞相关控制器。通过构造合适的Lyapunov-Krasovskii泛函(LKF)，利用Wirtinger-based不等式和凸互反引理，得到了系统在均方意义上鲁棒随机稳定的充分条件。选择合适的成本函数以保证足够的性能水平。推导出的条件用线性矩阵不等式(LMI)的形式表示，用MATLAB中的LMI工具箱可以方便地求解。此外，通过数值算例说明了采用所得结果的优点。©2016 Wiley期刊公司中文信息学报(英文版)，2016

引用次数: 4

Complex relationships among firm risk, asymmetric volatility, volatility skew, and the leverage effect 企业风险、不对称波动、波动偏态与杠杆效应的复杂关系

Complex psychiatry

Pub Date : 2016-11-01 DOI: 10.1002/cplx.21812

C. Hsiao, D. Chang, Shu-Ming Liu

引用次数: 0

Synchronization of memristor-based delayed BAM neural networks with fractional-order derivatives 基于记忆电阻的分数阶导数延迟BAM神经网络的同步

Complex psychiatry

Pub Date : 2016-11-01 DOI: 10.1002/cplx.21821

R. Chinnathambi, Fathalla A. Rihan, S. Lakshmanan, R. Rakkiyappan, M. Palanisamy

This article deals with the problem of synchronization of fractional-order memristor-based BAM neural networks (FMBNNs) with time-delay. We investigate the sufficient conditions for adaptive synchronization of FMBNNs with fractional-order 0 < α < 1. The analysis is based on suitable Lyapunov functional, differential inclusions theory, and master-slave synchronization setup. We extend the analysis to provide some useful criteria to ensure the finite-time synchronization of FMBNNs with fractional-order 1 < α < 2, using Mittag-Leffler functions, Laplace transform, and linear feedback control techniques. Numerical simulations with two numerical examples are given to validate our theoretical results. Presence of time-delay and fractional-order in the model shows interesting dynamics. © 2016 Wiley Periodicals, Inc. Complexity, 2016

研究了具有时滞的分数阶记忆器神经网络的同步问题。研究分数阶为0 < α < 1的fmbnn自适应同步的充分条件。分析基于合适的Lyapunov泛函、微分内含物理论和主从同步设置。利用Mittag-Leffler函数、拉普拉斯变换和线性反馈控制技术，对分数阶1 < α < 2的fmbnn的有限时间同步提供了一些有用的准则。通过两个算例进行了数值模拟，验证了理论结果。模型中时滞和分数阶的存在表现出有趣的动力学特性。©2016 Wiley期刊公司复杂性,2016

引用次数: 30

Optimal capacitor placement to minimizing cost and power loss in Tehran metro power distribution system using ETAP (A case study) 采用ETAP的德黑兰地铁配电系统优化电容器布局以最大限度地降低成本和功率损耗(案例研究)

Complex psychiatry

Pub Date : 2016-11-01 DOI: 10.1002/cplx.21828

M. Ghiasi, J. Olamaei

Most loads in the power distribution system of Tehran Metro (Subway) are inductive and lead to poor power factor (PF) especially in Lighting and Power Substation. One of the methods of PF correction is adding or producing the capacitive components within the circuit to eliminate the effect of inductive loads. Optimal capacitor placement (OCP), with the objects of power system voltage profile improvement, PF correction, loss reduction, and line reactive power decrease are of particular importance in power system control and planning. These objects depend on how the capacitive components are installation and to achieve them, since the capacitor placement is nonlinear problem and has some equally and inequality constraint. This article investigates OCP in the actual power distribution grid of Tehran Metro (Line 2) in the presence of nonlinear loads. The placement problem is solved using Genetic Algorithms as implemented in the Electrical Transient Analyser Program software. Results (capacity release, total generation, loading, demand, power losses and number of capacitor banks, costs and annual benefits) are obtained and analysed. This study and simulation shows that by OCP can calculate reduce annual losses and release capacity of equipment in power distribution grid of Tehran Metro such as cables and transformers from reactive power and that will maximize profits. © 2016 Wiley Periodicals, Inc. Complexity, 2016

德黑兰地铁(地铁)配电系统中大部分负载为感应负载，导致功率因数较差，特别是在照明和变电所。PF校正的方法之一是在电路中增加或产生容性元件以消除感性负载的影响。电容器优化配置(OCP)在电力系统控制和规划中具有重要意义，其目标是改善电力系统的电压分布、校正PF、降低损耗和降低线路无功功率。这些目标取决于电容元件的安装方式和实现方式，因为电容的放置是非线性问题，并且具有一些等和不等式约束。本文对德黑兰地铁2号线实际配电网中存在非线性负荷时的OCP进行了研究。利用遗传算法解决了该问题，并在电瞬变分析仪程序软件中实现。得到并分析了结果(容量释放、总发电量、负载、需求、功率损耗和电容器组数量、成本和年度效益)。研究和仿真结果表明，利用OCP可以计算出德黑兰地铁配电网中电缆、变压器等设备无功功率的年损耗和释放容量，从而实现效益最大化。©2016 Wiley期刊公司复杂性,2016

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引用次数: 24

Network theory and behavioral finance in a heterogeneous market environment 异质市场环境下的网络理论与行为金融学

Complex psychiatry

Pub Date : 2016-11-01 DOI: 10.1002/cplx.21834

K. Khashanah, Talal Alsulaiman

This article addresses the stock market as a complex system. The complexity of the stock market arises from the structure of the environment, agent heterogeneity, interactions among agents, and interactions with market regulators. We develop the idea of a meta-model, which is a model of models represented in an agent-based model that allows us to investigate this type of market complexity. The novelty of this article is the incorporation of various complexities captured by network theoretical models or induced by investment behavior. The model considers agents heterogeneous in terms of their strategies and investment behavior. Four investment strategies are included in the model: zero-intelligence, fundamental strategy, momentum (trend followers), and adaptive trading strategy using the artificial neural network algorithm. In terms of behavior, the agents can be risk averse or loss occupied with overconfidence or conservative biases. The agents may interact with each other by sharing market sentiments through a structured scale-free network. The market regulator controls the market through various control tools such as the risk-free rate and taxation. Parameters are calibrated to the S&P500. The calibration is implemented using a scatter search heuristic approach. The model is validated using various stylized facts of stock return patterns such as excess kurtosis, auto-correlation, and ARCH effect phenomena. Analysis at the macro and micro level of the market was performed by measuring the sensitivity of volatility and market capital and investigating the wealth distributions of the agents. We found that volatility is more sensitive to the model parameters than to market capital, and thus, the level of volatility does not affect market capital. In addition, the findings suggest that the efficient market hypothesis holds at the macro level but not at the micro level. © 2016 Wiley Periodicals, Inc. Complexity 21: 530–554, 2016

本文将股票市场视为一个复杂的系统。股票市场的复杂性源于环境的结构、代理人的异质性、代理人之间的相互作用以及与市场监管机构的相互作用。我们提出了元模型的概念，这是一个用基于代理的模型表示的模型的模型，它允许我们研究这种类型的市场复杂性。本文的新颖之处在于将网络理论模型捕捉到的或由投资行为引起的各种复杂性结合在一起。该模型考虑了代理人在策略和投资行为方面的异质性。模型包括四种投资策略:零智能、基本策略、动量(趋势跟随)和使用人工神经网络算法的自适应交易策略。在行为方面，代理人可以是风险厌恶者，或者被过度自信或保守偏见所占据。代理人可以通过一个结构化的无标度网络，通过分享市场情绪来相互作用。市场监管机构通过无风险利率、税收等各种调控工具对市场进行调控。参数是根据标准普尔500指数校准的。采用散点搜索启发式方法实现校准。该模型使用股票回报模式的各种风格化事实(如超额峰度、自相关和ARCH效应现象)进行验证。通过测量波动率和市场资本的敏感性以及调查代理人的财富分布，对市场进行宏观和微观层面的分析。我们发现波动率对模型参数比对市场资本更敏感，因此，波动率水平不影响市场资本。此外，研究结果表明，有效市场假说在宏观层面上成立，但在微观层面上不成立。©2016 Wiley期刊公司中文信息学报(英文版)，2016

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引用次数: 18

Dissipative analysis for discrete-time systems via fault-tolerant control against actuator failures 基于执行器故障容错控制的离散时间系统耗散分析

Complex psychiatry

Pub Date : 2016-11-01 DOI: 10.1002/cplx.21836

T. Saravanakumar, R. Sakthivel, P. Selvaraj, S. Anthoni

引用次数: 14

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Complex psychiatry

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