Discrete Dynamics in Nature and Society http://www.hindawi.com The latest articles from Hindawi Publishing Corporation © 2015 , Hindawi Publishing Corporation . All rights reserved. An Intercomparison between ERA-Interim Reanalysis and Observed Precipitation in Northeast China Wed, 25 Nov 2015 06:15:28 +0000 http://www.hindawi.com/journals/ddns/2015/693923/ Recently, the European Center for Medium-Range Weather Forecasts (ECMWF) released a new set of reanalysis data—ERA-Interim. We make an intercomparison between ERA-Interim precipitation and observed precipitation in Northeast China. The results show that, in general, the ERA-Interim reanalysis precipitation data can describe the spatial and temporal characteristics of seasonal precipitation in Northeast China well. In terms of spatial distribution, ERA-Interim precipitation is generally consistent with the observation data in different seasons in Northeast China. There is a larger difference in the center of Northeast China than in other areas between the two kinds of data. The ERA-Interim precipitation is larger than observed precipitation in most of Northeast China. In spring, autumn, and winter, the ERA-Interim precipitation value is close to the observation one, while in summer there is a large difference in Liaoning Peninsula and Changbai Mountain between the two kinds of precipitation data. In terms of temporal characteristics, the time series of the ERA-Interim precipitation matches well with the observed precipitation in whole. In different seasons, the annual variation of the ERA-Interim precipitation is well correlated with that of the observed precipitation. Jie Zhou and Junhu Zhao Copyright © 2015 Jie Zhou and Junhu Zhao. All rights reserved. Constrained Controllability of the -Difference Fractional Control Systems with Caputo Type Operator Tue, 24 Nov 2015 09:15:25 +0000 http://www.hindawi.com/journals/ddns/2015/638420/ The problem of controllability to a given convex target set of linear fractional systems with -difference fractional operator of Caputo type is studied. Necessary and sufficient conditions of controllability with constrained controllers for such systems are given. Problem of approximation of a continuous-time system with Caputo fractional differential by a discrete-time system with -difference fractional operator of Caputo type is discussed. Ewa Pawluszewicz Copyright © 2015 Ewa Pawluszewicz. All rights reserved. Analysis of an Impulsive One-Predator and Two-Prey System with Stage-Structure and Generalized Functional Response Tue, 24 Nov 2015 06:40:17 +0000 http://www.hindawi.com/journals/ddns/2015/864367/ An impulsive one-predator and two-prey system with stage-structure and generalized functional response is proposed and analyzed. By reasonable assumption and theoretical analysis, we obtain conditions for the existence and global attractivity of the predator-extinction periodic solution. Sufficient conditions for the permanence of this system are established via impulsive differential comparison theorem. Furthermore, abundant results of numerical simulations are given by choosing two different and concrete functional responses, which indicate that impulsive effects, stage-structure, and functional responses are vital to the dynamical properties of this system. Finally, the biological meanings of the main results and some control strategies are given. Xiangmin Ma, Yuanfu Shao, Zhen Wang, Xianjia Fang, and Zhenguo Luo Copyright © 2015 Xiangmin Ma et al. All rights reserved. Dynamic Behaviors of a Leslie-Gower Ecoepidemiological Model Mon, 23 Nov 2015 11:37:39 +0000 http://www.hindawi.com/journals/ddns/2015/169242/ A Leslie-Gower ecoepidemic model with disease in the predators is constructed and analyzed. The total population is subdivided into three subclasses, namely, susceptible predator, infected predator, and prey population. The positivity, boundness of solutions, and the existence of the equilibria are studied, and the sufficient conditions of local asymptotic stability of the equilibria are obtained by the Routh-Hurwitz criterion. We analyze the global stability of the interior equilibria by using Lyapunov functions. It is observed that a Hopf bifurcation may occur around the interior equilibrium. At last, numeric simulations are performed in support of the feasibility of the main result. Aihua Kang, Yakui Xue, and Jianping Fu Copyright © 2015 Aihua Kang et al. All rights reserved. The Risk of Individual Stocks’ Tail Dependence with the Market and Its Effect on Stock Returns Mon, 23 Nov 2015 07:06:49 +0000 http://www.hindawi.com/journals/ddns/2015/980768/ Traditional beta is only a linear measure of overall market risk and places equal emphasis on upside and downside risks, but actually the latter is always much stronger probably due to the trading mechanism like short-sale constraints. Therefore, this paper employs the nonlinear measure, tail dependence, to measure the extreme downside risks that individual stocks crash together with the whole market and investigates whether such tail dependence risks will affect stock returns. Our empirical evidence based on Shanghai A shares confirms that most stocks display nonnegligible tail dependence with the whole market, and, more importantly, such tail dependence risks can indeed provide additional information beyond beta and other factors for asset pricing. In cross-sectional regression, it is proved that this tail dependence does help to explain monthly returns on Shanghai A shares, whereas the time-series regression further indicates that mimicking portfolio returns for tail dependence can capture strong common variation of Shanghai A stock returns. Guobin Fan, Eric Girardin, Wong K. Wong, and Yong Zeng Copyright © 2015 Guobin Fan et al. All rights reserved. Learning Bounds of ERM Principle for Sequences of Time-Dependent Samples Thu, 19 Nov 2015 13:48:17 +0000 http://www.hindawi.com/journals/ddns/2015/826812/ Many generalization results in learning theory are established under the assumption that samples are independent and identically distributed (i.i.d.). However, numerous learning tasks in practical applications involve the time-dependent data. In this paper, we propose a theoretical framework to analyze the generalization performance of the empirical risk minimization (ERM) principle for sequences of time-dependent samples (TDS). In particular, we first present the generalization bound of ERM principle for TDS. By introducing some auxiliary quantities, we also give a further analysis of the generalization properties and the asymptotical behaviors of ERM principle for TDS. Mingchen Yao, Chao Zhang, and Wei Wu Copyright © 2015 Mingchen Yao et al. All rights reserved. Stability of Runge-Kutta Methods for Neutral Delay Differential Equations Thu, 19 Nov 2015 08:07:21 +0000 http://www.hindawi.com/journals/ddns/2015/127027/ This paper is concerned with the numerical stability of a class of nonlinear neutral delay differential equations. The numerical stability results are obtained for -algebraically stable Runge-Kutta methods when they are applied to this type of problem. Numerical examples are given to confirm our theoretical results. Liping Wen, Xiong Liu, and Yuexin Yu Copyright © 2015 Liping Wen et al. All rights reserved. Dynamics of Uncertain Discrete-Time Neural Network with Delay and Impulses Tue, 17 Nov 2015 12:19:30 +0000 http://www.hindawi.com/journals/ddns/2015/431027/ The stability of discrete-time impulsive delay neural networks with and without uncertainty is investigated. First, by using Razumikhin-type theorem, a new less conservative condition for the exponential stability of discrete-time neural network with delay and impulse is proposed. Moreover, some new sufficient conditions are derived to guarantee the stability of uncertain discrete-time neural network with delay and impulse by using Lyapunov function and linear matrix inequality (LMI). Finally, several examples with numerical simulation are presented to demonstrate the effectiveness of the obtained results. Xuehui Mei, Liwei Zhang, Haijun Jiang, and Zhiyong Yu Copyright © 2015 Xuehui Mei et al. All rights reserved. A Nonmonotone Weighting Self-Adaptive Trust Region Algorithm for Unconstrained Nonconvex Optimization Tue, 17 Nov 2015 06:33:12 +0000 http://www.hindawi.com/journals/ddns/2015/825839/ A new trust region method is presented, which combines nonmonotone line search technique, a self-adaptive update rule for the trust region radius, and the weighting technique for the ratio between the actual reduction and the predicted reduction. Under reasonable assumptions, the global convergence of the method is established for unconstrained nonconvex optimization. Numerical results show that the new method is efficient and robust for solving unconstrained optimization problems. Yunlong Lu, Weiwei Yang, Wenyu Li, Xiaowei Jiang, and Yueting Yang Copyright © 2015 Yunlong Lu et al. All rights reserved. Common Fixed Points of Generalized Cocyclic Mappings in Complex Valued Metric Spaces Mon, 16 Nov 2015 12:20:25 +0000 http://www.hindawi.com/journals/ddns/2015/147303/ We present fixed point results of mappings satisfying generalized contractive conditions in complex valued metric spaces. As an application, we obtain a common fixed point of a pair of weakly compatible mappings. Some common fixed point results of generalized contractive-type mappings involved in cocyclic representation of a nonempty subset of a complex valued metric space are also obtained. Some examples are also presented to support the results proved herein. These results extend and generalize many results in the existing literature. Mujahid Abbas, Manuel De la Sen, and Talat Nazir Copyright © 2015 Mujahid Abbas et al. All rights reserved. Zero-One Law for Connectivity in Superposition of Random Key Graphs on Random Geometric Graphs Mon, 16 Nov 2015 11:46:25 +0000 http://www.hindawi.com/journals/ddns/2015/982094/ We study connectivity property in the superposition of random key graph on random geometric graph. For this class of random graphs, we establish a new version of a conjectured zero-one law for graph connectivity as the number of nodes becomes unboundedly large. The results reported here strengthen recent work by the Krishnan et al. Y. Tang and Q. L. Li Copyright © 2015 Y. Tang and Q. L. Li. All rights reserved. Observer-Based Bounded Control for Discrete Time-Delay Uncertain Nonlinear Systems Mon, 16 Nov 2015 09:37:53 +0000 http://www.hindawi.com/journals/ddns/2015/135248/ A bounded controller is proposed for a class of uncertain discrete time-delay systems with nonlinearity and disturbance based on state estimator and disturbance observer technique. A state estimator is developed to estimate the unmeasured system state vector. Suppose that the disturbance is generated by an exogenous system; a disturbance observer is designed to estimate the unknown disturbance. The parameters of the state estimator and the disturbance observer are calculated by solving linear matrix inequalities (LMIs). By applying the outputs of the state estimator and the disturbance observer, the sufficient condition for the existence of the bounded controller is derived based on an appropriate Lyapunov function candidate. Under the developed bounded controller, the stability of the closed-loop system can be guaranteed. Simulation examples are provided to show the effectiveness of the proposed bounded control scheme. Bei Wu, Mou Chen, and Xiaoming Chen Copyright © 2015 Bei Wu et al. All rights reserved. Agent Based Modeling on Organizational Dynamics of Terrorist Network Wed, 11 Nov 2015 06:37:49 +0000 http://www.hindawi.com/journals/ddns/2015/237809/ Modeling organizational dynamics of terrorist network is a critical issue in computational analysis of terrorism research. The first step for effective counterterrorism and strategic intervention is to investigate how the terrorists operate with the relational network and what affects the performance. In this paper, we investigate the organizational dynamics by employing a computational experimentation methodology. The hierarchical cellular network model and the organizational dynamics model are developed for modeling the hybrid relational structure and complex operational processes, respectively. To intuitively elucidate this method, the agent based modeling is used to simulate the terrorist network and test the performance in diverse scenarios. Based on the experimental results, we show how the changes of operational environments affect the development of terrorist organization in terms of its recovery and capacity to perform future tasks. The potential strategies are also discussed, which can be used to restrain the activities of terrorists. Bo Li, Duoyong Sun, Renqi Zhu, and Ze Li Copyright © 2015 Bo Li et al. All rights reserved. Local Functional Coefficient Autoregressive Model for Multistep Prediction of Chaotic Time Series Tue, 10 Nov 2015 12:51:10 +0000 http://www.hindawi.com/journals/ddns/2015/329487/ A new methodology, which combines nonparametric method based on local functional coefficient autoregressive (LFAR) form with chaos theory and regional method, is proposed for multistep prediction of chaotic time series. The objective of this research study is to improve the performance of long-term forecasting of chaotic time series. To obtain the prediction values of chaotic time series, three steps are involved. Firstly, the original time series is reconstructed in m-dimensional phase space with a time delay τ by using chaos theory. Secondly, select the nearest neighbor points by using local method in the m-dimensional phase space. Thirdly, we use the nearest neighbor points to get a LFAR model. The proposed model’s parameters are selected by modified generalized cross validation (GCV) criterion. Both simulated data (Lorenz and Mackey-Glass systems) and real data (Sunspot time series) are used to illustrate the performance of the proposed methodology. By detailed investigation and comparing our results with published researches, we find that the LFAR model can effectively fit nonlinear characteristics of chaotic time series by using simple structure and has excellent performance for multistep forecasting. Liyun Su and Chenlong Li Copyright © 2015 Liyun Su and Chenlong Li. All rights reserved. Extraction of 10–30-Day Stable Components from a Boreal Atmosphere during ENSO Phases Sun, 08 Nov 2015 06:34:30 +0000 http://www.hindawi.com/journals/ddns/2015/919286/ Distinguishing the predictable 10–30-day stable components (STs) in the actual atmosphere has been important in atmospheric science research. In this study, a new method for extracting 10–30-day STs was developed with the use of historical observations. We extracted and analyzed 10–30-day STs via statistical extrapolation tests. The results show that the STs are maintained uniformly at the intraseasonal time scale; the overall trends in the atmospheric motion are revealed. Comparisons between pentad-by-pentad changes in the explained variances of the 10–30-day STs under ENSO phases show that the explained variance transmission attenuation trends for El Niño and La Niña years are weaker and more continuous than those of neutral years. Data for 10–30-day STs can remain continuous and stable from one month to the next. The proposed method and results present a new means of extracting predictable STs from the atmosphere using historical data. Kuo Wang, Guolin Feng, Yuxing Zeng, and Zhengquan Li Copyright © 2015 Kuo Wang et al. All rights reserved. Filtering and Control for Unreliable Communication 2015 Wed, 04 Nov 2015 12:45:22 +0000 http://www.hindawi.com/journals/ddns/2015/278018/ Guoliang Wei, Lifeng Ma, Zidong Wang, Derui Ding, and Jun Hu Copyright © 2015 Guoliang Wei et al. All rights reserved. Grey Wolf Optimizer Based on Powell Local Optimization Method for Clustering Analysis Mon, 02 Nov 2015 11:57:17 +0000 http://www.hindawi.com/journals/ddns/2015/481360/ One heuristic evolutionary algorithm recently proposed is the grey wolf optimizer (GWO), inspired by the leadership hierarchy and hunting mechanism of grey wolves in nature. This paper presents an extended GWO algorithm based on Powell local optimization method, and we call it PGWO. PGWO algorithm significantly improves the original GWO in solving complex optimization problems. Clustering is a popular data analysis and data mining technique. Hence, the PGWO could be applied in solving clustering problems. In this study, first the PGWO algorithm is tested on seven benchmark functions. Second, the PGWO algorithm is used for data clustering on nine data sets. Compared to other state-of-the-art evolutionary algorithms, the results of benchmark and data clustering demonstrate the superior performance of PGWO algorithm. Sen Zhang and Yongquan Zhou Copyright © 2015 Sen Zhang and Yongquan Zhou. All rights reserved. Dynamic Behaviors of a Discrete Periodic Predator-Prey-Mutualist System Sun, 01 Nov 2015 06:36:30 +0000 http://www.hindawi.com/journals/ddns/2015/247269/ A nonautonomous discrete predator-prey-mutualist system is proposed and studied in this paper. Sufficient conditions which ensure the permanence and existence of a unique globally stable periodic solution are obtained. We also investigate the extinction property of the predator species; our results indicate that if the cooperative effect between the prey and mutualist species is large enough, then the predator species will be driven to extinction due to the lack of enough food. Two examples together with numerical simulations show the feasibility of the main results. Liya Yang, Xiangdong Xie, and Fengde Chen Copyright © 2015 Liya Yang et al. All rights reserved. Approximate Method for Solving the Linear Fuzzy Delay Differential Equations Thu, 29 Oct 2015 13:59:34 +0000 http://www.hindawi.com/journals/ddns/2015/273830/ We propose an algorithm of the approximate method to solve linear fuzzy delay differential equations using Adomian decomposition method. The detailed algorithm of the approach is provided. The approximate solution is compared with the exact solution to confirm the validity and efficiency of the method to handle linear fuzzy delay differential equation. To show this proper features of this proposed method, numerical example is illustrated. S. Narayanamoorthy and T. L. Yookesh Copyright © 2015 S. Narayanamoorthy and T. L. Yookesh. All rights reserved. Threshold Research on Highway Length under Typical Landscape Patterns Based on Drivers’ Physiological Performance Wed, 28 Oct 2015 11:57:36 +0000 http://www.hindawi.com/journals/ddns/2015/753732/ The appropriately landscaped highway scenes may not only help improve road safety and comfort but also help protect ecological environment. Yet there is very little research data on highway length threshold with consideration of distinctive landscape patterns. Against this backdrop, the paper aims to quantitatively analyze highway landscape’s effect on driving behavior based on drivers’ physiological performance and quantify highway length thresholds under three typical landscape patterns, namely, “open,” “semiopen,” and “vertical” ones. The statistical analysis was based on data collected in a driving simulator and electrocardiograph. Specifically, vehicle-related data, ECG data, and supplemental subjective stress perception were collected. The study extracted two characteristic indices, lane deviation and LF/HF, and extrapolated the drivers’ U-shaped physiological response to landscape patterns. Models on highway length were built based on LF/HF’s variation trend with highway length. The results revealed that the theoretical highway length threshold tended to increase when the landscape pattern was switched to open, semiopen, and vertical ones. And the reliability and accuracy of the results were validated by questionnaires and field operational tests. Findings from this research will assist practitioners in taking active environmental countermeasures pertaining to different roadside landscape patterns. Xia Zhao, Zhonghua Wei, Zhixia Li, Yong Zhang, and Xingyu Feng Copyright © 2015 Xia Zhao et al. All rights reserved. The Maximizing Deviation Method Based on Interval-Valued Pythagorean Fuzzy Weighted Aggregating Operator for Multiple Criteria Group Decision Analysis Wed, 28 Oct 2015 11:51:19 +0000 http://www.hindawi.com/journals/ddns/2015/746572/ As a new extension of Pythagorean fuzzy set (also called Atanassov’s intuitionistic fuzzy set of second type), interval-valued Pythagorean fuzzy set which is parallel to Atanassov’s interval-valued intuitionistic fuzzy set has recently been developed to model imprecise and ambiguous information in practical group decision making problems. The aim of this paper is to put forward a novel decision making method for handling multiple criteria group decision making problems within interval-valued Pythagorean fuzzy environment based on interval-valued Pythagorean fuzzy numbers (IVPFNs). There are three key issues being addressed in this approach. The first is to introduce an interval-valued Pythagorean fuzzy weighted arithmetic averaging (IVPF-WAA) operator to aggregate the decision data in order to get the overall preference values of alternatives. Some desirable properties of the IVPF-WAA operator are also investigated. Based on the idea of the maximizing deviation method, the second is to establish an optimization model for determining the weights of criteria for each expert. The third is to construct a minimizing consistency optimal model to derive the weights of criteria for the group. Finally, an illustrating example is given to verify the proposed approach. Wei Liang, Xiaolu Zhang, and Manfeng Liu Copyright © 2015 Wei Liang et al. All rights reserved. The Existence of Exponential Attractor for Discrete Ginzburg-Landau Equation Tue, 27 Oct 2015 13:08:54 +0000 http://www.hindawi.com/journals/ddns/2015/217608/ This paper studies the following discrete systems of the complex Ginzburg-Landau equation: . Under some conditions on the parameters , and , we prove the existence of exponential attractor for the semigroup associated with these discrete systems. Guangyin Du, Zeqi Zhu, and Caidi Zhao Copyright © 2015 Guangyin Du et al. All rights reserved. Complex Dynamics in a Singular Delayed Bioeconomic Model with and without Stochastic Fluctuation Tue, 27 Oct 2015 12:37:47 +0000 http://www.hindawi.com/journals/ddns/2015/302494/ A singular delayed biological economic predator-prey system with and without stochastic fluctuation is proposed. The conditions of singularity induced bifurcation are gained, and a state feedback controller is designed to eliminate such bifurcation. Furthermore, saddle-node bifurcation is also showed. Next, the local stability of the positive equilibrium and the existence of Hopf bifurcation are obtained by analyzing the distribution of roots of the corresponding characteristic equation, and the hybrid control strategy is used to control the occurrence of Hopf bifurcation. In addition, some explicit formulas determining the spectral densities of the populations and harvest effort are given when the system is considered with stochastic fluctuation. Finally, numerical simulations are illustrated to verify the theoretical results. Xinyou Meng and Qingling Zhang Copyright © 2015 Xinyou Meng and Qingling Zhang. All rights reserved. Cooperative Passenger Inflow Control in Urban Mass Transit Network with Constraint on Capacity of Station Tue, 27 Oct 2015 12:19:59 +0000 http://www.hindawi.com/journals/ddns/2015/695948/ In urban mass transit network, when passengers’ trip demands exceed capacity of transport, the numbers of passengers accumulating in the original or transfer stations always exceed the safety limitation of those stations. It is necessary to control passenger inflow of stations to assure the safety of stations and the efficiency of passengers. We define time of delay (TD) to evaluate inflow control solutions, which is the sum of waiting time outside of stations caused by inflow control and extra waiting time on platform waiting for next coming train because of insufficient capacity of first coming train. We build a model about cooperative passenger inflow control in the whole network (CPICN) with constraint on capacity of station. The objective of CPICN is to minimize the average time of delay (ATD) and maximum time of delay (MTD). Particle swarm optimization for constrained optimization problem is used to find the optimal solution. The numeral experiments are carried out to prove the feasibility and efficiency of the model proposed in this paper. Jianyuan Guo, Limin Jia, Yong Qin, and Huijuan Zhou Copyright © 2015 Jianyuan Guo et al. All rights reserved. Research on the Interaction between Innovation and Port-City Economic System: A Case from China Tue, 27 Oct 2015 07:54:38 +0000 http://www.hindawi.com/journals/ddns/2015/692476/ Port city is the node in global commodity flows. It is open to the outside world and often the primary test field of new economic development model. To reduce the negative impact of the global economic crisis since 2008, various developing patterns have been tested in the port city. And the most effective way should rely on the city’s operation mechanism. Here a System Dynamics model is established to analyze the interaction process of the elements in the port-city system. Then choose Shenzhen city as the empirical case. By changing the proportion of R&D and fixed-asset investment, the impact of different economic measures on the system could be confirmed. The result shows that, in order to stabilize the port city’s economic growth, it should change the traditional development pattern to the innovation driven one. The former focuses on facilities investment and capacity expansion. The latter aims at port efficiency promoting and port business value increases. Zhen Chen Copyright © 2015 Zhen Chen. All rights reserved. Chaos and Bifurcations of a Leslie-Gower Food Chain with Strong Allee Effect Mon, 26 Oct 2015 09:01:23 +0000 http://www.hindawi.com/journals/ddns/2015/430985/ Allee effect, as an important biological phenomenon, has been considered in many ecosystems, whereas, its influence on interactions of three or more species is little investigated. In this paper we modify a three-species Leslie-Gower type food chain system by incorporating the strong Allee effect into the source. Our results show that the existence of Allee effect contributes to the occurrence of more complex dynamics of the system, including Hopf, saddle-node, transcritical, saddle-node-Hopf, period-doubling, and period-halving bifurcations and chaos. Chunshan Xue and Xia Liu Copyright © 2015 Chunshan Xue and Xia Liu. All rights reserved. Analysis of Dynamical Characteristic of Piecewise-Nonlinear Asymmetric Hysteretic System Based on Incremental Harmonic Balance Method Mon, 26 Oct 2015 08:14:09 +0000 http://www.hindawi.com/journals/ddns/2015/296085/ Considering a sort of elastic mass with asymmetric hysteresis characteristic which widespread existing in engineering field, a piecewise-nonlinear dynamical equation, which contains asymmetric hysteretic loop, is established. By using the method of Incremental Harmonic Balance (IHB), the analytic linearized algebraic equation of the system is obtained. On the basis of this algebraic equation, the coefficients of the algebraic expression are figured out by the incremental procedure and the iterative process of the regulated variable. Through the emulation, the amplitude frequency response curve and the relation between the value of the harmonic component and the external excitation are researched; the bistable regions of the bifurcation diagram of the system under the variation of the excitation amplitude are studied. The above results can be used to guide the research of the asymmetric hysteretic system with polynomial expression. H. R. Liu, J. Z. Li, D. X. Hou, R. R. Yin, and J. S. Jiang Copyright © 2015 H. R. Liu et al. All rights reserved. Advanced Software Ground Station and UAV Development for NLoS Control Using Mobile Communications Sun, 25 Oct 2015 06:31:15 +0000 http://www.hindawi.com/journals/ddns/2015/285746/ Over the last decades, Unmanned Aerial Systems (UASs) have gained much attention due to their various applications in different sections. However, their communication range is limited to utilized communication equipment. Therefore, utilization of GSM channels opens a new prospect towards long distance UAV missions and mobile command and control centers. This paper demonstrates new design and development of a small-scale UAV and a Ground Control Station (GCS) using GSM bidirectional communications for Non-Line of Sight (NLoS) long range control. GCSs are considered the front end node in UAV guidance process. Therefore, the proposed GCS employs a two-layer framework to consider all ground pilot requirements. Moreover, a new exploitation of global weather forecast data is added to the GCS. On the other hand, the proposed airborne system utilizes a new integration of different Commercial off-the-Shelf (COTS) components and excludes short range receivers. The ground and flight tests show that stable bidirectional GSM communication is established, reliable hardware integration is accomplished, real time performance is achieved, GCS functional fidelity is obtained, and low cost is maintained. Finally, some qualitative aspects of the proposed platform are presented to address the detailed features. Amr AbdElHamid, Peng Zong, and Bassant Abdelhamid Copyright © 2015 Amr AbdElHamid et al. All rights reserved. Almost Periodic Solution of a Discrete Commensalism System Thu, 22 Oct 2015 08:14:12 +0000 http://www.hindawi.com/journals/ddns/2015/295483/ A nonautonomous discrete two-species Lotka-Volterra commensalism system with delays is considered in this paper. Based on the discrete comparison theorem, the permanence of the system is obtained. Then, by constructing a new discrete Lyapunov functional, a set of sufficient conditions which guarantee the system global attractivity are obtained. If the coefficients are almost periodic, there exists an almost periodic solution and the almost periodic solution is globally attractive. Yalong Xue, Xiangdong Xie, Fengde Chen, and Rongyu Han Copyright © 2015 Yalong Xue et al. All rights reserved. A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks Thu, 22 Oct 2015 07:22:00 +0000 http://www.hindawi.com/journals/ddns/2015/683701/ Multisensor fusion and consensus filtering are two fascinating subjects in the research of sensor networks. In this survey, we will cover both classic results and recent advances developed in these two topics. First, we recall some important results in the development of multisensor fusion technology. Particularly, we pay great attention to the fusion with unknown correlations, which ubiquitously exist in most of distributed filtering problems. Next, we give a systematic review on several widely used consensus filtering approaches. Furthermore, some latest progress on multisensor fusion and consensus filtering is also presented. Finally, conclusions are drawn and several potential future research directions are outlined. Wangyan Li, Zidong Wang, Guoliang Wei, Lifeng Ma, Jun Hu, and Derui Ding Copyright © 2015 Wangyan Li et al. All rights reserved.