Construction of one-gray weight codes and two-Gray weight codes over ℤ<Subscript>4</Subscript> + <Emphasis Type="Italic">u</Emphasis>ℤ<Subscript>4</Subscript>

This paper firstly gives some necessary conditions on one-Gray weight linear codes. And then we use these results to construct several classes of one-Gray weight linear codes over ?₄+u?₄(u ² = u) with type \({16^{{k_1}}}{8^{{k_2}}}{8^{{k_3}}}{4^{{k_4}}}{4^{{k_5}}}{4^{{k_6}}}{2^{{k_7}}}{2^{{k_8}}}\) based on a distance-preserving Gray map from (?₄ + u?₄) ⁿ to ? ₄ ²ⁿ . Secondly, the authors use the similar approach to do works on two-Gray (projective) weight linear codes. Finally, some examples are given to illustrate the construction methods.     

Discrete-time mean-field stochastic <Emphasis Type="Italic">H</Emphasis><Subscript>2</Subscript>/<Emphasis Type="Italic">H</Emphasis><Subscript>∞</Subscript> control

The finite horizon H ₂/H _∞ control problem of mean-field type for discrete-time systems is considered in this paper. Firstly, the authors derive a mean-field stochastic bounded real lemma (SBRL). Secondly, a sufficient condition for the solvability of discrete-time mean-field stochastic linearquadratic (LQ) optimal control is presented. Thirdly, based on SBRL and LQ results, this paper establishes a sufficient condition for the existence of discrete-time stochastic H ₂/H _∞ control of meanfield type via the solvability of coupled matrix-valued equations.     

Properties of storage functions and applications to nonlinear stochastic <Emphasis Type=Italic>H</Emphasis><Subscript>∞</Subscript> control

This paper discusses the properties of the storage functions for a class of nonlinear stochastic systems. Some necessary and sufficient conditions for a function to be a storage function are derived. As applications, the finite and infinite horizon nonlinear stochastic H _∞ controls for systems with state, control, and external disturbance dependent noise are investigated, which generalize the previous results.     

<Emphasis Type="Italic">H</Emphasis><Subscript>∞</Subscript> control for stochastic systems with Poisson jumps

This paper discusses the H _∞ control problem for a class of linear stochastic systems driven by both Brownian motion and Poisson jumps. The authors give the basic theory about stabilities for such systems, including internal stability and external stability, which enables to prove the bounded real lemma for the systems. By means of Riccati equations, infinite horizon linear stochastic state-feedback H _∞ control design is also extended to such systems.     

Guidance laws based on <Emphasis Type="Italic">H</Emphasis><Subscript>∞</Subscript> observer considering measurement noises

Since in practice the line-of-sight (LOS) rate is difficult for a pursuer to measure accurately, the robust nonlinear H _∞ observer is applied to estimate it using LOS azimuths without any priori information of target maneuvers or its estimate in the presence of measurement noise. A threedimensional guidance law is implemented by replacing the LOS rate with their estimates using only relative range, speed, and LOS azimuths. The stability analyses and performed simulations results show that the presented approach is effective.     

<Emphasis Type="Italic">H</Emphasis><Subscript>∞</Subscript> control for nonlinear stochastic Markov systems with time-delay and multiplicative noise

This paper is concerned with the H_∞ control problem for a class of nonlinear stochastic Markov jump systems with time-delay and system state-, control input- and external disturbancedependent noise. Firstly, by solving a set of Hamilton-Jacobi inequalities (HJIs), the exponential mean square H_∞ controller design of delayed nonlinear stochastic Markov systems is presented. Secondly, by using fuzzy T-S model approach, the H_∞ controller can be designed via solving a set of linear matrix inequalities (LMIs) instead of HJIs. Finally, two numerical examples are provided to show the effectiveness of the proposed design methods.     

Fuzzy Static Output Feedback <Emphasis Type="Italic">H</Emphasis><Subscript>∞</Subscript> Control for Nonlinear Systems Subject to Parameter Uncertainties

This study is concerned with the stabilization issue of nonlinear systems subject to parameter uncertainties. An interval type-2 T-S fuzzy model is used to represent the nonlinear systems subject to parameter uncertainties. An interval type-2 fuzzy static output feedback controller is designed to synthesize the interval type-2 T-S fuzzy systems. The membership-function-dependent stability conditions are derived by utilizing the information of upper and lower membership functions. The proposed stability conditions are presented in the form of linear matrix inequalities (LMIs). LMI-based stability conditions for interval type-2 fuzzy static output feedback H_∞ control synthesis are also developed. Several simulation examples are given to show the superiority of the proposed approach.     

Asymptotic normality of wavelet estimator in heteroscedastic model with <Emphasis Type="Italic">α</Emphasis>-mixing errors

Consider heteroscedastic regression model Y _ni = g(x _ni ) + σ _ni ɛ _ni (1 ≤ i ≤ n), where σ _ni ² = f(u _ni ), the design points (x _ni , u _ni ) are known and nonrandom, g(·) and f(·) are unknown functions defined on closed interval [0, 1], and the random errors {ɛ _ni , 1 ≤ i ≤ n} are assumed to have the same distribution as {ξ _i , 1 ≤ i ≤ n}, which is a stationary and α-mixing time series with Eξ _i = 0. Under appropriate conditions, we study asymptotic normality of wavelet estimators of g(·) and f(·). Finite sample behavior of the estimators is investigated via simulations, too.     

Systemic Model for Diagnosis of the Micro,Small and Medium Enterprises from Two Cities from the Countryside of the State of <Emphasis Type="Italic">São Paulo</Emphasis> in Brazil

This article presents a proposal of a systemic model composed for the micro and small companies (MSE) of the region of Ribeirão Preto and the agents which influenced their environment. The proposed model was based on Stafford Beer’s (Diagnosing the system for organizations. Chichester, Wiley, 1985) systemic methodologies VSM (Viable System Model) and on Werner Ulrich’s (1983) CSH (Critical Systems Heuristics). The VSM is a model for the diagnosis of the structure of an organization and of its flows of information through the application of the cybernetics concepts (Narvarte, In El Modelo del Sistema Viable—MSV: experiencias de su aplicación en Chile. Proyecto Cerebro Colectivo del IAS, Santiago, 2001). On the other hand, CSH focus on the context of the social group applied to the systemic vision as a counterpoint to the organizational management view considered by the VSM. MSE of Ribeirão Preto and Sertãozinho had been analyzed as organizations inserted in systems that relate and integrate with other systems concerning the public administration, entities of representation and promotion agencies. The research questions: which are the bonds of interaction among the subsystems in this process and who are the agents involved? The systemic approach not only diagnosed a social group, formed by MSE of Ribeirão Preto and Sertãozinho, public authorities and support entities, but could also delineate answers that aimed the clarification of obscure questions generating financial assistance to the formularization of efficient actions for the development of this system.     

A new <Emphasis Type=Italic>ɛ</Emphasis>-generalized projection method of strongly sub-feasible directions for inequality constrained optimization

In this paper, the nonlinear optimization problems with inequality constraints are discussed. Combining the ideas of the strongly sub-feasible directions method and the ɛ-generalized projection technique, a new algorithm starting with an arbitrary initial iteration point for the discussed problems is presented. At each iteration, the search direction is generated by a new ɛ-generalized projection explicit formula, and the step length is yielded by a new Armijo line search. Under some necessary assumptions, not only the algorithm possesses global and strong convergence, but also the iterative points always get into the feasible set after finite iterations. Finally, some preliminary numerical results are reported.     

An analysis of the evolution of developers' role in open-source software community北大核心CSCD

In this paper, we collect developers' logs and mailing list information of 10 versions from Tomcat 6 during the time ranges from 2006 to 2010. Then we perform an evolution analysis on developers' activities. According to the trend of developers' activities, we extract typical evolutional patterns. Finally, a comparison between developers' contribution to the specific work and different evolution patterns is made. The results show that five typical evolution patterns exist in the developers network and those developers under different evolution patterns engage different work. ©, 2015, The Journal Agency of Complex Systems and Complexity Science. All right reserved.     

An improved form of the ELMS algorithm

1.INTRODUCTION Adaptiveechocancellersarewidelyemployedintele conferencingsystemsinordertocompensateforthe impairmentinthequalityduotoundesiredechoesre sultingfromcouplingbetweenloudspeakerandmicro phone.Inastereophonicenvironment,thefunda mentalproblemofechocancellationisthatgiventhe inputtotheloudspeakersandtheoutputofthemicro phonesinthereceivingroom,theechopathcannot bedetermineduniquely[3,8,9].Theproblemisdueto thecorrelationbetweenthestereosignals.Asare sult,anyadaptivetechniqueusedi…     

An analysis of patient register data in the Longitudinal Study - what does it tell us about the quality of the data?

This article uses data for members of the ONS Longitudinal Study (LS) from both Census 2001 enumeration and patient registrations "frozen" on census day 2001 from the National Health Service Central Register (NHSCR) to examine potential sources of difference in area of usual residence.Overall 95.7 per cent of ONS LS members enumerated at census resided in the same area as recorded on the NHSCR data. Where areas differed, or the ONS LS member was not on the NHSCR on census day, subsequent NHSCR records were examined. Records flagged on the NHSCR as ONS LS members in England and Wales on census day but with no census record were also investigated.     

An Analysis of Reliability and Competitiveness of a Corporation in China

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An Optimal Experimental Method of the Large Scale Linear System

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An Application of Optimal Preview Control in Terrain Following System

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An Improved Heuristic Algorithm of Attribute Reduction in Rough Set

This paper introduces background of rough set theory, then proposes a new algorithm for finding optimal reduction and make comparison between the original algorithm and the improved one by the experiment about the nine standard data set in UL database to explain the validity of the improved heuristic algorithm.     

An Application of Fuzzy Decision Theory in Combat Decision Simulation

In this paper a model of military command process under the combat situation is presented. The model is based on the Lanchester Equations and Fuzzy Decision Theory. The decision of a military commander is usually a process from precise to fuzzy and then from fuzzy to precise,and the model fitted this process well. The model was used in a Warfare Simulation System whose object is to evaluate the effectiveness of the military C3I systems.     

Application of the Season Time Series Model to Forecast the Rainfall in the Area of Well Irrigation Rice in the Sanjiang Plain

The area of well irrigation rice became more and more, so the crisis of groundwater appeared. Making the most of rainfall is an availability method in water saving irrigation, increasing water temperature and raising yield. Just based on this, through applying the theory of season random time series, according to the data of average monthly rainfall (1981 - 1999), the authors build up the forecasting model in the area of well irrigation rice in the Sanjiang Plain. Through contrasting with practical value, the model has good effect.So, it can be used in water irrigation management.     

An Efficient Technique for Updating the Principal Component Analysis in Dynamic Databases

Storage and retrieval of multimedia objects has become a requirement for many contemporary systems．For example，given an image database，one may want to retrieve all images that are similar to a query image．Asmany content-based retrieval techniques for digital imagery use a feature vector approach to represent image contents，it is desirable to reduce the dimensionality of the data，whilst maintaining as much of its original structure．Several dimensionality reduction techniques are available．The most popular one is PCA，which works well for static databases．In this paper，we present a novel scheme for performing PCA-based dimensionality reduction in dynamic databases．Instead of using the entire dataset，we only recompute the PCA transform matrix on the updating dataset．Note that the size of the updating dataset is usually much smaller than that of the entire data，this technique may reduce the PCA computation time complexity without losing exactness．In addition，the updates to the database are based on the existing dimensionality-reduced data vectors rather than the original high-dimensional data vectors，which may relieve the system overhead for the management of the original high-dimensional data．