Complex psychiatry最新文献

{"title":"Complexity","authors":"W. Fontana, S. Ballati","doi":"10.1002/(SICI)1099-0526(199901/02)4:3%3C14::AID-CPLX3%3E3.0.CO;2-O","DOIUrl":"https://doi.org/10.1002/(SICI)1099-0526(199901/02)4:3%3C14::AID-CPLX3%3E3.0.CO;2-O","url":null,"abstract":"C onsider a single molecule of water. Many of its properties, such as bond lengths, bond angles, and energy levels, can be calculated from quantum mechanics, the appropriate theory at the atomic scale of matter. Add 10 further molecules of water, and you’ve got a liquid, which is described by hydrodynamics—an altogether different ball game than quantum mechanics. Eddies and vortices don’t exist at the level of a single molecule. Decrease the temperature, and the liquid freezes. Now you can push the rear side of a block of ice and the front side moves instantaneously along with it. Rigidity is hardly a property of a fluid or a gas. A very large number of water molecules thus constitute an “object” so rich that it needs a different theory at different temperatures! In the early 1970s, Phil Anderson, a Nobel Laureate and member of the SFI Science Board, coined the slogan “More is different” (Science, 177:393–396, 1972). Emergence points to the fact that new properties come to dominate a system’s behavior as we increase its degrees of freedom or as we tune a parameter to break a symmetry. There are different mechanisms for emergence. Yet they all depend on the fairly obvious fact that the components of a system interact. Increasing the number of interactions, or emphasizing certain interactions over others (breaking symmetry), triggers feedback loops among the components, giving rise to collective behavior. Components that are locked into such behavior can be treated together as a new unit. While the composition of a system has remained the same, its internal boundaries—which suggest how to parse a system into “parts”— have been redrawn from within. This forces a change in the way we describe that system and how we must think about it. For example, we do not think of the air over the U.S. as a flowing gas, but we think of it in terms of cold and warm fronts or huge vortices such as hurricanes. Those who emphasize the global view of a system say that “the whole is more than the sum of its parts,” where the “more” refers to properties deriving from WALTER FONTANA AND SUSAN BALLATI","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"42 1","pages":"14-16"},"PeriodicalIF":0.0,"publicationDate":"2018-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85120381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"State estimation for complex networks with randomly varying nonlinearities and sensor failures","authors":"Renquan Lu, Shengshuang Chen, Yong Xu, Hui Peng, Kan Xie","doi":"10.1002/cplx.21832","DOIUrl":"https://doi.org/10.1002/cplx.21832","url":null,"abstract":"The current study is focused on the l2−l∞ state estimator design for the discrete-time complex networks with sensor failures and randomly varying nonlinearities. Bernoulli process is adopted to describe the randomly varying nonlinearities, and the norm-bounded uncertain model is used to deal with the sensor failures. Then, a set of sufficient conditions are provided to guarantee that the estimation error system is stochastically stable with the prescribed l2−l∞ property. Then, using the linear matrix inequality method, the estimator gains are obtained. Finally, the effectiveness of the proposed new design method is illustrated through a numerical example. © 2016 Wiley Periodicals, Inc. Complexity 21: 507–517, 2016","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"65 1","pages":"507-517"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74602235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Positioning control for a linear actuator with nonlinear friction and input saturation using output-feedback control","authors":"Nan Wang, Jinyong Yu, Weiyang Lin","doi":"10.1002/cplx.21797","DOIUrl":"https://doi.org/10.1002/cplx.21797","url":null,"abstract":"This article deals with the positioning control problem via the output feedback scheme for a linear actuator with nonlinear disturbances. In this study, the proposed controller accounts for not only the nonlinear friction, force ripple, and external disturbance but also the input saturation problem. In detail, the energy consumption for conquering friction and disturbance rejection is estimated and used as compensation based on the hybrid controller including and sliding-mode-based adaptive algorithms, which ensures the tracking performance and robustness of electromechanical servo system. Moreover, to confront the input saturation, a saturation observer and an anti-windup controller are designed. The global robustness of the controller is guaranteed by an output feedback robust law. Theoretically, the designed controller can guarantee a favorable tracking performance in the presence of various disturbance forces and input saturation, which is essential for high accuracy motion plant in industrial application. The simulation results verify the robustness and effectiveness for the motion system with the proposed control strategy under various operation conditions. © 2016 Wiley Periodicals, Inc. Complexity, 2016","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"22 1","pages":"191-200"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85487552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fuzzy predictive temperature control for a class of metallurgy lime kiln models","authors":"Xugang Feng, Shicheng Huo, Jiayan Zhang, Hao Shen","doi":"10.1002/cplx.21802","DOIUrl":"https://doi.org/10.1002/cplx.21802","url":null,"abstract":"","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"14 1","pages":"249-258"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80988055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solitary wave solutions of coupled boussinesq equation","authors":"R. Abazari, S. Jamshidzadeh, A. Biswas","doi":"10.1002/cplx.21791","DOIUrl":"https://doi.org/10.1002/cplx.21791","url":null,"abstract":"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","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"1 1","pages":"151-155"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89669251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Day-ahead price forecasting based on hybrid prediction model","authors":"J. Olamaee, Mohsen Mohammadi, A. Noruzi, S. Hosseini","doi":"10.1002/cplx.21792","DOIUrl":"https://doi.org/10.1002/cplx.21792","url":null,"abstract":"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","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"295 1","pages":"156-164"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79667745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"H∞ synchronization of coupled reaction-diffusion neural networks with mixed delays","authors":"P. He, Yangmin Li","doi":"10.1002/CPLX.21782","DOIUrl":"https://doi.org/10.1002/CPLX.21782","url":null,"abstract":"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","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"88 1 1","pages":"42-53"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84049120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal economic load dispatch based on wind energy and risk constrains through an intelligent algorithm","authors":"Sina Ghaffari, G. Aghajani, A. Noruzi, Hadi Hedayati Mehr","doi":"10.1002/cplx.21829","DOIUrl":"https://doi.org/10.1002/cplx.21829","url":null,"abstract":"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","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"62 1","pages":"494-506"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80155432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust guaranteed cost control for discrete-time systems via partially delay-dependent controller with linear fractional uncertainties","authors":"P. Balasubramaniam, Nishanthi Dhanasekaran, Jarina Banu Liyakath Ali","doi":"10.1002/cplx.21787","DOIUrl":"https://doi.org/10.1002/cplx.21787","url":null,"abstract":"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","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"1 1","pages":"113-122"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88972657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Complex relationships among firm risk, asymmetric volatility, volatility skew, and the leverage effect","authors":"C. Hsiao, D. Chang, Shu-Ming Liu","doi":"10.1002/cplx.21812","DOIUrl":"https://doi.org/10.1002/cplx.21812","url":null,"abstract":"","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"118 1","pages":"329-341"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86423288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}