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| 1 | Pareto-optimality approach for flexible job-shop scheduling problems: hybridization of evolutionary algorithms and fuzzy logic显示文摘 | Imed Kacem Slim Hammadi Pierre Borne | 2002 | Mathematics and Computers in Simulation2002，，3： | 2 |
| 2 | Robust gain scheduling controller for pitch regulated variable speed wind turbine显示文摘 | Fabien Lescher Jing Yun Zhao Pierre Borne | | Studies in Informatics and Control0，14，4： | 1 |
| 3 | Approach by localication and rnuhiobjective evolutionary optimization for flexible job-shop scheduling problems显示文摘 | Imed Kacem Slim Hammadi Pierre Borne | 2002 | IEEE Trans on Systems Man and Cybernetics Part C2002，32，1： | 1 |
| 4 | Robust Gain Scheduling Controller for Pitch Regulated Variable Speed Wind Turbine 显示文摘 | Fabien Lescher Jing Yun Zhao Pierre Borne | | Studies in Informatics and control0，14，4： | 1 |
| 5 | Robust gain scheduling controller for pitch regulated variable speed wind turbine显示文摘 | Lescher Fabien Zhao Jingyun Borne Pierre | 2005 | Studies in Informatics and Control2005，14，4： | 1 |
| 6 | Pareto-optimalityapproach for flexible job-shop scheduling problems hybridizationof evolutionary algorithms and fuzzy logic 显示文摘 | Imed Kacem Slim Hammadi Pierre Borne | 2002 | Mathematics andComputers in Simulation2002，60，： | 1 |
| 7 | Robust Gain Scheduling Controller for Pitch Regulated Variable Speed Wind Turbine显示文摘 | Fabien Lescher Jing Yun Zhao Pierre Borne | | Studies in Informatics and control0，14，4： | 1 |
| 8 | Diabetes Risk Gene and Wnt Effector Tcf7l2 /TCF4 Controls Hepatic Response to Perinatal and Adult Metabolic Demand显示文摘 | Sylvia F. Boj Johan H. van Es Meritxell Huch Vivian S.W. Li Anabel José Pantelis Hatzis Michal Mokry Andrea Haegebarth Maaike van den Born Pierre Chambon Peter Voshol Yuval Dor Edwin Cuppen Cristina Fillat Hans Clevers | 2012 | Cell2012，，7： | 1 |
| 9 | ON THE DESIGN OF A NEURO-FUZZY CONTROLLER–APPLICATION TO THE CONTROL OF A BIOREACTOR显示文摘This paper presents a new methodological approach for the synthesis of a neuro-fuzzy controller, using an on-line learning procedure. A simple algebraic formulation of a Sugeno fuzzy inference system that ensures a coherent universe of discourse, making easy its interpretation by a human being, is proposed and implemented in the case of the control of a bioreactor, which is considered as a complex non linear process. | Joseph HAGGEGE Mohamed BENREJEB Pierre BORNE | 2005 | Journal of Systems Science and Systems Engineering2005，14，4： | 1 |
| 10 | Multimodel Approach for Intelligent Control and Applications显示文摘The use of the multimodel approach in the modelling, analysis and control of non-linear complex and/or ill-defined systems was advocated by many researchers. This approach supposes the definition of a set of local models valid in a given region or domain. Different strategies exist in the literature and are generally based on a partitioning of the non-linear system’s full range of operation into multiple smaller operating regimes each of which is associated with a locally valid model or controller. However, most of these strategies, which suppose the determination of these local models as well as their validity domain, remain arbitrary and are generally fixed thanks to a certain a priori knowledge of the system whatever its order. Recently, we have proposed a new approach to derive a multimodel basis which allows us to limit the number of models in the basis to almost four models. Meanwhile, the transition problem between the different models, which may use either a simple commutation or a fusion technique, remains still arise. In this plenary talk, a fuzzy fusion technique is presented and has the following main advantages: (1) use of a fuzzy partitioning in order to determine the validity of each model which enhances the robustness of the solution; 2 introduction, besides the four extreme models, of another model, called average model, determined as an average of the boundary models. | Abdelkader El Kamel Pierre Borne | 2004 | Journal of Donghua University(English Edition)2004，21，3： | 0 |
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