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第37届中国控制会议

作者： Man Hao Weihua Cao Zhentao Liu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

A demand analysis method based on takagi-sugeno（T-S） fuzzy model for drinking service is proposed to provide corresponding services according to users’ emotions and intentions in human-robot interaction,in which T-S fuzzy model is used to establish the relationship among human intention and human ***,the transformation of input and output is ***,fuzzy rules are formulated,and then fuzzy inference is applied to get user’s demand corresponding to emotion and *** proposal considers peoples fuzziness in inferring humans intention,which could help the robots to provide satisfied drinking service to *** validate the proposal,drinking service experiments are performed in a laboratory scenario using a humans-robots interaction system,from which the experimental results demonstrate the feasibility of the proposal.

关键词： Demand Analysis takagi-sugeno model Drinking Service Human-Robot Interaction

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Design of fuzzy sliding mode controller for SISO discrete-time systems

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控制理论与应用（英文版） 2004年第3期2卷 253-258页

作者： YangMI YuanweiJING FacultyofInformationScienceandEngineering NortheasternUniversityShenyangLiaoning110004China

According to a class of nonlinear SISO discrete systems, the fiizzy sliding mode control problem is considered. Based on takagi-sugeno fuzzy model method, a fuzzy model is designed to describe the local dynamic performance of the given nonlinear systems. By using the sliding mode control approach, the global controller is constructed by integrating all the local state controllers and the global supervisory sliding mode controller. The tracking problem can be easily dealt with by taking advantage of the combined controller,and the robustness performance is improved finally. A simulation example is given to show the effectiveness and feasibility of the method proposed.

关键词： Fuzzy sliding mode controller Nonlinear discrete systems takagi-sugeno model

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A Dynamic Radon Replenishment Control Method of Radon-Aerosol Chamber

A Dynamic Radon Replenishment Control Method of Radon-Aeroso...

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第十四届全国核物理大会暨第十届会员代表大会

作者： Shumin Zhou, Rui Chen, XiongJie Zhang, Bin Tang Engineering Research Center of Nuclear Technology Application (East China Institute of Technology), Ministry of Education,330013, Nanchang, Jiangxi, China

As a kind of radioactive gas,radon has the characteristics of radioactive decay and statistical *** radon concentration is always in a dynamic changing process,it is difficult to implement the accurate

关键词： takagi-sugeno model fuzzy controller Radioactive aerosol radon concentration

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Data-Driven Fuzzy modeling For Nonlinear dynamic System

Data-Driven Fuzzy Modeling For Nonlinear dynamic System

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2011 Chinese Control and Decision Conference（CCDC）

作者： Hao Wan-Jun,is with the Suzhou University of sience and tecnology,Suzhou 215011 china.Beihua University,Jilin 132021,China Qiao yan-Hui S.B.Author,Jr.,was with Suzhou University of sience and tecnology,Suzhou 215011 china.Beihua University,Jilin 132021,China,Zhu Xue-Li,Li Ze

In this paper,A new method for dynamic learning of takagi-sugeno （T-S） model based on input-output data is *** is based on a novel learning algorithm that recursively updates T-S model structure and parameters by combining supervised and unsupervised *** rule-base and parameters of the T-S model continually evolve by adding new rules with more summarization power and by modifying existing rules and *** reduce the complexity of fuzzy models while keeping good model accuracy,orthogonal least squares （OLS） method algorithm is used to remove redundant fuzzy rules,at the sametime the consequent parameters of the T-S model are identified and *** approach has been successfully applied to T-S models of non-linear dynamical system modeling.

关键词： takagi-sugeno model Fuzzy Clustering orthogonal least squares

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modeling and Stability Analysis of DC-DC Buck Converter via takagi-sugeno Fuzzy Approach

Modeling and Stability Analysis of DC-DC Buck Converter via ...

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2008 3rd International Conference on Intelligent System and Knowledge Engineering(ISKE 2008)

作者： Kamyar Mehran Damian Giaouris Bashar Zahawi School of Electrical Electronic and Computer Engineering Newcastle University Newcastle upon Tyne UK Member IEEE

The DC-DC voltage-mode controlled buck converter is a nonlinear, nonsmooth system that presents different circuit topologies within one switching cycle. This paper develops a takagi-sugeno fuzzy approach for modeling this circuit to cap- ture all the essential nonlinearities that occur in fast time scale. Based on the resulting model, we propose tractable mathematical stability analysis for identifying fast-scale instabilities of the converter, more specifically the edge of bifurcation phenomena, employing nonsmooth Lyapunov functions. The search for the Lyapunov functions are formulated as Linear Matrix Inequalities （LMI） feasibility problem which easily can be solved using up- to-date interior point methods.

关键词： Stability analysis Buck converters takagi-sugeno model Lyapunov method Nonlinear control systems Voltage control Control systems Circuit topology Switching circuits Mathematical model

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