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第二十届中国控制会议

作者： Bin Liu, Fude Jin, Siying Zhang institute of Control Science, School of information Science & Engineering, Northeastern university, Shenyang, Liaoning, 110006, P. R. china, P.O.Box 135

＜正＞This paper studies the output-tracing problem of a class of strict-feedback system. Applying the fuzzy adaptive method, we can make the system trace the predicted output. One of the characters of this paper is the following: we connect the fuzzy method with backstepping, and enlarge the scale of the application of FZ adaptive method. The other character of this paper is that the Lyapunov function is an integral function, which is suitable for the recursive backstepping procedure.

关键词： Adaptive control nonlinear system strict-feedback system fuzzy control Luapunov function.

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Study on the Mechanics Properties of Bamboo Particle/Wood Fiber Composite Board

Study on the Mechanics Properties of Bamboo Particle/Wood Fi...

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2011 World Congress on Engineering and technology(CET 2011)

作者： Jian Han 1 a Yue Zou 2 b 1 2 College of Material Science and technology Central South university of Forestry and technology Changsha 410004 Hunan china

The tensile and curve mechanics properties of bamboo particle/wood fiber composite board,through BY602×2/150T computer program control mechanics tester and YD-28A resistance strain measuring instrument,were detected and *** study indicated that the longitudinal tensile strain of bamboo particle/wood fiber composite board mainly presented a linear increase,and the lateral tensile strain,the curve stress and strain presented all nonlinear increase with load *** tensile Poisson’s ratio and curve elasticity modulus of bamboo particle/wood fiber composite board all was not constants that tensile Poisson’s ratio was in 0.15-0.18,and curve elasticity modulus was in 1000-3000MPa,because of it was a kind of heterogeneity elasto-plastic material.

关键词： bamboo particle wood fiber composite board mechanics property

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Improved Recursive Least Squares Algorithm Based on Echo State Neural Network for nonlinear System Identification

Improved Recursive Least Squares Algorithm Based on Echo Sta...

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第三十届中国控制会议

作者： SONG Qingsong~(1,2),ZHAO Xiangmo~1,FENG Zuren~2 1.School of information Engineering,Chang''an university,Xi''an 710064,P.R.china 2.Systems Engineering institute,Xi''an Jiaotong university,Xi''an 710049,P.R.china

＜正＞In order to model nonlinear systems with more accuracy,and to further exploit the potential capacities of recurrent neural networks,we propose a novel recursive least square（RLS） algorithm based on echo state network（ESN）,and note it as RLSESN in this *** is a new paradigm for using recurrent neural networks（RNN） with a simpler training *** proposed RLSESN consists of three main components:an ESN,a recursive least square（RLS） algorithm with adaptive forgetting factor and a change detection *** first,the change detection module modifies the forgetting factor online according to ESN output *** then,the RLS algorithm regulates the ESN output connection *** simulation experiment results show that RLSESN can model nonlinear systems very well;the modeling performances are significantly better than those traditional ARMA model based filters.

关键词： Neural Networks System Identification Recursive Least Squares Algorithm Filtering

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Multi-attribute Automatic Negotiation Model Based on Niche Genetic Algorithm

Multi-attribute Automatic Negotiation Model Based on Niche G...

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2010 Chinese Control and Decision Conference

作者： Chen Pei-you,Li Yi-ling College of Economic and Management,Heilongjiang institute of Science and technology,Harbin 150027,china

A multi-criteria ranking method about interval-valued intuitionistic fuzzy sets is introduced into the automatic negotiation model to weaken the subjectivity of preference information report from negotiation *** evidential reasoning algorithms,the criteria values are aggregated and the interval intuitionist fuzzy sets of alternatives are obtained;considering the incomplete certain information on weight,a nonlinear programming model is developed and the weight of various attribute is *** niche genetic algorithm is proposed to search optimization and improve ***,a simulation testing shows the model is a feasible and effective,which can help negotiation Agents to reach quickly a mutually beneficial agreement objectively.

关键词： automatic negotiation bargaining zone interval-valued intuitionistic fuzzy number niche genetic algorithm

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The Topology Analysis on Value Creation of Logistics Financial Management in Supply Chain System

The Topology Analysis on Value Creation of Logistics Financi...

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2011 International Conference on Business Management and Electronic information(BMEI 2011)

作者： WANG Yang1Hu Wei 2 1 2 School of Business Administration South china university of technology Guangzhou P.R.china

This article studies on logistics financial management of supply chain system from the value creation perspective,establishing the 3d nonlinear coupling economic dynamics model of the value creation of logistics financial management of supply chain system,the capital investment and the supply chain optimization investment *** branching complexity theory of differential dynamic is applied to analyse the partial structures of the fixed point of the model and testify it by Hopf branch theory,and discuss the branching complexity of the logistics financial management efficiency *** results indicate that the contribution rate of value creation of logistics financial management of supply chain system can be improved through adjusting the variable parameter of logistics financial management of supply chain ***,the value creation and management mechanism of logistics financial management of supply chain system can be built on the basis of the feedback loop that is formed by the value chain of logistics financial management of supply chain system.

关键词： supply chain system logistics financial management value creation supply chain optimization investment value nonlinear differential system topology analysis

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Robust Stabilization of Nonholonomic Systems with Unknown Time Delays

Robust Stabilization of Nonholonomic Systems with Unknown Ti...

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第三十届中国控制会议

作者： WU Yuanyuan~1,DIAO Zhihua~1,WU Yuqiang~2 1.College of Electric and information Engineering,Zhengzhou university of Light Industry,Zhengzhou 450002,P.R.china 2.Research institute of Automation,Qufu Normal university,Qufu 273165,P.R.china

＜正＞This paper presents a control strategy for stabilization of the nonholonomic control systems with strongly nonlinear uncertainties and unknown time *** constructing appropriate Lyapunov functional,the uncertainties of unknown time delays are compensated *** scaling technique and backstepping recursive approach are applied to design the robust non-linear state feedback switching controllers,which can guarantee the stabilization of the closed loop *** results are provided to show the effectiveness of the proposed method.

关键词： Nonholonomic systems Time delay Robust stabilization State scaling Backstepping

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information Detection Based on Bistable Systems Connected in Series

Information Detection Based on Bistable Systems Connected in...

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The Sixth World Congress on Computational Mechanics in Conjunction with the Second Asian-Pacific Congress on Computational Mechanics

作者： Y. Guo, S. Y. Zhang, Y. G. Leng, B. Guo, M. W. An Management School, Tianjin university, Beiyang Kexue Building No. 105, Tianjin, 300072, china Mechanical Engineering School, Tianjin university, Tianjin, 300072, china institute of Applied Mechanics, Taiyuan university of technology, Taiyuan, 030024, china

Stochastic resonance (SR) is a phenomenon wherein signal, noise and nonlinear system cooperate to enhance the signal-to-noise ratio(SNR) of the output signal. The SR characteristics of two bistable systems connected in series have been investigated in the present work. The viewpoint of the cascaded bistable system being considered as a low pass filter has been proposed, and hence the cascaded system can get rid of high frequency of the output of the former system but keep its time wave shape. With the analysis of the law of the signal spectral peak varying with noise intensity for the cascaded system, it is deduced that within a limited low frequency area, the cascaded system is able to promote the height of the signal spectral spike by a certain amount of noise. If the former of the two bistable systems does not stay in SR, the latter could not optimize the former output to become a SR state. For large parameters, because of too high spectral peaks of low frequency noise accumulated twice by the cascaded system, it is hard for the signal peak to be the highest amplitude in the whole spectral graph. Therefore, the bistable systems connected in series is generally benefit to the detection of the signal in time domain. An example of detecting weak aperiodic signal embedded in strong noise is provided in the end to illustrate that the cascaded bistable system is a powerful too for signal processing.

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Fuzzy Neural Network Adaptive Robust Control of a Class of nonlinear Interconnected System Based on T-S Fuzzy Model

Fuzzy Neural Network Adaptive Robust Control of a Class of N...

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2010 Chinese Control and Decision Conference

作者： Yan-xin Zhang~1 1.institute of Automatic control,School of Electronics and information Engineering, Beijing Jiaotong university,Beijing,100044,

＜正＞In this paper,a fuzzy neural network control scheme is developed for a class of nonlinear interconnected *** robust adaptive controller is designed based on the T-S fuzzy model of the original system,which includes three parts:constant state feedback gains matrix for T-S fuzzy model,neural network to approximate the interconnections and an approximation error compensator,which attenuates the effect of neural network approximation *** this new control scheme,it is not needed to find a common positive definite matrix satisfying Riccati matrix inequality,and neither constraint nor matching conditions is *** controller not only ensures the stability of closed-loop system,but also realizes the tracking performance *** emulation illustrates the validation of the designed scheme.

关键词： Fuzzy Neural Network Interconnected System T-S Fuzzy Model

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计算信号流图传递函数的改进算法及可视化

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系统仿真学报 2003年第1期15卷 8-12页

作者：吕红宇吴重光包尚联北京大学重离子物理研究所肿瘤物理诊疗技术研究中心和北京市重点实验室:医学物理和工程北京100871 北京化工大学信息科学与技术学院北京100029

介绍了基于Shannon-Happ公式计算系统信号流图传递函数的改进算法。与Mason公式法比较,此方法简化了算法设计。首先对信号流图的一些特殊形式进行了分析,给出了一种使用回路添加技术建立互不接触回路组合的实现手段。采用分离变量的方... 详细信息

介绍了基于Shannon-Happ公式计算系统信号流图传递函数的改进算法。与Mason公式法比较,此方法简化了算法设计。首先对信号流图的一些特殊形式进行了分析,给出了一种使用回路添加技术建立互不接触回路组合的实现手段。采用分离变量的方法将符号变量引入到信号流图中, 使得求取的传递函数中可包含代表支路参数、非线性项或相对独立子系统的符号变量, 由此可直接处理系统中的非线性时间延迟项。随后探讨了将含符号变量的信号流图应用于非零状态MIMO系统的问题。简介了基于常参数网络拓扑算法的可视化和利用所得传递函数进行系统性能分析的方法, 及其仿真软件AVANT。最后文章给出了改进算法和可视化方法的检验结果。

关键词：计算信号流图传递函数可视化公式网络拓扑算法系统仿真 Shannon-Happ公式符号变量

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维普期刊数据库

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A Design of nonlinear Adaptive PID Controller Based on Genetic Algorithm

A Design of Nonlinear Adaptive PID Controller Based on Genet...

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第25届中国控制会议

作者： Qi Weimin, Cai Weiyou , Ji Qiaoling , Cheng Yuanchu Physics & information Engineering institute, Jianghan university 430056 College of Power and Mechanical engineering, Wuhan university, Wuhan 430072

＜正＞The relationship between the error signal and gain parameters of PID controller is nonlinear, so fitting and constructing the nonlinear of each parameter can be used respectively for the individual tuning each part of PID controller. In this paper, it is described that based on the tuning law between the control and error, with formulating the nonlinear function of each gain parameter, the nonlinear PID controller could be optimized and constructed by adopting genetic algorithm. The simulate results of typical system shows that the dynamic and static performances of the system can be both attended to at a satisfied degree.

关键词： PID controller nonlinear function genetic algorithm

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