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Standard model of knowledge representation

Wensheng YIN

《机械工程前沿（英文）》 2016年第11卷第3期页码 275-288 doi: 10.1007/s11465-016-0372-3

摘要：

Knowledge representation is the core of artificial intelligence research. Knowledge representation methods include predicate logic, semantic network, computer programming language, database, mathematical model, graphics language, natural language, etc. To establish the intrinsic link between various knowledge representation methods, a unified knowledge representation model is necessary. According to ontology, system theory, and control theory, a standard model of knowledge representation that reflects the change of the objective world is proposed. The model is composed of input, processing, and output. This knowledge representation method is not a contradiction to the traditional knowledge representation method. It can express knowledge in terms of multivariate and multidimensional. It can also express process knowledge, and at the same time, it has a strong ability to solve problems. In addition, the standard model of knowledge representation provides a way to solve problems of non-precision and inconsistent knowledge.

关键词： knowledge representation standard model ontology system theory control theory multidimensional representation

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Robust direct power control based on the Lyapunov theory of a grid-connected brushless doubly fed induction

M. Abdelbasset MAHBOUB,Said DRID,M. A. SID,Ridha CHEIKH

《能源前沿（英文）》 2016年第10卷第3期页码 298-307 doi: 10.1007/s11708-016-0411-0

摘要： This paper deals with robust direct power control of a grid-connected brushless doubly-fed induction generator(BDFIG). Using a nonlinear feedback linearization strategy, an attempt is made to improve the desired performances by controlling the generated stator active and reactive power in a linear and decoupled manner. Therefore, to achieve this objective, the Lyapunov approach is used associated with a sliding mode control to guarantee the global asymptotical stability. Thus, an optimal operation of the BDFIG in sub-synchronous operation is obtained as well as the stator power flows with the possibility of keeping stator power factor at a unity. The proposed method is tested with the Matlab/Simulink software. Simulation results illustrate the performances and the feasibility of the designed control.

关键词： brushless doubly fed induction generator (BDFIG) vector control Lyapunov theory power factor unity active and reactive power

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Robust control based on the Lyapunov theory of a grid-connected doubly fed induction generator

Ridha CHEIKH, Arezki MENACER, Said DRID

《能源前沿（英文）》 2013年第7卷第2期页码 191-196 doi: 10.1007/s11708-013-0245-y

摘要： This paper discusses the robust control of a grid-connected doubly-fed induction generator (DFIG) controlled by vector control using a nonlinear feedback linearization strategy in order to ameliorate the performances of the control and to govern the developed stator active and reactive power in a linear and decoupled manner, in which an optimal operation of the DFIG in sub-synchronous operation is given, as well as the control stator power flow with the possibility of keeping stator power factor at a unity. The use of the state-all-flux induction machine model gives place to a simpler control model. So, to achieve this objective, the Lyapunov approach is used associated with a sliding mode control to guarantee the global asymptotical stability and the robustness of the parametric variations.

关键词： doubly fed induction generator (DFIG) vector control Lyapunov function power factor unity active power reactive power

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Research on the ecological compensation standard of the basin pollution control project based on evolutionarygame theory and by taking Xiangjiang River as a case

Dongbin HU, Huiwu LIU, Xiaohong CHEN, Yang CHEN

《工程管理前沿（英文）》 2019年第6卷第4期页码 575-583 doi: 10.1007/s42524-019-0044-1

摘要： Ecological compensation is a new resource and environment management model. As one of the main areas for implementing ecological compensation policies, basin ecological compensation has become an important measure for encouraging basin pollution control projects and improving the quality of regional economic development. By applying the basic game analysis of evolutionary game theory and building an evolutionary game model with a “reward–punishment” mechanism, this paper compares the interest-related decision-making behaviors of the upstream and downstream stakeholders of basin ecological compensation. By using data on the water quality of Xiangjiang River Basin, this paper calculates the rewards and penalties in different intervals by building a parametric regression mathematical model and employing the local linear regression method. Results show that a decline in water quality should be fined RMB 925500 yuan, an improvement in water quality should be awarded RMB 1227800 yuan, and a deteriorating water quality should be severely fined RMB 5087600 yuan.

关键词： evolutionary game ecological compensation standard Xiangjiang River Basin

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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

《机械工程前沿（英文）》 2010年第5卷第2期页码 149-156 doi: 10.1007/s11465-010-0008-y

摘要： With the automation development of manufacturing processes, artificial intelligence technology has been gradually employed to increase the automation and intelligence degree in quality control using statistical process control (SPC) method. In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presented. The fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processes based on the classification on the histograms, which shows that the fuzzy ART neural network can adaptively learn the features of the histograms of the quality parameters in manufacturing processes. As a result, the special disturbance can be automatically detected when a feature of the special disturbance starts to appear in the histograms. At the same time, combined with spectrum analysis of the autoregressive model of quality parameters, the fuzzy ART neural network can also be utilized to adaptively detect the abnormal patterns in the control chart.

关键词： statistical process control (SPC) fuzzy adaptive resonance theory (ART) histogram control chart time series analysis

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Robust nonlinear control via feedback linearization and Lyapunov theory for permanent magnet synchronous

Ridha CHEIKH, Arezki MENACER, L. CHRIFI-ALAOUI, Said DRID

《能源前沿（英文）》 2020年第14卷第1期页码 180-191 doi: 10.1007/s11708-018-0537-3

摘要： In this paper, the method for the nonlinear control design of a permanent magnet synchronous generator based-wind energy conversion system (WECS) is proposed in order to obtain robustness against disturbances and harvest a maximum power from a typical stochastic wind environment. The technique overcomes both the problem of nonlinearity and the uncertainty of the parameter compared to such classical control designs based on traditional control techniques. The method is based on the differential geometric feedback linearization technique (DGT) and the Lyapunov theory. The results obtained show the effectiveness and performance of the proposed approach.

关键词： permanent magnet synchronous generator wind energy conversion system stochastic differential geometric feedback linearization maximum power point tracking Lyapunov robust control

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Sliding window games for cooperative building temperature control using a distributed learning method

Zhaohui ZHANG, Ruilong DENG, Tao YUAN, S. Joe QIN

《工程管理前沿（英文）》 2017年第4卷第3期页码 304-314 doi: 10.15302/J-FEM-2017045

摘要： In practice, an energy consumer often consists of a set of residential or commercial buildings, with individual units that are expected to cooperate to achieve overall optimization under modern electricity operations, such as time-of-use price. Global utility is decomposed to the payoff of each player, and each game is played over a prediction horizon through the design of a series of sliding window games by treating each building as a player. During the games, a distributed learning algorithm based on game theory is proposed such that each building learns to play a part of the global optimum through state transition. The proposed scheme is applied to a case study of three buildings to demonstrate its effectiveness.

关键词： game theory demand response HVAC control multi-building system

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板带轧制工艺控制理论概要

张进之

《中国工程科学》 2001年第3卷第4期页码 46-55

摘要：

以最小阻力定律、体积不变条件和秒流量相等条件为内容的经典轧制理论，经试验、演绎形成了较完整的轧制应用技术科学体系，这种体系所反映的是静态规律。在轧制理论发展中引入控制论、信息论、计算机科学等高新技术，对轧制过程进行控制。在轧制理论发展史上，弹跳方程建立之前是以力学为基础建立的经典轧制理论，之后为以力学和控制论为基础建立的基本轧制工艺控制理论。文章提出工艺控制理论概念，是在基本轧制工艺控制理论的基础上建立的新的理论体系，主要内容包括：在连轧张力理论中反映了张力的负反馈，建立了连轧张力理论体系；在厚控过程中，解决扰动的检测问题；在板形理论中，定义了对偶参数，确立了与厚控理论相似的板形理论体系。

关键词：连轧过程控制连轧张力厚度控制板形刚度轧机弹跳方程综合等储备负荷分配

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Gray-box modeling and QFT control for precision servo transmission systems

Xiulan BAO, Xuedong CHEN, Xin LUO, Haocheng ZUO

《机械工程前沿（英文）》 2011年第6卷第4期页码 442-448 doi: 10.1007/s11465-011-0242-y

摘要：

Precision servo transmission systems have widely been applied in industrial equipment to achieve high accuracy and high speed motion. However, due to the presence of friction and uncertainty, the characteristics of precision servo transmission systems are variant depends on the working conditions, leading to oscillation and instability in the system performances. In this paper, a grey-box model of the system is established, the model structure derived from the theoretical modeling and the model parameters are obtained by experiments using set membership identification method. This paper proposes two-degrees of freedom (2-DOF) robust position controller for a precision servo transmission system, based on the quantitative feedback theory (QFT), to achieve high accuracy and consistent tracking performance even in presence of considerable system uncertainties and friction disturbances. The results of simulate and experiment validate the effectiveness of the proposed controller.

关键词： precision servo transmission system modeling set membership identification quantitative feedback theory (QFT) robustness

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基于价格机制的无线网自适应接纳控制算法

张雪

《中国工程科学》 2006年第8卷第4期页码 32-38

摘要：

为了有效地控制对无线网资源的使用，针对自适应的多媒体应用带宽可以动态调整的特点以及价格对用户行为的影响，提出一种与价格机制相结合的自适应的接纳控制算法，该算法适合于无线网中具有多服务类、多优先级服务的情况，并根据网络当前状况动态地调整价格以缓解拥塞问题。该价格机制力求在有效性和易用性之间做出权衡。最后与未结合价格机制的自适应接纳控制算法进行性能对比表明，将价格机制与接纳控制结合起来，可以很大程度上改善无线网的性能。

关键词：无线网络自适应的接纳控制微观经济学价格机制连接级QoS

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特大跨度斜拉桥施工几何控制原理的数值验证

黄灿,卜一之,张清华

《中国工程科学》 2009年第11卷第1期页码 87-91

摘要：

以苏通长江大桥为研究对象，通过数值仿真分析验证了几何控制原理的正确性。通过对施工过程中临时荷载和环境温度对于结构线形影响的系统分析和研究结果表明，在考虑施工全过程几何非线性影响的条件下，临时荷载及环境温度等因素仅影响施工过程中的结构状态，基本不影响成桥的结构线形和内力状态，几何控制原理适用于超大斜拉桥施工控制，采用几何控制原理能够获得良好的施工控制结果。

关键词：斜拉桥几何控制几何非线性数值验证

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刘胜强：汽车行业协控制理论及对策（2020年7月30日）

2022年06月10日

关键词：汽车

基于逆系统理论的无轴承永磁同步电机解耦控制研究

费德成,朱熀秋

《中国工程科学》 2005年第7卷第11期页码 48-54

摘要：

应用多变量非线性控制逆系统理论，对无轴承永磁同步电机的多变量、非线性、强耦合的控制对象进行了动态解耦控制研究；介绍了逆系统理论，阐述了无轴承永磁同步电机径向力的产生机理，建立了转矩力和径向悬浮力状态方程，分析了基于逆系统理论解耦控制的可行性，推导出基于逆系统理论的无轴承永磁同步电机转矩力与径向力之间的动态解耦控制算法。仿真结果表明，这种控制策略能够实现转矩力与径向力之间的动态解耦，并且系统具有良好的动、静态性能。

关键词：无轴承永磁同步电机逆系统反馈线性化解耦控制

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高拱坝施工实时控制系统集成理论与应用

任炳昱,吴斌平

《中国工程科学》 2011年第13卷第12期页码 84-90

摘要：

针对高拱坝施工过程具有很强的复杂性和随机性的特征，提出将系统集成理论应用于高拱坝施工实时控制中，设计了高拱坝施工实时控制系统集成框架，从数据信息集成、应用功能集成、技术方法集成和监控指标集成4个方面详细论述了系统集成的实现过程，并研制开发了网络平台下的高拱坝施工实时控制系统。工程应用实例表明，基于系统集成理论构建的高拱坝施工实时控制系统能对高拱坝施工过程实现动态的集成控制与分析，有效地提高了大坝建设管理水平。

关键词：实时控制系统集成数据集成网络平台高拱坝施工

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基于微分流形理论和分岔理论的飞机安全性分析 None

Chi ZHOU, Ying-hui LI, Wu-ji ZHENG, Peng-wei WU

《信息与电子工程前沿（英文）》 2019年第20卷第2期页码 292-299 doi: 10.1631/FITEE.1700435

摘要：失控（LOC）被认为是导致世界范围内致命飞机事故的主要原因之一。减少飞机失控对于提高飞行安全意义重大。虽然目前航空界对失控的定义还比较模糊，但研究表明失控通常与飞行状态超出安全包线、飞机动力学的非线性影响以及飞行机组人员不当操纵有关。本文主要针对飞机动力学的非线性影响和驾驶员不当操纵导致的失控展开研究，利用分岔分析方法确定飞行状态的失速点和分岔点。研究结果表明，驾驶员操纵过度将直接导致飞机失速。此外，飞行状态接近飞行包线边界时，驾驶员的操纵会变得特别敏感，稍微改变操纵指令就可能导致飞行状态超出安全包线。即使在某个操纵指令下存在稳定平衡状态，飞行状态仍可能处于安全包线之外。为提升飞行安全，引入微分流形理论确定安全包线。以NASA的通用模型作为案例展开研究。

关键词：失控；安全包线；飞机动力学；分岔分析；微分流形理论

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标题作者时间类型操作

Standard model of knowledge representation

Wensheng YIN

期刊论文

Robust direct power control based on the Lyapunov theory of a grid-connected brushless doubly fed induction

M. Abdelbasset MAHBOUB,Said DRID,M. A. SID,Ridha CHEIKH

期刊论文

Robust control based on the Lyapunov theory of a grid-connected doubly fed induction generator

Ridha CHEIKH, Arezki MENACER, Said DRID

期刊论文

Research on the ecological compensation standard of the basin pollution control project based on evolutionarygame theory and by taking Xiangjiang River as a case

Dongbin HU, Huiwu LIU, Xiaohong CHEN, Yang CHEN

期刊论文

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

期刊论文

Robust nonlinear control via feedback linearization and Lyapunov theory for permanent magnet synchronous

Ridha CHEIKH, Arezki MENACER, L. CHRIFI-ALAOUI, Said DRID

期刊论文

Sliding window games for cooperative building temperature control using a distributed learning method

Zhaohui ZHANG, Ruilong DENG, Tao YUAN, S. Joe QIN

期刊论文

板带轧制工艺控制理论概要