The development of the assistive abilities regarding the decision-making process o fan Intelligent Control System （ICS） like a fuzzy expert system implies the development of its functionality and its ability of spec...The development of the assistive abilities regarding the decision-making process o fan Intelligent Control System （ICS） like a fuzzy expert system implies the development of its functionality and its ability of specification. Fuzzy expert systems can model fuzzy controllers, i.e., the knowledge representation and the abilities of making decisions corresponding to fuzzy expert systems are much more complicated that in the case of standard fuzzy controllers. The expert system acts also as a supervisor, creating meta-level reasoning on a set of fuzzy controllers, in order to choose the best one for the management of the process. Knowledge Management Systems （KMSs） is a new development paradigm of Intelligent Systems which has resulted from a synergy between fuzzy sets, artificial neural networks, evolutionary computation, machine learning, etc., broadening computer science, physics, economics, engineering, mathematics. This paper presents, after a synergic new paradigm of intelligent systems, as a practical case study the fuzzy and temporal properties of knowledge formalism embedded in an ICS. We are not dealing high with level reasoning methods, because we think that real-time problems can only be solved by rather low-level reasoning. Solving the match-time predictability problem would allow us to build much more powerful reasoning techniques.展开更多
Different fuzzy reasoning methods were gave by choosing different fuzzy counters.This article generally introduced the basic structure of fuzzy controller,and compared and analysised the reasoning effect of fuzzy reas...Different fuzzy reasoning methods were gave by choosing different fuzzy counters.This article generally introduced the basic structure of fuzzy controller,and compared and analysised the reasoning effect of fuzzy reasoning methods and the effect of computer simulating control basicly on different fuzzy counters.展开更多
Different fuzzy reasoning methods were made by choosing different fuzzy operater.This article generally introduced the basic structure of fuzzy controller,and gave several different fuzzy controllers,and compared and ...Different fuzzy reasoning methods were made by choosing different fuzzy operater.This article generally introduced the basic structure of fuzzy controller,and gave several different fuzzy controllers,and compared and analyzed different fuzzy counters in theory and computer simulating control and realized majorizational choosing of several fuzzy counters.展开更多
A fuzzy logic colltrol VLSI chip, F100, for industry process real-time colltrol has been designed and fabricated with 0.8pm CMOS technology. The chip has the features of simplicity flealbility and generality. This pap...A fuzzy logic colltrol VLSI chip, F100, for industry process real-time colltrol has been designed and fabricated with 0.8pm CMOS technology. The chip has the features of simplicity flealbility and generality. This paper presents the fuzzy control inference method of the chip, its VLSI implementation, and testing design consideration.展开更多
有源电力滤波器(active power filter,APF)的控制方法是决定其补偿性能的关键因素之一。该文基于单相APF的Euler-Lagrange(EL)系统状态平均模型,提出了一种无源性控制新方法。该方法首先基于替代定理建立了考虑源阻抗和非线性负荷影响...有源电力滤波器(active power filter,APF)的控制方法是决定其补偿性能的关键因素之一。该文基于单相APF的Euler-Lagrange(EL)系统状态平均模型,提出了一种无源性控制新方法。该方法首先基于替代定理建立了考虑源阻抗和非线性负荷影响的单相APFEL系统状态平均模型,在此基础上设计了无源性间接控制律,确保对单相APF控制目标的渐近跟踪。由于在线计算直流电容指令电压波动量十分困难,在控制方法的执行中忽略波动量的影响,简化了控制方法的实现;此外,该方法还研究了所注入的阻尼大小对控制效果的影响以及APF内层控制过调制产生的原因,针对无源性控制律跟踪精度的要求与内层控制过调制限幅条件间的矛盾,通过构造模糊逻辑推理环节实现阻尼系数的在线调整,在满足内层控制限幅条件下确保跟踪精度和补偿效果。仿真结果验证了所提出方法的正确性和有效性。展开更多
文摘The development of the assistive abilities regarding the decision-making process o fan Intelligent Control System （ICS） like a fuzzy expert system implies the development of its functionality and its ability of specification. Fuzzy expert systems can model fuzzy controllers, i.e., the knowledge representation and the abilities of making decisions corresponding to fuzzy expert systems are much more complicated that in the case of standard fuzzy controllers. The expert system acts also as a supervisor, creating meta-level reasoning on a set of fuzzy controllers, in order to choose the best one for the management of the process. Knowledge Management Systems （KMSs） is a new development paradigm of Intelligent Systems which has resulted from a synergy between fuzzy sets, artificial neural networks, evolutionary computation, machine learning, etc., broadening computer science, physics, economics, engineering, mathematics. This paper presents, after a synergic new paradigm of intelligent systems, as a practical case study the fuzzy and temporal properties of knowledge formalism embedded in an ICS. We are not dealing high with level reasoning methods, because we think that real-time problems can only be solved by rather low-level reasoning. Solving the match-time predictability problem would allow us to build much more powerful reasoning techniques.
文摘Different fuzzy reasoning methods were gave by choosing different fuzzy counters.This article generally introduced the basic structure of fuzzy controller,and compared and analysised the reasoning effect of fuzzy reasoning methods and the effect of computer simulating control basicly on different fuzzy counters.
文摘Different fuzzy reasoning methods were made by choosing different fuzzy operater.This article generally introduced the basic structure of fuzzy controller,and gave several different fuzzy controllers,and compared and analyzed different fuzzy counters in theory and computer simulating control and realized majorizational choosing of several fuzzy counters.
文摘A fuzzy logic colltrol VLSI chip, F100, for industry process real-time colltrol has been designed and fabricated with 0.8pm CMOS technology. The chip has the features of simplicity flealbility and generality. This paper presents the fuzzy control inference method of the chip, its VLSI implementation, and testing design consideration.
文摘有源电力滤波器(active power filter,APF)的控制方法是决定其补偿性能的关键因素之一。该文基于单相APF的Euler-Lagrange(EL)系统状态平均模型,提出了一种无源性控制新方法。该方法首先基于替代定理建立了考虑源阻抗和非线性负荷影响的单相APFEL系统状态平均模型,在此基础上设计了无源性间接控制律,确保对单相APF控制目标的渐近跟踪。由于在线计算直流电容指令电压波动量十分困难,在控制方法的执行中忽略波动量的影响,简化了控制方法的实现;此外,该方法还研究了所注入的阻尼大小对控制效果的影响以及APF内层控制过调制产生的原因,针对无源性控制律跟踪精度的要求与内层控制过调制限幅条件间的矛盾,通过构造模糊逻辑推理环节实现阻尼系数的在线调整,在满足内层控制限幅条件下确保跟踪精度和补偿效果。仿真结果验证了所提出方法的正确性和有效性。
