This paper presents an adaptive fuzzy control scheme based on modified genetic algorithm. In the control scheme, genetic algorithm is used to optimze the nonlinear quantization functions of the controller and some key...This paper presents an adaptive fuzzy control scheme based on modified genetic algorithm. In the control scheme, genetic algorithm is used to optimze the nonlinear quantization functions of the controller and some key parameters of the adaptive control algorithm. Simulation results show that this control scheme has satisfactory performance in MIMO systems, chaotic systems and delay systems.展开更多
With the vigorous expansion of nonlinear adaptive filtering with real-valued kernel functions,its counterpart complex kernel adaptive filtering algorithms were also sequentially proposed to solve the complex-valued no...With the vigorous expansion of nonlinear adaptive filtering with real-valued kernel functions,its counterpart complex kernel adaptive filtering algorithms were also sequentially proposed to solve the complex-valued nonlinear problems arising in almost all real-world applications.This paper firstly presents two schemes of the complex Gaussian kernel-based adaptive filtering algorithms to illustrate their respective characteristics.Then the theoretical convergence behavior of the complex Gaussian kernel least mean square（LMS） algorithm is studied by using the fixed dictionary strategy.The simulation results demonstrate that the theoretical curves predicted by the derived analytical models consistently coincide with the Monte Carlo simulation results in both transient and steady-state stages for two introduced complex Gaussian kernel LMS algonthms using non-circular complex data.The analytical models are able to be regard as a theoretical tool evaluating ability and allow to compare with mean square error（MSE） performance among of complex kernel LMS（KLMS） methods according to the specified kernel bandwidth and the length of dictionary.展开更多
复杂设备早期微小故障检测是故障检测与诊断领域的难题,系统状态和参数发生阶跃变化或者缓慢漂移是这类故障的主要特征.本文在正交性原理的基础上,提出一种强跟踪平方根中心差分卡尔曼滤波(Square-root center diference Kalman filter,...复杂设备早期微小故障检测是故障检测与诊断领域的难题,系统状态和参数发生阶跃变化或者缓慢漂移是这类故障的主要特征.本文在正交性原理的基础上,提出一种强跟踪平方根中心差分卡尔曼滤波(Square-root center diference Kalman filter,SR-CDKF),即SSR-CDKF,并将SSR-CDKF应用于复杂设备的早期微小故障检测中.仿真结果表明,SSRCDKF能够更准确地估计系统状态和参数,更迅速地跟踪系统和参数突变情况.通过仿真计算比较滤波器在不同参数取值下的方差值,得出了选择合适参数的方法.最后利用该算法检测出了陀螺仪的早期微小故障.展开更多
文摘This paper presents an adaptive fuzzy control scheme based on modified genetic algorithm. In the control scheme, genetic algorithm is used to optimze the nonlinear quantization functions of the controller and some key parameters of the adaptive control algorithm. Simulation results show that this control scheme has satisfactory performance in MIMO systems, chaotic systems and delay systems.
基金supported by the National Natural Science Foundation of China(6100115361271415+4 种基金6140149961531015)the Fundamental Research Funds for the Central Universities(3102014JCQ010103102014ZD0041)the Opening Research Foundation of State Key Laboratory of Underwater Information Processing and Control(9140C231002130C23085)
文摘With the vigorous expansion of nonlinear adaptive filtering with real-valued kernel functions,its counterpart complex kernel adaptive filtering algorithms were also sequentially proposed to solve the complex-valued nonlinear problems arising in almost all real-world applications.This paper firstly presents two schemes of the complex Gaussian kernel-based adaptive filtering algorithms to illustrate their respective characteristics.Then the theoretical convergence behavior of the complex Gaussian kernel least mean square（LMS） algorithm is studied by using the fixed dictionary strategy.The simulation results demonstrate that the theoretical curves predicted by the derived analytical models consistently coincide with the Monte Carlo simulation results in both transient and steady-state stages for two introduced complex Gaussian kernel LMS algonthms using non-circular complex data.The analytical models are able to be regard as a theoretical tool evaluating ability and allow to compare with mean square error（MSE） performance among of complex kernel LMS（KLMS） methods according to the specified kernel bandwidth and the length of dictionary.
文摘复杂设备早期微小故障检测是故障检测与诊断领域的难题,系统状态和参数发生阶跃变化或者缓慢漂移是这类故障的主要特征.本文在正交性原理的基础上,提出一种强跟踪平方根中心差分卡尔曼滤波(Square-root center diference Kalman filter,SR-CDKF),即SSR-CDKF,并将SSR-CDKF应用于复杂设备的早期微小故障检测中.仿真结果表明,SSRCDKF能够更准确地估计系统状态和参数,更迅速地跟踪系统和参数突变情况.通过仿真计算比较滤波器在不同参数取值下的方差值,得出了选择合适参数的方法.最后利用该算法检测出了陀螺仪的早期微小故障.
