The problem of discrete-time model identification of industrial processes with time delay was investigated.An iterative and separable method is proposed to solve this problem,that is,the rational transfer function mod...The problem of discrete-time model identification of industrial processes with time delay was investigated.An iterative and separable method is proposed to solve this problem,that is,the rational transfer function model parameters and time delay are alternately fixed to estimate each other.The instrumental variable technique is applied to guarantee consistent estimation against measurement noise.A noteworthy merit of the proposed method is that it can handle fractional time delay estimation,compared to existing methods commonly assuming that the time delay is an integer multiple of the sampling interval.The identifiability analysis for time delay is addressed and correspondingly,some guidelines are provided for practical implementation of the proposed method.Numerical and experimental examples are presented to illustrate the effectiveness of the proposed method.展开更多
To control the robot and track the designed trajectory with uncertain disturbances in a specified precision range, an adaptive fuzzy control scheme for the robot arm manipulator is discussed. The controller output err...To control the robot and track the designed trajectory with uncertain disturbances in a specified precision range, an adaptive fuzzy control scheme for the robot arm manipulator is discussed. The controller output error method （COEM） is used to design the adaptive fuzzy controller. A few or all of the parameters of the controller are adjusted by using the gradient descent algorithm to minimize the output error. COEM is adopted in the adaptive control system for the robot arm manipulator with 5-DOF. Simulation results show the effectiveness of the method and the real time adjustment of the parameters.展开更多
Massive multiple-input multiple-output(MIMO) system is capable of substantially improving the spectral efficiency as well as the capacity of wireless networks relying on equipping a large number of antenna elements at...Massive multiple-input multiple-output(MIMO) system is capable of substantially improving the spectral efficiency as well as the capacity of wireless networks relying on equipping a large number of antenna elements at the base stations. However, the excessively high computational complexity of the signal detection in massive MIMO systems imposes a significant challenge for practical hardware implementations. In this paper, we propose a novel minimum mean square error(MMSE) signal detection using the accelerated overrelaxation(AOR) iterative method without complicated matrix inversion, which is capable of reducing the overall complexity of the classical MMSE algorithm by an order of magnitude. Simulation results show that the proposed AOR-based method can approach the conventional MMSE signal detection with significant complexity reduction.展开更多
三轴磁强计广泛应用于UXO(Unexploded Ordence)探测,而精确获取测量区域的磁场值是实现UXO探测的前提,但三轴磁强计本身的非正交、刻度因子和零偏与载体上的各种干扰磁场都会引起三轴磁强计的输出误差,从而影响UXO的探测,因此需要对三...三轴磁强计广泛应用于UXO(Unexploded Ordence)探测,而精确获取测量区域的磁场值是实现UXO探测的前提,但三轴磁强计本身的非正交、刻度因子和零偏与载体上的各种干扰磁场都会引起三轴磁强计的输出误差,从而影响UXO的探测,因此需要对三轴磁强计的输出误差进行综合标定补偿.根据三轴磁强计本身的误差模型和载体干扰的补偿模型,推导得到三轴磁强计输出误差的综合补偿模型.针对迭代解法解非线性最小二乘问题的不适定问题,采用了阻尼最小二乘法对参数进行估计.通过仿真对该方法的有效性进行了验证.实验结果表明,该方法能有效改善迭代矩阵的病态.综合补偿后,三轴磁强计的总量输出均方根误差从174.9 n T下降到1.2 n T,可以满足UXO探测的需求.展开更多
文摘The problem of discrete-time model identification of industrial processes with time delay was investigated.An iterative and separable method is proposed to solve this problem,that is,the rational transfer function model parameters and time delay are alternately fixed to estimate each other.The instrumental variable technique is applied to guarantee consistent estimation against measurement noise.A noteworthy merit of the proposed method is that it can handle fractional time delay estimation,compared to existing methods commonly assuming that the time delay is an integer multiple of the sampling interval.The identifiability analysis for time delay is addressed and correspondingly,some guidelines are provided for practical implementation of the proposed method.Numerical and experimental examples are presented to illustrate the effectiveness of the proposed method.
文摘To control the robot and track the designed trajectory with uncertain disturbances in a specified precision range, an adaptive fuzzy control scheme for the robot arm manipulator is discussed. The controller output error method （COEM） is used to design the adaptive fuzzy controller. A few or all of the parameters of the controller are adjusted by using the gradient descent algorithm to minimize the output error. COEM is adopted in the adaptive control system for the robot arm manipulator with 5-DOF. Simulation results show the effectiveness of the method and the real time adjustment of the parameters.
基金supported by the key project of the National Natural Science Foundation of China (No. 61431001)Huawei Innovation Research Program, the 5G research program of China Mobile Research Institute (Grant No. [2015] 0615)+2 种基金the open research fund of National Mobile Communications Research Laboratory Southeast University (No.2017D02)Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (Guilin University of Electronic Technology)the Foundation of Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services, and Keysight
文摘Massive multiple-input multiple-output(MIMO) system is capable of substantially improving the spectral efficiency as well as the capacity of wireless networks relying on equipping a large number of antenna elements at the base stations. However, the excessively high computational complexity of the signal detection in massive MIMO systems imposes a significant challenge for practical hardware implementations. In this paper, we propose a novel minimum mean square error(MMSE) signal detection using the accelerated overrelaxation(AOR) iterative method without complicated matrix inversion, which is capable of reducing the overall complexity of the classical MMSE algorithm by an order of magnitude. Simulation results show that the proposed AOR-based method can approach the conventional MMSE signal detection with significant complexity reduction.
文摘三轴磁强计广泛应用于UXO(Unexploded Ordence)探测,而精确获取测量区域的磁场值是实现UXO探测的前提,但三轴磁强计本身的非正交、刻度因子和零偏与载体上的各种干扰磁场都会引起三轴磁强计的输出误差,从而影响UXO的探测,因此需要对三轴磁强计的输出误差进行综合标定补偿.根据三轴磁强计本身的误差模型和载体干扰的补偿模型,推导得到三轴磁强计输出误差的综合补偿模型.针对迭代解法解非线性最小二乘问题的不适定问题,采用了阻尼最小二乘法对参数进行估计.通过仿真对该方法的有效性进行了验证.实验结果表明,该方法能有效改善迭代矩阵的病态.综合补偿后,三轴磁强计的总量输出均方根误差从174.9 n T下降到1.2 n T,可以满足UXO探测的需求.
