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Study on an adaptive algorithm for Time-varying System

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Study on an Adaptive Algorithm for Time-varying System

第36届中国控制会议

作者： KIM KwangHo GENG Yanfeng Yue Yaobin College of Information & Control Engineering China University of Petroleum(East China) Automation Engineering Faculty Kimchaek University of TechnologyCAS College of Automation & Electronic Engineering Qingdao University of Science & Technology

ISBN: (纸本)9781538629185

In this paper,we presented the derivation of an adaptive algorithm for time-varying system and verified that it satisfied convergence properties.Based on the concept of distance in parameter space,we proposed a robust identification method which identified the smallest set of discrete transfer functions under the assumption that its parameters were time-varying and described derivation of an adaptive law based on verification and update algorithm of the identified model set.We also described that the proposed algorithm satisfied the convergence properties through numerical simulation.

关键词： adaptive algorithm time-varying system parameter estimation robust identification

adaptive Fault Estimation for Dynamics of High Speed Train Based on Robust UKF algorithm

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Journal of Harbin Institute of Technology(New Series) 2023年第1期30卷 61-72页

作者： Kexin Li Tiantian Liang School of Automation and Electrical Engineering Dalian Jiaotong UniversityDalian 116028China

This paper proposes an adaptive unscented Kalman filter algorithm(ARUKF)to implement fault estimation for the dynamics of high⁃speed train(HST)with measurement uncertainty and time⁃varying noise with unknown statistics.Firstly,regarding the actuator and sensor fault as the auxiliary variables of the dynamics of HST,an augmented system is established,and the fault estimation problem for dynamics of HST is formulated as the state estimation of the augmented system.Then,considering the measurement uncertainties,a robust lower bound is proposed to modify the update of the UKF to decrease the influence of measurement uncertainty on the filtering accuracy.Further,considering the unknown time⁃varying noise of the dynamics of HST,an adaptive UKF algorithm based on moving window is proposed to estimate the time⁃varying noise so that accurate concurrent actuator and sensor fault estimations of dynamics of HST is implemented.Finally,a five-car model of HST is given to show the effectiveness of this method.

关键词： high speed train Kalman filter adaptive algorithm robust algorithm unknown noise measurement uncertainty

A Block Parallel l_0-Norm Penalized Shrinkage and Widely Linear Affine Projection algorithm for adaptive Filter

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China Communications 2017年第1期14卷 86-97页

作者： Youwen Zhang Shuang Xiao Lu Liu Dajun Sun Acoustic Science and Technology Laboratory Harbin Engineering University Harbin 150001 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin 150001 China

To improve the identification capability of AP algorithm in time-varying sparse system, we propose a block parallel l_0-SWL-DCD-AP algorithm in this paper. In the proposed algorithm, we first introduce the l_0-norm constraint to promote its application for sparse system. Second, we use the shrinkage denoising method to improve its track ability. Third, we adopt the widely linear processing to take advantage of the non-circular properties of communication signals. Last, to reduce the high computational complexity and make it easy to implemented, we utilize the dichotomous coordinate descent(DCD) iterations and the parallel processing to deal with the tapweight update in the proposed algorithm. To verify the convergence condition of the proposed algorithm, we also analyze its steadystate behavior. Several simulation are done and results show that the proposed algorithm can achieve a faster convergence speed and a lower steady-state misalignment than similar APA-type algorithm. When apply the proposed algorithm in the decision feedback equalizer(DFE), the bite error rate(BER) decreases obviously.

关键词： signal processing adaptive algorithm LMS l0-norm shrinkage linear DCD

adaptive LMS algorithm with adaptive Number of Crossband Filters in STFT Domain

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Adaptive LMS Algorithm with Adaptive Number of Crossband Fil...

第36届中国控制会议

作者： Ying Wei Heilongjiang University Harbin Institute of Technology

ISBN: (纸本)9781538629185

The number of crossband filters controls convergence rate and steady-state MSE of LMS algorithm in subband in the short-time Fourier domain,which necessitates a compromise between them due to its fixed value.Therefore,a decision to adaptively control the number of crossband filters is proposed to provide both fast convergence rate and small steady-state MSE.The advantage of the proposed algorithm is verified by the simulation.

关键词： LTI System adaptive algorithm STFT Crossband Filter Segmented Estimation Error

An adaptive algorithm for pass adaptation in plate rolling

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Journal of University of Science and Technology Beijing 2002年第5期9卷 396-399页

作者： Zhichun Mu, WeimingLi, and Ke LiuInformation Engineering School, University of Science and Technology Beijing, Beijing 100083, China Univ Sci & Technol Beijing Informat Engn Sch Beijing 100083 Peoples R China

A new algorithm for pass adaptation in plate rolling is developedto improve thickness accuracy of plate products. The feature of thealgorithm is that it uses the measured data rather than the schedulecalculated data in adaptation, which leads to notable improvem- entin prediction accuracy of the rolling parameters and thicknessaccuracy of products can be improved according. Results show thatthis adaptive algorithm is effective in practice.

关键词： adaptive algorithm plate rolling measured data

Research on Curing Monitoring System of a Variable Step adaptive algorithm of the CAN Bus

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Research on Curing Monitoring System of a Variable Step Adap...

2009中国控制与决策会议

作者： TIAN Shu,WANG Xiaowei,WANG Juanjuan Institute of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo City,Henan Province,China

Traditional monitoring system of curing machines can hardly meet controlling requirement not only because it is interfered easily by the hostile environment of locale in the respect of data acquisition,but also it has a low processing speed of data and weak communication ability.This study establishes a CAN bus monitoring network which can fully utilize the powerful digital signal processing ability of DSP,and adopts a new sort of variable step LMS adaptive filtering algorithm.The algorithm resolves better the contradiction between filtering speed and precision,and then improves the accuracy of data acquisition and the real-time data processing through controlling step-size factor.Furthermore,it optimizes the performance of the filter.The CAN bus network achieve effectively the real-time sharing and monitoring of data,besides,because of the open structure,the study also supplies a foresighted thought for the later construction and capacity expansion of the system.

关键词： Monitoring system DSP adaptive algorithm CAN bus Variable step LMS

Actuator Fault Estimation Based On adaptive Iterative Learning algorithm For Nonlinear Periodic Systems

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Actuator Fault Estimation Based On Adaptive Iterative Learni...

第40届中国控制会议

作者： Ya-qi Liu Yi-ming Fang Le Liu Xing-da Li Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Engineering Research Center of the Education Ministry for Intelligent Control System and Intelligent Equipment Yanshan University

A actuator fault estimation algorithm based on adaptive iterative learning is proposed for a class of nonlinear periodic systems with actuator fault and disturbances.Firstly,the proposed method designs a state observer and a fault estimator based on adaptive iterative learning.The Lyapunov stability theory and the optimization theory are employed to prove the convergence of the method.Then the LMI toolbox is utilized to obtain the results of the observer gain matrix and fault estimator parameter matrix.The method combines the iterative learning strategy with the adaptive algorithm,and utilizes not only the state error signals of the last iteration learning,but also the output error signals of this time.It makes the estimated fault approximate to the real fault gradually and realizes the accurate estimation of the time-varying fault and the intermittent fault.Finally,the validity and accuracy of the proposed method are verified by the simulation of a single-link robotic arm mold.

关键词： Iterative learning scheme adaptive algorithm Fault estimation Actuator fault Linear matrix inequality

A novel algorithm of adaptive IIR lattice notch filter and performance analysis

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Journal of Shanghai University(English Edition) 2007年第5期11卷 485-489页

作者：秦鹏蔡萍 School of ElectronicInformation and Electrical Engineering Shanghai Jiaotong University Shanghai 200030 P. R. China

A novel adaptive algorithm of IIR lattice notch filter realized by all-pass filter is presented. The time-averaged estimation of cross correlation of the present instantaneous input signal and the past output signal is used to update the step-size, leading to a considerably improved convergence rate in a low SNR situation and reduced steady-state bias and MSE. The theoretical expression for steady-state bounds on the step-size is derived, and the influence factors on the stable performance of the algorithm theoretically are analyzed. A normalized power factor is then introduced to control variation of step-size in its steady-state bounds. This technique prevents divergence due to the influence of large power input signal and improves robustness. Numerical experiments are performed to demonstrate superiority of the proposed method.

关键词： lattice notch filter adaptive algorithm cross correction steady-state bounds normalized power factor.

Study of a Modified Fast adaptive algorithm for Digital Beamforming

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Journal of Systems Engineering and Electronics 1998年第4期9卷 75-80页

作者： Wang Zhong(Dept. of Electronic Tech., Chengdu Climate College, 610054, P. R. China)Huang Shunji(Department of Electronic Engineering, University of Electronic Science and Technology of China,Cbengdu 610054, P. R. China) Dept. of Electronic Tech. Chengdu Climate College 610054. P. R. China Department of Electronic Engineering University of Electronic Science and Technology of China Chengdu 610054 P. R. China

This paper provides a modified fast adaptive algorithm for digital beamforming. It is analgorithm with strict constraint minimum power sampling matrix gradient (CSMG). It has merits ofboth traditional sampling mains gradient (SMG) and strictly constrained minimum power adaptivealgorithm. 16-element uniform circular array is selected. Some results of computer simulation aregiven. The results indicate that the beam direction will change with constraint angle and can beadaptable to adjust zero very well. The algorithm is fast convergent.

关键词： Beam steering adaptive algorithm Gradient Convergeuce