检索结果-南通市图书馆

robust KALMAN filtering FOR SYSTEMS UNDER NORM BOUNDED UNCERTAINTIES IN ALL SYSTEM MATRICES AND ERROR COVARIANCE CONSTRAINTS

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Science & Complexity 2005年第4期18卷 439-445页

作者： XIA Yuanqing HAN Jingqing Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100080 Department of Automatic Control Beijing Institute of Technology Beijing 100081 China Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100080 China

This paper concerns robust Kalman filtering for systems under norm bounded uncertainties in all the system matrices and error covariance constraints. Sufficient conditions are given for the existence of such filters in terms of Riccati equations. The solutions to the conditions can be used to design the filters. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed design procedure.

关键词： Kalman filtering robust filtering uncertain systems error covariance Riccati equation approach.

robust Kalman filtering for Systems under Norm Bounded Uncertainties in all System Matrices and Error Covariance Constraints

在线全文

学校读者我要写书评

暂无评论

Robust Kalman Filtering for Systems under Norm Bounded Uncer...

Adaptive robust cubature Kalman filtering for satellite attitude estimation

第二十二届中国控制会议

＜正＞This paper concerns robust Kalman filtering for systems under norm bounded uncertainties in all the system matrices and error covariance constraints. Sufficient conditions are given for the existence of such filters. A Riccati equation aproach is proposed to solve the above problem. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed design procedure.

关键词： kalman filtering robust filtering uncertain systems error covariance Riccati equation approach

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Chinese Journal of Aeronautics 2018年第4期31卷 806-819页

作者： Zhenbing QIU Huaming QIAN Guoqing WANG College of Automation Harbin Engineering University

This paper is concerned with the adaptive robust cubature Kalman filtering problem for the case that the dynamics model error and the measurement model error exist simultaneously in the satellite attitude estimation system. By using Hubel-based robust filtering methodology to correct the measurement covariance formulation of cubature Kalman filter, the proposed filtering algorithm could effectively suppress the measurement model error. To further enhance this effect and reduce the impact of the dynamics model error, two different adaptively robust filtering algorithms,one with the optimal adaptive factor based on the estimated covariance matrix of the predicted residuals and the other with multiple fading factors based on strong tracking algorithm, are developed and applied for the satellite attitude estimation. The quaternion is employed to represent the global attitude parameter, and three-dimensional generalized Rodrigues parameters are introduced to define the local attitude error. A multiplicative quaternion error is derived from the local attitude error to maintain quaternion normalization constraint in the filter. Simulation results indicate that the proposed novel algorithm could exhibit higher accuracy and faster convergence compared with the multiplicative extended Kalman filter, the unscented quaternion estimator, and the adaptive robust unscented Kalman filter.

关键词： Attitude estimation Cubature Kalman filter Multiple fading factors Optimal adaptive factor robust filtering

robust L_1 filtering with pole constraint in a disk via parameter-dependent Lyapunov functions

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Engineering and Electronics 2005年第1期16卷 102-109页

作者： LiYanhui WenQiyong WangJunling WangChanghong GaoHuijun DepartmentofControlScienceandEngineering HarbinInstituteofTechnologyHarbin150001P.R.China//ElectricalandInformationEngineeringCollegeDaqingPetroleumInstituteDaqing163318P.R.China DepartmentofControlScienceandEngineering HarbinInstituteofTechnologyHarbin150001P.R.China

The problem of robust L 1 filtering with pole constraint in a disk for linear continuous polytopic uncertain systems is discussed. The attention is focused on design a linear asymptotically stable filter such that the filtering error system remains robustly stable, and has a L 1 performance constraint and pole constraint in a disk. The new robust L 1 performance criteria and regional pole placement condition are obtained via parameter-dependent Lyapunov functions method. Upon the proposed multiobjective performance criteria and by means of LMI technique, both full-order and reduced-order robust L 1 filter with suitable dynamic behavior can be obtained from the solution of convex optimization problems. Compared with earlier result in the quadratic framework, this approach turns out to be less conservative. The efficiency of the proposed technique is demonstrated by a numerical example.

关键词： robust filtering parameter-dependent Lyapunov function linear matrix inequality L 1 performance pole placement technique.

Study on robust H_∞ filtering in Networked Environments

在线全文

学校读者我要写书评

暂无评论

International Journal of Automation and computing 2011年第4期8卷 465-471页

作者： Yun-Ze Cai Li Xu Jian-Xi Gao Xiao-Ming Xu Department of Automation Shanghai Jiao Tong University Shanghai 200240 PRC Shanghai Academy of Systems Science Shanghai 200093 PRC Department of Electronics and Information Systems Akita Prefectural University Yuri-Honjo Akita 015 0055 Japan University of Shanghai for Science and Technology Shanghai 200093 PRC

This paper is concerned with the robust H ∞ filter problem for networked environments, which are subject to both transmission delay and packet dropouts randomly. By employing random series which have Bernoulli distributions taking value of 0 or 1, the data transmission model is obtained. Based on state augmentation and stochastic theory, the sufficient condition for robust stability with H ∞ constraints is derived for the filtering error system. The robust filter is designed in terms of feasibility of one certain linear matrix inequality （LMI）, which is formed by adopting matrix congruence transformations. A numerical example is given to show the effectiveness of the proposed filtering method.

关键词： robust filtering networked environments transmission delay packet dropouts linear matrix inequality (LMI).

New approaches to robust l2-l∞ and H∞ filtering for uncertain discrete-time systems

在线全文

学校读者我要写书评

暂无评论

Science in China(Series F) 2003年第5期46卷 355-370页

作者：高会军王常虹 Department of Control Science and Engineering Harbin Institute of Technology Harbin China 150001 Department of Control Science and Engineering Harbin Institute of Technology Harbin China 150001 The problems of robust I2-I∞and H∞filtering for discrete-time systems with parameter uncertainty residing in a polytope are investigated in this paper. The filtering strategies are based on new robust performance criteria derived from a new result of parameter-dependent Lyapunov stability condition which exhibit less conservativeness than previous results in the quadratic framework. The designed filters guaranteeing a prescribed I2-I∞or H∞noise attenuation level can be obtained from the solution of convex optimization problems which can be solved via efficient interior point methods. Numerical examples have shown that the filter design procedures proposed in this paper are much less conservative than earlier results.

The problems of robust I2-I∞ and H∞ filtering for discrete-time systems with parameter uncertainty residing in a polytope are investigated in this paper. The filtering strategies are based on new robust performance criteria derived from a new result of parameter-dependent Lyapunov stability condition, which exhibit less conservativeness than previous results in the quadratic framework. The designed filters guaranteeing a prescribed I2-I∞ or H∞ noise attenuation level can be obtained from the solution of convex optimization problems, which can be solved via efficient interior point methods. Numerical examples have shown that the filter design procedures proposed in this paper are much less conservative than earlier results.

关键词： robust filtering state estimation linear matrix inequality convex optimization I2-I∞ performance H∞ performance.

robust L_2-L_∞ filtering with pole constraint in a disk via parameter-dependent Lyapunov functions

在线全文

学校读者我要写书评

暂无评论

Journal of Harbin Institute of Technology(New Series) 2004年第5期11卷 552-557页

作者：李艳辉王常虹高会军 Dept. of Control Science and Engineering Harbin Institute of Technology Harbin 150001 China Electrical and Information Engineering College Daqing Petroleum Institute Daqing 163318 China

Addresses the design problems of robust L2-L∞ filters with pole constraint in a disk for uncertain continuous-time linear systems. The uncertain parameters are assumed to belong to convex bounded domains. The aim is to determine a stable linear filter such that the filtering error system possesses a prescribed L2-L∞ noise attenuation level and expected poles location. The filtering strategies are based on parameter-dependent Lyapunov stability results to derive new robust L2-L∞ performance criteria and the regional pole placement conditions. From the proposed multi-objective performance criteria, we derive sufficient conditions for the existence of robust L2-L∞ filters with pole constraint in a disk, and cast the filter design into a convex optimization problem subject to a set of linear matrix inequality constraints. This filtering method exhibits less conservativeness than previous results in the quadratic framework. The advantages of the filter design procedures are demonstrated by means of numerical examples.

关键词： robust filtering linear matrix inequality L_2-L_∞ performance pole placement technique parameter-dependent Lyapunov functions

A robust Step-Size Control Technique Based on Proportionate Constraints on Filter Update for Acoustic Echo Cancellation

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Electronics 2016年第4期25卷 692-699页

作者： WU Chao JIANG Kaiyu WANG Xiaofei GUO Yanmeng FU Qiang YAN Yonghong Institute of Acoustics Chinese Academy of Sciences

One of the main difficulties in Acoustic echo cancellation(AEC) is that the filter adaptation needs to vary according to different situations such as near-end interferences and echo path *** this paper,we propose a robust step-size control algorithm in frequency *** proposed method is based on the optimization of the square of the bin-wise a posteriori *** on the filter update is applied,which contributes to robustness to near-end interferences of the *** learning rate formula is derived first and then the relationship between the proposed algorithm and a robust statistics based approach is *** method is extended to the Multidelay block frequency domain adaptive filter(MDF) so as to meet the demand of low delay in practical ***,the values of the constraints are designed to be updated proportionately to improve the convergence *** results demonstrate the superiority of the proposed algorithm.

关键词： Acoustic echo cancellation(AEC) Stepsize control Proportionate constraints robust filtering

robust H_∞ Filter Design for a Class of Uncertain Linear Systems with Time-delayed Measurement

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

High Technology Letters 2003年第1期9卷 87-91页

作者：蔡云泽 Shen Gang HE Xing Xu Xiaoming Zhang Weidong Dept. of Automation Shanghai Jiaotong University Shanghai 200030 P. R. China

A robust H∞ approach to filtering for a class of uncertain linear systems with time-delayed measurement is investigated. The parameter uncertainties are described by real time-varying norm-bounded form. A methodology is developed for designing linear filters such that the filtering process remains robustly stable and the transfer function from the disturbance inputs to error state outputs meets the prescribed H∞-norm upper-bound constraints. The filter can be obtained and parameterized by solving two Riccati equations based on the lemma of robust stability for control system with delay. Simulation example proves the method to be effective and feasible.

关键词： robust filtering parameter uncertainty time delay