Genetic adaptive state estimation with missing input/output data-Reference-Cited by-同舟云学术

Genetic adaptive state estimation with missing input/output data

Published:2010-05-19 Issue:5 Volume:224 Page:611-617
ISSN:0959-6518
Container-title:Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering

Author:

Fang H¹,Wu J²,Shi Y²

Affiliation:

1. Department of Mechanical and Aerospace Engineering, University of California, San Diego, California, USA

2. Department of Mechanical Engineering, University of Victoria, Victoria, Canada

Abstract

This paper presents the application of a genetic algorithm to state estimation for systems subject to randomly missing input/output data. By modelling the missing data in inputs and outputs with binomial processes, a modified Luenberger observer using the reconstructed data is employed for estimation. The proposed algorithm consists of two procedures: 1) Preprocessing the missing input/output data by reconstruction based on autoregressive (AR) modelling; and 2) implementing the genetic algorithm to perform on-line adaptive state estimation from reconstructed data. The effectiveness of the proposed algorithm is verified by numerical simulation.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1243/09596518JSCE888

Reference14 articles.

1. Kalman filter-based identification for systems with randomly missing measurements in a network environment

2. Kalman filter-based adaptive control for networked systems with unknown parameters and randomly missing outputs

3. Output Feedback Stabilization of Networked Control Systems With Random Delays Modeled by Markov Chains

4. Kalman Filtering With Intermittent Observations

5. Optimal Estimation in Networked Control Systems Subject to Random Delay and Packet Drop

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Compensation of Data Loss Using ARMAX Model in State Estimation for Control and Communication Systems Applications;Energies;2021-11-12

2. A new filter-based stochastic gradient algorithm for dual-rate ARX models;International Journal of Adaptive Control and Signal Processing;2018-09-12

3. Proposing Optimal ARMA Based Model for Measurement Compensation in the State Estimation;2017 International Conference on Frontiers of Information Technology (FIT);2017-12

4. Hierarchical least squares algorithms for nonlinear feedback system modeling;Journal of the Franklin Institute;2016-07

5. A Framework and Modeling Method of Data-Driven Soft Sensors Based on Semisupervised Gaussian Regression;Industrial & Engineering Chemistry Research;2016-06-30