Joint state and multi-innovation parameter estimation for time-delay linear systems and its convergence based on the Kalman filtering-Reference-Cited by-同舟云学术

Joint state and multi-innovation parameter estimation for time-delay linear systems and its convergence based on the Kalman filtering

Published:2017-03 Issue: Volume:62 Page:211-223
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Ding Feng,Wang Xuehai,Mao Li,Xu Ling

Funder

National Natural Science Foundation of China

Henan Higher Education Institutions

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

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4. Recursive least squares and multi-innovation stochastic gradient parameter estimation methods for signal modeling;Xu;Circuits Syst. Signal Process.,2017

5. Adaptive Sliding mode control of Markov jump nonlinear systems with actuator faults;Li;IEEE Trans. Autom. Control,2016

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