New Parameter-Identification Method Based on QR Decomposition for Nonlinear Time-Varying Systems-Reference-Cited by-同舟云学术

New Parameter-Identification Method Based on QR Decomposition for Nonlinear Time-Varying Systems

Published:2019-01 Issue:1 Volume:145 Page:04018118
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Chen Tengfei¹,He Huan²,He Cheng³,Chen Guoping⁴

Affiliation:

1. State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China.

2. Professor, State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China (corresponding author).

3. Researcher, Key Laboratory of Unmanned Aerial Vehicle Technology, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China.

4. Professor, State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0001555

Reference27 articles.

1. Identification of nonlinear systems with time-varying parameters using a sliding-neural network observer

2. On-line RBFNN based identification of rapidly time-varying nonlinear systems with optimal structure-adaptation

3. Online Identification of Linear Time-varying Stiffness of Structural Systems by Wavelet Analysis

4. Nonlinear System Identification

5. Identification of MIMO non-linear systems using a forward-regression orthogonal estimator

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