Robust adaptive neural sliding mode control of MEMS triaxial gyroscope with angular velocity estimation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-012-1213-x.pdf
Reference21 articles.
1. Leland R (2006) Adaptive control of a MEMS gyroscope using Lyapunov methods. IEEE Trans Control Syst Technol 14(2):278–283
2. Batur C, Sreeramreddy T (2006) Sliding mode control of a simulated MEMS gyroscope. ISA Trans 45(1):99–108
3. Sung W, Sung C, Kim S, Lee Y (2009) On the mode-matched control of MEMS vibratory gyroscope via phase-domain analysis and design. IEEE/ASME Trans Mechatron 14(4):446–455
4. Park R, Horowitz R, Hong S, Nam Y (2007) Trajectory-switching algorithm for a MEMS gyroscope. IEEE Trans Instrum Meas 56(60):2561–2569
5. John J, Vinay T (2006) Novel concept of a single mass adaptively controlled triaxial angular velocity sensor. IEEE Sens J 6(3):588–595
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1. Adaptive neural nonsingular terminal sliding mode control for MEMS gyroscope based on dynamic surface controller;International Journal of Machine Learning and Cybernetics;2017-03-04
2. A new MEMS gyroscope drift suppression method for the low-cost untwisting spin platform;IEEJ Transactions on Electrical and Electronic Engineering;2016-12-28
3. An RBF neural network approach to geometric error compensation with displacement measurements only;Neural Computing and Applications;2016-07-20
4. Soft sliding mode controller design for uncertain delta operator systems;Neural Computing and Applications;2015-08-23
5. Adaptive neural sliding control of MEMS gyroscope with robust feedback compensator;Transactions of the Institute of Measurement and Control;2015-05-22
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