Frequency-domain least-squares support vector machines to deal with correlated errors when identifying linear time-varying systems

IFAC Proceedings Volumes ◽

10.3182/20140824-6-za-1003.00119 ◽

2014 ◽

Vol 47 (3) ◽

pp. 10024-10029 ◽

Author(s):

J. Lataire ◽

D. Piga ◽

R. Tóth

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Frequency Domain ◽

Linear Time ◽

Support Vector ◽

Time Varying ◽

Correlated Errors ◽

Vector Machines ◽

Time Varying Systems

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Parameter Estimation for Time Varying Dynamical Systems using Least Squares Support Vector Machines*

IFAC Proceedings Volumes ◽

10.3182/20120711-3-be-2027.00044 ◽

2012 ◽

Vol 45 (16) ◽

pp. 1300-1305 ◽

Author(s):

Siamak Mehrkanoon ◽

Tillmann Falck ◽

Johan A.K. Suykens

Keyword(s):

Parameter Estimation ◽

Support Vector Machines ◽

Dynamical Systems ◽

Least Squares ◽

Support Vector ◽

Time Varying ◽

Vector Machines

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A Novel Hyperspectral Unmixing Method based on Least Squares Twin Support Vector Machines

European Journal of Remote Sensing ◽

10.1080/22797254.2021.1877572 ◽

2021 ◽

Vol 54 (1) ◽

pp. 72-85

Author(s):

Liguo Wang ◽

San Wang ◽

Xiuping Jia ◽

Tianyi Bi

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Twin Support Vector Machines ◽

Hyperspectral Unmixing ◽

Vector Machines

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On-line of modeling ship manoeuvring motion by using least squares support vector machines

2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management ◽

10.1109/icieem.2011.6035492 ◽

2011 ◽

Author(s):

Yan Wang ◽

Hao Meng ◽

Zhi-lin Liu ◽

Rui-ting Yu

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Ship Manoeuvring ◽

Vector Machines ◽

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Offline modeling of nonlinear systems based on least squares support vector machines

2009 International Conference on Computer Engineering & Systems ◽

10.1109/icces.2009.5383287 ◽

2009 ◽

Author(s):

M. El Bardini ◽

H. M. Khalil ◽

N. El Rabie ◽

M. Sharaf

Keyword(s):

Support Vector Machines ◽

Nonlinear Systems ◽

Least Squares ◽

Support Vector ◽

Vector Machines

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Multiclass Least Squares Wavelet Support Vector Machines

2008 IEEE International Conference on Networking, Sensing and Control ◽

10.1109/icnsc.2008.4525268 ◽

2008 ◽

Author(s):

Yongzhong Xing ◽

Xiaobei Wu ◽

Zhiliang Xu

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Vector Machines

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New predictive control algorithms based on Least Squares Support Vector Machines

Journal of Zhejiang University SCIENCE A ◽

10.1631/jzus.2005.a0440 ◽

2005 ◽

Vol 6 (5) ◽

pp. 440-446 ◽

Author(s):

Liu Bin ◽

Su Hong-ye ◽

Chu Jian

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Predictive Control ◽

Control Algorithms ◽

Support Vector ◽

Vector Machines

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Frequency Domain Total Least Squares Identification of Linear, Periodically Time-Varying Systems from noisy input-output data

IFAC Proceedings Volumes ◽

10.3182/20110828-6-it-1002.01082 ◽

2011 ◽

Vol 44 (1) ◽

pp. 13115-13120 ◽

Author(s):

E. Louarroudi ◽

J. Lataire ◽

R. Pintelon

Keyword(s):

Least Squares ◽

Frequency Domain ◽

Total Least Squares ◽

Time Varying ◽

Input Output ◽

Output Data ◽

Noisy Input ◽

Time Varying Systems

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Sound Source DOA Estimation and Localization in Noisy Reverberant Environments Using Least-Squares Support Vector Machines

Journal of Signal Processing Systems ◽

10.1007/s11265-009-0423-7 ◽

2009 ◽

Vol 63 (3) ◽

pp. 287-300 ◽

Author(s):

Huawei Chen ◽

Wee Ser

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Sound Source ◽

Doa Estimation ◽

Support Vector ◽

Reverberant Environments ◽

Vector Machines

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Trajectory Planning for Autonomous Vehicles in Time Varying Environments Using Support Vector Machines

2018 IEEE Intelligent Vehicles Symposium (IV) ◽

10.1109/ivs.2018.8500620 ◽

2018 ◽

Author(s):

Mahdi Morsali ◽

Jan Aslund ◽

Erik Frisk

Keyword(s):

Support Vector Machines ◽

Trajectory Planning ◽

Autonomous Vehicles ◽

Support Vector ◽

Time Varying ◽

Vector Machines ◽

Varying Environments

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Efficient sparse least squares support vector machines for regression

Proceedings of the 33rd Chinese Control Conference ◽

10.1109/chicc.2014.6895821 ◽

2014 ◽

Author(s):

Gangquan Si ◽

Jianquan Shi ◽

Zhang Guo ◽

Weili Zhao

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Vector Machines

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