Identification of linear systems driven by chaotic signals using nonlinear prediction

Zhiwen Zhu; H. Leung

doi:10.1109/81.983865

Identification of linear systems driven by chaotic signals using nonlinear prediction

IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ◽

10.1109/81.983865 ◽

2002 ◽

Vol 49 (2) ◽

pp. 170-180 ◽

Cited By ~ 27

Author(s):

Zhiwen Zhu ◽

H. Leung

Keyword(s):

Linear Systems ◽

Nonlinear Prediction ◽

Chaotic Signals

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An Investigation into the Use of Delay Coordinate Embedding Technique with MIMO ANFIS for Nonlinear Prediction of Chaotic Signals

Fuzzy Systems and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/11540007_83 ◽

2005 ◽

pp. 677-688

Author(s):

Jun Zhang ◽

Weiwei Dai ◽

Muhui Fan ◽

Henry Chung ◽

Zhi Wei ◽

...

Keyword(s):

Nonlinear Prediction ◽

Embedding Technique ◽

Chaotic Signals ◽

Delay Coordinate Embedding ◽

Coordinate Embedding

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Nonlinear prediction of chaotic signals using a normalised radial basis function network

Signal Processing ◽

10.1016/s0165-1684(02)00155-x ◽

2002 ◽

Vol 82 (5) ◽

pp. 775-789 ◽

Cited By ~ 45

Author(s):

M.R Cowper ◽

B Mulgrew ◽

C.P Unsworth

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Nonlinear Prediction ◽

Chaotic Signals ◽

Radial Basis ◽

Function Network

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An EM based method for semi blind identification of linear systems driven by chaotic signals

IEEE Conference on Cybernetics and Intelligent Systems, 2004. ◽

10.1109/iccis.2004.1460475 ◽

2005 ◽

Author(s):

V. Venkatasubramanian ◽

H. Leung

Keyword(s):

Linear Systems ◽

Blind Identification ◽

Chaotic Signals

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Well-Posed Linear Systems

10.1017/cbo9780511543197 ◽

2005 ◽

Cited By ~ 142

Author(s):

Olof Staffans

Keyword(s):

Linear Systems ◽

Well Posed

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Principles of Linear Systems

10.1017/cbo9781139174756 ◽

1997 ◽

Cited By ~ 15

Author(s):

Philip E. Sarachik

Keyword(s):

Linear Systems

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THE OPTIMAL FEEDBACK CONTROL OF LINEAR SYSTEMS WITH NON-CHEAP CONTROL

Acta Mathematica Scientia ◽

10.1016/s0252-9602(18)30600-3 ◽

1983 ◽

Vol 3 (2) ◽

pp. 171-182

Author(s):

Qingkai Ye

Keyword(s):

Feedback Control ◽

Linear Systems ◽

Optimal Feedback Control ◽

Optimal Feedback ◽

Cheap Control ◽

Control Of Linear Systems

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Particularities of overdetermined linear systems arising in particle size analysis

Journal de Physique III ◽

10.1051/jp3:1992198 ◽

1992 ◽

Vol 2 (8) ◽

pp. 1547-1555

Author(s):

D. M. Calistru ◽

R. Mondescu ◽

I. Baltog

Keyword(s):

Particle Size ◽

Linear Systems ◽

Particle Size Analysis ◽

Size Analysis ◽

Overdetermined Linear Systems

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A Multiple-Set Overlapping-Domain Decomposed Monte Carlo Synthetic Acceleration Method for Linear Systems

SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo ◽

10.1051/snamc/201404211 ◽

2014 ◽

Cited By ~ 1

Author(s):

Stuart R. Slattery ◽

Thomas M. Evans ◽

Paul P.H. Wilson

Keyword(s):

Monte Carlo ◽

Linear Systems ◽

Acceleration Method

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A COMINRES-QLP Method for Solving Complex Symmetric Linear Systems

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.140.832 ◽

2020 ◽

Vol 140 (12) ◽

pp. 832-841

Author(s):

Lijun Liu ◽

Kazuaki Sekiya ◽

Masao Ogino ◽

Koki Masui

Keyword(s):

Linear Systems ◽

Complex Symmetric Linear Systems ◽

Complex Symmetric

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Fast iterative solvers for large compressed-sparse row linear systems on graphics processing unit

Pollack Periodica ◽

10.1556/pollack.10.2015.1.1 ◽

2015 ◽

Vol 10 (1) ◽

pp. 3-18 ◽

Cited By ~ 1

Author(s):

Frédéric Magoulès ◽

Abal-Kassim Cheik Ahamed ◽

Roman Putanowicz

Keyword(s):

Linear Systems ◽

Graphics Processing Unit ◽

Iterative Solvers ◽

Processing Unit ◽

Compressed Sparse Row ◽

Graphics Processing

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