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International Journal of Systems Science Volume 28, 1997 - Issue 4
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Original Articles

A neurofuzzy network structure for modelling and state estimation of unknown nonlinear systems

ZHI QIAO WU† Image, Speech and Intelligent System Research Group, Department of Electronics and Computer Science, University of Southampton, Southampton, SO, 17 1BJ, U.K. E-mail: e-mail: [email protected].
&
CHRIS J. HARRIS Image, Speech and Intelligent System Research Group, Department of Electronics and Computer Science, University of Southampton, Southampton, SO, 17 1BJ, U.K. E-mail: e-mail: [email protected].
Pages 335-345 | Received 07 Jun 1996, Accepted 14 Oct 1996, Published online: 05 Apr 2007

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Rabiah Badar & Laiq Khan. (2014) Coordinated Adaptive Control of Multiple Flexible AC Transmission Systems using Multiple-input—Multiple-output Neuro-fuzzy Damping Control Paradigms. Electric Power Components and Systems 42:8, pages 818-830.
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Zhijie Zhou, Changhua Hu, Maoyin Chen, Huafeng He & Bangcheng Zhang. (2010) An improved fuzzy Kalman filter for state estimation of non-linear systems. International Journal of Systems Science 41:5, pages 537-546.
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A. E. Ruano, C. Cabrita, J. V. Oliveira & L. T. Kóczy. (2002) Supervised training algorithms for B-Spline neural networks and neuro-fuzzy systems. International Journal of Systems Science 33:8, pages 689-711.
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Laiq Khan & Rabiah Badar. 2015. Research Methods. Research Methods 170 210 .
Laiq Khan & Rabiah Badar. 2014. Handbook of Research on Novel Soft Computing Intelligent Algorithms. Handbook of Research on Novel Soft Computing Intelligent Algorithms 787 828 .
C. Treesatayapun. (2011) Fuzzy rules emulated networks with adaptive controller for nonaffine discrete-time systems. Neural Computing and Applications 21:1, pages 55-65.
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Chidentree Treesatayapun. (2011) A discrete-time stable controller for an omni-directional mobile robot based on an approximated model. Control Engineering Practice 19:2, pages 194-203.
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Oleg S. Amosov & Liudmila N. Amosova. (2009) Random sequences optimal estimation by using regression and wavelets. Random sequences optimal estimation by using regression and wavelets.
Oleg S. Amosov & Lyudmila N. Amosova. (2008) Optimal Estimation by Using Fuzzy Systems. IFAC Proceedings Volumes 41:2, pages 6094-6099.
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Javad Rezaie, Behzad Moshiri & Babak N. Araabi. (2007) distributed estimation fusion with global track feedback using a modified LOLIMOT algorithm. distributed estimation fusion with global track feedback using a modified LOLIMOT algorithm.
Javad Rezaie, Behzad Moshiri, Amir Rafati & Babak N. Araabi. (2007) A Modified LOLIMOT Algorithm for Nonlinear Estimation Fusion. A Modified LOLIMOT Algorithm for Nonlinear Estimation Fusion.
Javad Rezaie, Behzad Moshiri, Amir Rafati & Babak N. Araabi. (2007) Modified LOLIMOT algorithm for nonlinear centralized Kalman filtering fusion. Modified LOLIMOT algorithm for nonlinear centralized Kalman filtering fusion.
Javad Rezaie, Farzam Tourani, Behzad Moshiri & Babak N. Araabi. (2007) DATA-BASED MODELLING OF NONLINEAR SYSTEMS USING A MODIFIED LOLIMOT ALGORITHM. IFAC Proceedings Volumes 40:21, pages 25-30.
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J. Rezaie, B. Moshiri & B. Araabi. (2007) LAND VEHICLE STATE ESTIMATION USING A MODIFIED LOLIMOT ALGORITHM. IFAC Proceedings Volumes 40:10, pages 47-54.
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P. J. Escamilla-Ambrosio. (2006) A Neurofuzzy Adaptive Kalman Filter. A Neurofuzzy Adaptive Kalman Filter.
C. Harris & Q. Gan. 2002. Multisensor Fusion. Multisensor Fusion 435 456 .
X. Hong & C.J. Harris. (2001) Neurofuzzy design and model construction of nonlinear dynamical processes from data. IEE Proceedings - Control Theory and Applications 148:6, pages 530-538.
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C J Harris & X Hong. (2016) Neurofuzzy control using Kalman filtering state feedback with coloured noise for unknown non-linear processes. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 215:5, pages 423-435.
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Chris J. Harris & Qiang Gan. (2001) State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models. Information Fusion 2:1, pages 17-29.
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Xia Hong & C.J. Harris. (2001) Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks. IEEE Transactions on Fuzzy Systems 9:1, pages 88-101.
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Qiang Gan & C.J. Harris. (2001) A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling. IEEE Transactions on Neural Networks 12:1, pages 43-53.
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C.J. Harris & X. Hong. (2000) Data based Model Constructive Identification -Overcoming the Curse of Dimensionality. IFAC Proceedings Volumes 33:28, pages 1-12.
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X. Hong & C.J. Harris. (2000) Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition. IEEE Transactions on Neural Networks 11:4, pages 889-902.
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X. Hong & C.J. Harris. (2000) Neurofuzzy network model construction using Bézier-Bernstein polynomial functions. IEE Proceedings - Control Theory and Applications 147:3, pages 337-343.
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C.J. HARRIS, X. HONG & Q. GAN. 2000. Soft Computing and Intelligent Systems. Soft Computing and Intelligent Systems 377 402 .
Yi Zhang, Jiau Chu & JinChang Gao. (1999) A neurofuzzy network structure for nonlinear system modeling. IFAC Proceedings Volumes 32:2, pages 5265-5270.
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Qiang Gan & C.J. Harris. (1999) Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 29:6, pages 802-817.
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Qiang Gan & C.J. Harris. (1999) Fuzzy local linearization and local basis function expansion in nonlinear system modeling. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 29:4, pages 559-565.
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Chris J. Harris, Zhi Qiao Wu & Qiang Gan. (1999) Neurofuzzy state estimators and their applications. Annual Reviews in Control 23, pages 149-158.
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N D Matthews, P E An, J M Roberts & C J Harris. (2016) A neurofuzzy approach to future intelligent driver support systems. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 212:1, pages 43-58.
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Chris J. Harris & Zhi Qiao Wu. (1997) Neurofuzzy State Estimators and their Applications. IFAC Proceedings Volumes 30:25, pages 7-15.
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