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Original Articles

Recursive hybrid algorithm for non-linear system identification using radial basis function networks

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Pages 1051-1070 | Received 23 Feb 1991, Published online: 24 Oct 2007

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O. G. Rudenko, O. O. Bezsonov & S. O. Rudenko. (2013) Robust identification of nonlinear objects with the help of an evolving radial basis network. Cybernetics and Systems Analysis 49:2, pages 173-182.
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Crossref
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Sheng Chen, Xia Hong & Chris J Harris. (2010) Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling. IEEE Transactions on Evolutionary Computation 14:4, pages 477-499.
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Xiaoou Li & Wen Yu. (2010) Neural modeling with automatic structure selection. Neural modeling with automatic structure selection.
Linya Tian, Xiaotao Yu & Hui Zhang. (2010) Notice of Retraction: Deformation Predication and Management of Large Bridge Based on Radial Basis Function Neural Network. Notice of Retraction: Deformation Predication and Management of Large Bridge Based on Radial Basis Function Neural Network.
Cruz Vega Israel & Wen Yu. (2010) Multiple fuzzy neural networks modeling with sparse data. Neurocomputing 73:13-15, pages 2446-2453.
Crossref
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Cruz Vega Israel & Wen Yu. 2010. Advances in Neural Network Research and Applications. Advances in Neural Network Research and Applications 117 127 .
Gwo‐Fong Lin, Ming‐Chang Wu, Guo‐Rong Chen & Fei‐Yu Tsai. (2009) An RBF‐based model with an information processor for forecasting hourly reservoir inflow during typhoons. Hydrological Processes 23:25, pages 3598-3609.
Crossref
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Zeng-Shun Zhao, Zeng-Guang Hou, De Xu & Min Tan. (2009) An evolutionary RBF networks based on RPCL and its application in fault diagnosis. An evolutionary RBF networks based on RPCL and its application in fault diagnosis.
Sheng Chen, Xia Hong, B.L. Luk & C.J. Harris. (2009) Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39:2, pages 457-466.
Crossref
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Babita Majhi & G. Panda. (2007) Bacterial foraging based identification of nonlinear dynamic system. Bacterial foraging based identification of nonlinear dynamic system.
Jingwen Tian, Qian Feng & Meijuan Gao. (2007) The Study of Compost Quality Evaluation Modeling Method Based on Classify Support Vector Machine for Sewage Treatment. The Study of Compost Quality Evaluation Modeling Method Based on Classify Support Vector Machine for Sewage Treatment.
Ning Jin, Derong Liu, Zhongyu Pang & Ting Huang. (2007) Wavelet Basis Function Neural Networks. Wavelet Basis Function Neural Networks.
Shyh-Ming Jong. (2007) Depth from Defocus using Radial Basis Function Networks. Depth from Defocus using Radial Basis Function Networks.
Shi Huading, Liu Jiyuan, Zhuang Dafang & Hu Yunfeng. (2007) Using the RBFN model and GIS technique to assess wind erosion hazard of Inner Mongolia, China. Land Degradation & Development 18:4, pages 413-422.
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Meijuan Gao, Jingwen Tian & Jin Li. (2006) Recognition and Predicting Lava Underground Based on Regression Support Vector Machine Using Seismic Signal. Recognition and Predicting Lava Underground Based on Regression Support Vector Machine Using Seismic Signal.
D. L. Yu & D. W. Yu. (2006) A new structure adaptation algorithm for RBF networks and its application. Neural Computing and Applications 16:1, pages 91-100.
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Xun-Xian Wang, Sheng Chen & Chris J. Harris. (2006) Using the correlation criterion to position and shape RBF units for incremental modelling. International Journal of Automation and Computing 3:4, pages 392-403.
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Ronald K. Pearson. (2006) Nonlinear empirical modeling techniques. Computers & Chemical Engineering 30:10-12, pages 1514-1528.
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Q. Meng, B. Li & H. Holstein. 2006. Advances in Computer Graphics. Advances in Computer Graphics 430 441 .
Francisco Cubillos & Gonzalo Acuña. 2006. Advances in Neural Networks - ISNN 2006. Advances in Neural Networks - ISNN 2006 808 814 .
J.-W. Park, G.K. Venayagamoorthy & R.G. Harley. (2005) MLP/RBF Neural-Networks-Based Online Global Model Identification of Synchronous Generator. IEEE Transactions on Industrial Electronics 52:6, pages 1685-1695.
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S.A. Billings & Hua-Liang Wei. (2005) A new class of wavelet networks for nonlinear system identification. IEEE Transactions on Neural Networks 16:4, pages 862-874.
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D.L. Yu, T.K. Chang & D.W. Yu. (2005) Adaptive neural model-based fault tolerant control for multi-variable processes. Engineering Applications of Artificial Intelligence 18:4, pages 393-411.
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Z. Uykan & H.N. Koivo. (2005) Analysis of Augmented-Input-Layer RBFNN. IEEE Transactions on Neural Networks 16:2, pages 364-369.
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S. Chen, X.X. Wang & D.J. Brown. (2005) Sparse incremental regression modeling using correlation criterion with boosting search. IEEE Signal Processing Letters 12:3, pages 198-201.
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D.-L. Yu, T.K. Chang & D.-W. Yu. (2005) Fault Tolerant Control of Multivariable Processes Using Auto-Tuning PID Controller. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 35:1, pages 32-43.
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N.A. Mat Isa, N. Haji A. Hamid, H.A. Mat Sakim, M.Y. Mashor & K.Z. Zamli. (2005) Intelligent classification system for cancer data based on artificial neural network. Intelligent classification system for cancer data based on artificial neural network.
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Sheng Chen, Xia Hong & Chris J. Harris. 2005. Advances in Intelligent Computing. Advances in Intelligent Computing 777 786 .
G. Ramakrishna & O.P. Malik. (2004) Radial Basis Function Identifier and Pole-Shifting Controller for Power System Stabilizer Application. IEEE Transactions on Energy Conversion 19:4, pages 663-670.
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GANCHO VACHKOV. (2011) INTEGRATED UNSUPERVISED AND ERROR-DRIVEN LEARNING FOR INCREMENTAL PROCESS IDENTIFICATION WITH NEURAL SINGLETON MODELS. International Journal of Computational Intelligence and Applications 04:03, pages 267-282.
Crossref
R.K. Pearson & Ü. Kotta. (2004) Nonlinear discrete-time models: state-space vs. I/O representations. Journal of Process Control 14:5, pages 533-538.
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A.G. Bahbah & A.A. Girgis. (2004) New Method for Generators' Angles and Angular Velocities Prediction for Transient Stability Assessment of Multimachine Power Systems Using Recurrent Artificial Neural Network. IEEE Transactions on Power Systems 19:2, pages 1015-1022.
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C.J. Harris, X. Hong & S. Chen. (2003) Sparse multioutput radial basis function network construction using combined locally regularised orthogonal least square and D-optimality experimental design. IEE Proceedings - Control Theory and Applications 150:2, pages 139-146.
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Yasuhide Kobayashi, Shinichi Tanaka & Tsuyoshi Okita. (2003) On-line Parameter Estimation of Time-varying Systems by Radial Basis Function NetworksRBFNを用いた時変システムのオンラインパラメータ推定. IEEJ Transactions on Electronics, Information and Systems 123:5, pages 953-961.
Crossref
K.Z. Mao. (2002) RBF neural network center selection based on Fisher ratio class separability measure. IEEE Transactions on Neural Networks 13:5, pages 1211-1217.
Crossref
Sharad Bhartiya & James R. Whiteley. (2002) Benefits of factorized RBF-based NMPC. Computers & Chemical Engineering 26:9, pages 1185-1199.
Crossref
O Malik. 2002. Intelligent Systems. Intelligent Systems.
J.C. Patra & A.C. Kot. (2002) Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 32:4, pages 505-511.
Crossref
T.K. Leong, P. Saratchandran & N. Sundararajan. (2002) Real-time performance evaluation of the minimal radial basis function network for identification of time varying nonlinear systems. Computers & Electrical Engineering 28:2, pages 103-117.
Crossref
Jung-Wook Park, R.G. Harley & G.K. Venayagamoorthy. (2002) Comparison of MLP and RBF neural networks using deviation signals for on-line identification of a synchronous generator. Comparison of MLP and RBF neural networks using deviation signals for on-line identification of a synchronous generator.
Jung-Wook Park, R.G. Harley & G.K. Venayagamoorthy. (2002) Comparison of MLP and RBF neural networks using deviation signals for indirect adaptive control of a synchronous generator. Comparison of MLP and RBF neural networks using deviation signals for indirect adaptive control of a synchronous generator.
Min Han & Jianhui Xi. (2002) Radial basis perceptron network and its applications for pattern recognition. Radial basis perceptron network and its applications for pattern recognition.
Kar-Ann Toh & K.Z. Mao. (2002) A global transformation approach to RBF neural network learning. A global transformation approach to RBF neural network learning.
S. Arisariyawong & S. Charoenseang. (2002) Dynamic self-organized learning for optimizing the complexity growth of radial basis function neural networks. Dynamic self-organized learning for optimizing the complexity growth of radial basis function neural networks.
X. D. Chen, X. Y. Xu, S. K. Nguang & Arthur E. Bergles. (2001) Characterization of the Effect of Corrugation Angles on Hydrodynamic and Heat Transfer Performance of Four-Start Spiral Tubes. Journal of Heat Transfer 123:6, pages 1149-1158.
Crossref
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.
Crossref
D.L. Yu & J.B. Gomm. (2001) RBFN Model Adaptation Based on Orthogonal Decomposition. IFAC Proceedings Volumes 34:14, pages 101-106.
Crossref
D.L. Yu & D.W. Yu. (2001) Controlling a MIMO process with actuator and component faults. IFAC Proceedings Volumes 34:25, pages 439-444.
Crossref
Ji-Cheng Duan & Fu-Lai Chung. (2001) Cascaded fuzzy neural network model based on syllogistic fuzzy reasoning. IEEE Transactions on Fuzzy Systems 9:2, pages 293-306.
Crossref
K. Najarian, G. A. Dumont, M. S. Davies & N. E. Heckman. (2001) PAC learning in non-linear FIR models. International Journal of Adaptive Control and Signal Processing 15:1, pages 37-52.
Crossref
. 2001. Signal Processing for Active Control. Signal Processing for Active Control 489 506 .
K. Takahashi. 2001. Radial Basis Function Networks 2. Radial Basis Function Networks 2 295 317 .
Keun Bum Kim, Jin Bae Park, Yoon Ho Choi & Guanrong Chen. (2000) Control of chaotic dynamical systems using radial basis function network approximators. Information Sciences 130:1-4, pages 165-183.
Crossref
. (2000) Author index. IEEE Transactions on Power Systems 15:4, pages 1-8.
Crossref
G. Ramakrishna, O.P. Malik, R. Segal, M.L. Kothari & S. Madnani. (2000) Discussion of "Radial basis function (RBF) network adaptive power system stabilizer" [and reply]. IEEE Transactions on Power Systems 15:4, pages 1448-1449.
Crossref
C.J. Harris & X. Hong. (2000) Data based Model Constructive Identification -Overcoming the Curse of Dimensionality. IFAC Proceedings Volumes 33:28, pages 1-12.
Crossref
P.M. Frank, E. Alcorta Garcı́a & B. Köppen-Seliger. (2000) Modelling for fault detection and isolation versus modelling for control. Mathematics and Computers in Simulation 53:4-6, pages 259-271.
Crossref
Z. Uykan, C. Guzelis, M.E. Celebi & H.N. Koivo. (2000) Analysis of input-output clustering for determining centers of RBFN. IEEE Transactions on Neural Networks 11:4, pages 851-858.
Crossref
Tomohiro Hachino, Yoshitaka Minari, Hitoshi Takata & Izuru Karube. (2000) Continuous-Time Identification of Nonlinear Systems Using Radial Basis Function Network Model and Genetic Algorithm. IFAC Proceedings Volumes 33:15, pages 787-792.
Crossref
Deng Jianping, N. Sundararajan & P. Saratchandran. (2000) Complex-Valued Minimal Radial Basis Function Neural Network for Nonlinear System Identification. IFAC Proceedings Volumes 33:15, pages 781-786.
Crossref
J.B. Gomm & D.L. Yu. (2000) Backward Centre Selection Method for On-Line Adaptation of RBF Network Models. IFAC Proceedings Volumes 33:15, pages 61-66.
Crossref
Zheng-ou Wang & Tao Zhu. (2000) An efficient learning algorithm for improving generalization performance of radial basis function neural networks. Neural Networks 13:4-5, pages 545-553.
Crossref
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.
Crossref
Richard B McLain & Michael A Henson. (2000) Principal component analysis for nonlinear model reference adaptive control. Computers & Chemical Engineering 24:1, pages 99-110.
Crossref
Liu Yong, Liu Baokun & Li Guangquan. (2000) A new training algorithm for RBF neural network. A new training algorithm for RBF neural network.
Bao Hong, Wang Renhuang, Li Xixiong & Hunag Xinhan. (2000) A cascade control system of exit temperature of drum-type asphalt concrete mixing machinery by a fuzzy RBF networks. A cascade control system of exit temperature of drum-type asphalt concrete mixing machinery by a fuzzy RBF networks.
G. Ramakrishna & O.P. Malik. (2000) Radial basis function based identifiers for adaptive PSSs in a multi-machine power system. Radial basis function based identifiers for adaptive PSSs in a multi-machine power system.
J.C. Patra, A.C. Kot & Yan Qiu Chen. (2000) Chebyschev functional link artificial neural networks for nonlinear dynamic system identification. Chebyschev functional link artificial neural networks for nonlinear dynamic system identification.
Z. Uykan & H.N. Koivo. (2000) Upper bounds on RBFN designed by input clustering. Upper bounds on RBFN designed by input clustering.
R.K. Pearson & B.A. Foss. (2000) Some relations between stability and smoothness in discrete-time dynamic models. Some relations between stability and smoothness in discrete-time dynamic models.
Robert FullérRobert Fullér. 2000. Introduction to Neuro-Fuzzy Systems. Introduction to Neuro-Fuzzy Systems 171 254 .
G. Ramakrishna & O.P. Malik. (1999) Adaptive PSS with Radial Basis Function Network Identification and Pole-shift Control. IFAC Proceedings Volumes 32:2, pages 7346-7351.
Crossref
Christian Schicfer, H. Peter Jögl, Franz X. Rubenzucker & Heinrich Aberl. (1999) Adaptive Control of a Galvannealing Process with a Radial Basis Function Network. IFAC Proceedings Volumes 32:2, pages 7179-7184.
Crossref
Yi Zhang, Jiau Chu & JinChang Gao. (1999) A neurofuzzy network structure for nonlinear system modeling. IFAC Proceedings Volumes 32:2, pages 5265-5270.
Crossref
W.C. Daniel Ho & Jinhua Xu. (1999) Wavelet neural networks for continuous time nonlinear system identification. IFAC Proceedings Volumes 32:2, pages 3885-3890.
Crossref
Kwanghee Nam. (1999) Stabilization of feedback linearizable systems using a radial basis function network. IEEE Transactions on Automatic Control 44:5, pages 1026-1031.
Crossref
J.C. Patra, R.N. Pal, B.N. Chatterji & G. Panda. (1999) Identification of nonlinear dynamic systems using functional link artificial neural networks. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 29:2, pages 254-262.
Crossref
G. Ramakrishna & O.P. Malik. (1999) RBF identifier and predictive controller for multi-machine power system. RBF identifier and predictive controller for multi-machine power system.
G. Ramakrishna & O.P. Malik. (1999) Adaptive control of power systems using radial basis function network identification and predictive control calculations. Adaptive control of power systems using radial basis function network identification and predictive control calculations.
K. Najarian, G.A. Dumont & M.S. Davies. (1999) A learning-theory-based training algorithm for variable-structure dynamic neural modeling. A learning-theory-based training algorithm for variable-structure dynamic neural modeling.
G. Ramakrishna & O.P. Malik. (1999) RBF identifier and pole-shifting controller for PSS application. RBF identifier and pole-shifting controller for PSS application.
Chi Sing Leung, G.H. Young, J. Sum & Wing-Kay Kan. (1999) On the regularization of forgetting recursive least square. IEEE Transactions on Neural Networks 10:6, pages 1482-1486.
Crossref
J. Sum, Chi-Sing Leung, G.H. Young & Wing-Kay Kan. (1999) On the Kalman filtering method in neural network training and pruning. IEEE Transactions on Neural Networks 10:1, pages 161-166.
Crossref
E. Swidenbank, S. McLoone, D. Flynn, G.W. Irwin, M.D. Brown & B.W. Hogg. (1999) Neural network based control for synchronous generators. IEEE Transactions on Energy Conversion 14:4, pages 1673-1678.
Crossref
C. Schiefer, F.X. Rubenzucker, H.P. Jorgl & H.R. Aberl. (1999) A neural network controls the galvannealing process. IEEE Transactions on Industry Applications 35:1, pages 114-118.
Crossref
Tomohiro Hachino & Hitoshi Takata. (1999) Identification in nonlinear systems by using an automatic choosing function and a genetic algorithm. Electrical Engineering in Japan 125:4, pages 43-51.
Crossref
John D. Bomberger & Dale E. Seborg. (1998) Determination of model order for NARX models directly from input-output data. Journal of Process Control 8:5-6, pages 459-468.
Crossref
S. McLoone, M.D. Brown, G. Irwin & A. Lightbody. (1998) A hybrid linear/nonlinear training algorithm for feedforward neural networks. IEEE Transactions on Neural Networks 9:4, pages 669-684.
Crossref
Lu Yingwei, N. Sundararajan & P. Saratchandran. (1998) Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm. IEEE Transactions on Neural Networks 9:2, pages 308-318.
Crossref
Xudong Wang, Yuhua Ding & Huihe Shao. (1998) The improved radial basis function neural network and its application. Artificial Life and Robotics 2:1, pages 8-11.
Crossref
T. Shingu & H. Takata. (1998) Identification by Chebyshev polynomials for discrete noisy nonlinear systems. Identification by Chebyshev polynomials for discrete noisy nonlinear systems.
G. Hardier. (1998) Recurrent RBF networks for suspension system modeling and wear diagnosis of a damper. Recurrent RBF networks for suspension system modeling and wear diagnosis of a damper.
R.B. McLain & M.A. Henson. (1998) Process application of a nonlinear adaptive control strategy based on radial basis function networks. Process application of a nonlinear adaptive control strategy based on radial basis function networks.
Fuchun Sun, Zengqi Sun & Peng-Yung Woo. (1998) Stable neural-network-based adaptive control for sampled-data nonlinear systems. IEEE Transactions on Neural Networks 9:5, pages 956-968.
Crossref
S.A. Billings & S Chen. 1998. Control and Dynamic System. Control and Dynamic System 231 278 .
Dimitry Gorinevsky. 1998. Optimization Techniques. Optimization Techniques 353 394 .

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