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International Journal of Control Volume 55, 1992 - Issue 1
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Original Articles

Properties of neural networks with applications to modelling non-linear dynamical systems

S. A. BILLINGS Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield, SI, 3JD, U.K
,
H. B. JAMALUDDIN Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield, SI, 3JD, U.K
&
S. CHEN Department of Electrical Engineering, University of Edinburgh, Mayfield Road, Edinburgh, EH, 9 3JL, U.K
Pages 193-224 | Received 05 Mar 1991, Published online: 24 Apr 2007

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Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia & Riccardo CaponettoLuigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia & Riccardo Caponetto. 2001. Soft Computing. Soft Computing 81 96 .
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N.K. Sinha. (2000) System identification: from frequency response to soft computing. System identification: from frequency response to soft computing.
Xuemei Ren & Shumin Fei. (2000) Recurrent neural networks for identification of nonlinear systems. Recurrent neural networks for identification of nonlinear systems.
D. POPOVIC. 2000. Soft Computing and Intelligent Systems. Soft Computing and Intelligent Systems 419 467 .
PRAMOD GUPTA & NARESH K. SINHA. 2000. Soft Computing and Intelligent Systems. Soft Computing and Intelligent Systems 337 356 .
NARESH K. SINHA & MADAN M. GUPTA. 2000. Soft Computing and Intelligent Systems. Soft Computing and Intelligent Systems 23 38 .
Robert FullérRobert Fullér. 2000. Introduction to Neuro-Fuzzy Systems. Introduction to Neuro-Fuzzy Systems 171 254 .
P.V.S. Ponnapalli, K.C. Ho & M. Thomson. (1999) A formal selection and pruning algorithm for feedforward artificial neural network optimization. IEEE Transactions on Neural Networks 10:4, pages 964-968.
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Youmin Zhang & X.R. Li. (1999) A fast U-D factorization-based learning algorithm with applications to nonlinear system modeling and identification. IEEE Transactions on Neural Networks 10:4, pages 930-938.
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E.L. Hines, E. Llobet & J.W. Gardner. (1999) Electronic noses: a review of signal processing techniques. IEE Proceedings - Circuits, Devices and Systems 146:6, pages 297.
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G. R. Tomlinson. 1999. Modal Analysis and Testing. Modal Analysis and Testing 569 597 .
Steve A. Billings & X. Hong. (1998) Dual-orthogonal radial basis function networks for nonlinear time series prediction. Neural Networks 11:3, pages 479-493.
Crossref
M. Ayoubi. (1998) Comparison between the dynamic multi-layered perceptron and the generalised Hammerstein model for experimental identification of the loading process in diesel engines. Control Engineering Practice 6:2, pages 271-279.
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J.H Lee, D.E Kim & S.J Lee. (1998) Statistical analysis of cutting force ratios for flank-wear monitoring. Journal of Materials Processing Technology 74:1-3, pages 104-114.
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S.M. Amin, E.Y. Rodin & A.Y. Wu. (1998) Neurocontrol of nonlinear systems via local memory neurons. Mathematical and Computer Modelling 27:3, pages 65-92.
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Tsungnan Lin, B.G. Horne, C.L. Giles & S.Y. Kung. (1998) What to remember: how memory order affects the performance of NARX neural networks. What to remember: how memory order affects the performance of NARX neural networks.
Gi-Nam Wang & Gwang-Sup Kim. (1998) Adaptive online multi-phase neuro-identification method using virtual system generation. Adaptive online multi-phase neuro-identification method using virtual system generation.
Shaohua Tan, Yi Yu, Johan Suykens & Joos Vandewalle. 1998. Control and Dynamic System. Control and Dynamic System 383 433 .
H. Unbehauen & G.P. Rao. (1998) A review of identification in continuous-time systems. Annual Reviews in Control 22, pages 145-171.
Crossref
H. Verrelst, K. Van Acker, J. Suykens, B. Motmans, B. De Moor & J. Vandewalle. (1998) Application of NLq Neural Control Theory to a Ball and Beam System. European Journal of Control 4:2, pages 148-157.
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Gonzalo Acuña, Eric Latrille, Catherine Béal & Georges Corrieu. (1998) Static and dynamic neural network models for estimating biomass concentration during thermophilic lactic acid bacteria batch cultures. Journal of Fermentation and Bioengineering 85:6, pages 615-622.
Crossref
S.K. Doherty, J.B. Gomm & D. Williams. (1997) Experiment design considerations for non-linear system identification using neural networks. Computers & Chemical Engineering 21:3, pages 327-346.
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R. T. Burton, P. R. Ukrainetz, G. J. Schoenau, C. M. Sargent, X. P. Xu, P. N. Nikiforuk & K. Mertins. Some Applications of Neural Network Technology to Fluid Power Systems. Some Applications of Neural Network Technology to Fluid Power Systems.
Mihiar Ayoubi. (1997) Comparison Between the Dynamic Multi-Layered Perception and the Generalised Hammerstein Model for Experimental Identification of the Loading Process in Diesel Engines. IFAC Proceedings Volumes 30:25, pages 511-517.
Crossref
Tiago A. Piedras Lopes & Antonio Carlos R. Troyman. (1997) Neural Networks on Predictive Maintenance of Turbomachinery. IFAC Proceedings Volumes 30:18, pages 983-988.
Crossref
J. Zhou & S. Bennett. (1997) Dynamic System Fault Diagnosis Based on Neural Network Modelling. IFAC Proceedings Volumes 30:18, pages 55-60.
Crossref
H. Unbehauen & P. Rao. (1997) Identification of Continuous-Time Systems: A Tutorial. IFAC Proceedings Volumes 30:11, pages 973-999.
Crossref
M. Nørgaard, N.K. Poulsen & O. Ravn. (1997) NNSYSID and NNCTRL - MATLAB Tools for System Identification and Control with Neural Networks. IFAC Proceedings Volumes 30:11, pages 931-936.
Crossref
Pramod Gupta & Naresh K. Sinha. (1997) Intelligent Control of Robotic Manipulator Using Neural Networks. IFAC Proceedings Volumes 30:11, pages 849-854.
Crossref
P Teissier, B Perret, E Latrille, J.M Barillere & G Corrieu. (1997) A hybrid recurrent neural network model for yeast production monitoring and control in a wine base medium. Journal of Biotechnology 55:3, pages 157-169.
Crossref
Bohumir Sladek. (1997) Modelling of Laboratory Scale Models Using Recurrent Networks. IFAC Proceedings Volumes 30:7, pages 527-532.
Crossref
Johan A.K. Suykens, Bart L.R. De Moor & Joos Vandewalle. (1997) NL q Theory: A Neural Control Framework with Global Asymptotic Stability Criteria. Neural Networks 10:4, pages 615-637.
Crossref
Slawomir W. Stepniewski & Andy J. Keane. (1997) Pruning backpropagation neural networks using modern stochastic optimisation techniques. Neural Computing & Applications 5:2, pages 76-98.
Crossref
G. Lightbody & G.W. Irwin. (1997) Nonlinear control structures based on embedded neural system models. IEEE Transactions on Neural Networks 8:3, pages 553-567.
Crossref
S.M. Amin, E.Y. Rodin & A.Y. Wu. (1997) Application of dynamic neural networks to approximation and control of nonlinear systems. Application of dynamic neural networks to approximation and control of nonlinear systems.
J.A.K. Suykens, J. Vandewalle & B.L.R. De Moor. (1997) NL/sub q/ theory: checking and imposing stability of recurrent neural networks for nonlinear modeling. IEEE Transactions on Signal Processing 45:11, pages 2682-2691.
Crossref
P. Gupta & N. K. Sinha. 1997. Methods and Applications of Intelligent Control. Methods and Applications of Intelligent Control 103 136 .
Santiago Marco, Antonio Pardo, Fabrizio A.M. Davide, Corrado Di Natale, Arnaldo D'Amico, Andreas Hierlemann, Jan Mitrovics, Markus Schweizer, Udo Weimar & Wolfgang Göpel. (1996) Different strategies for the identification of gas sensing systems. Sensors and Actuators B: Chemical 34:1-3, pages 213-223.
Crossref
Mohd N. Taib, Roberto Andres & Ramaier Narayanaswamy. (1996) Extending the response range of an optical fibre pH sensor using an artificial neural network. Analytica Chimica Acta 330:1, pages 31-40.
Crossref
V.S. Santé, A. Lebert, G. Le Pottier & A. Ouali. (1996) Comparison between two statistical models for prediction of turkey breast meat colour. Meat Science 43:3-4, pages 283-290.
Crossref
J.B. Gomm, D. Williams, J.T. Evans, S.K. Doherty & P.J.G. Lisboa. (1996) Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding. Fuzzy Sets and Systems 79:1, pages 113-126.
Crossref
Gordon Lightbody & George W. Irwin. (1996) Multi-layer perceptron based modelling of nonlinear systems. Fuzzy Sets and Systems 79:1, pages 93-112.
Crossref
F. Declercq & R. De Keyser. (1996) Comparative study of neural predictors in model based predictive control. Comparative study of neural predictors in model based predictive control.
Li Yan, A.B. Rad, Y.K. Wong & H.S. Chan. (1996) Model based control using artificial neural networks. Model based control using artificial neural networks.
T. Hong, J. Zhang, A.J. Morris, E.B. Martin & M.N. Karim. (1996) Neural based predictive control of a multivariable microalgae fermentation. Neural based predictive control of a multivariable microalgae fermentation.
L. Berthouze, F. Chavand & C. Barret. (1996) A camera neural model. A camera neural model.
Wang Qing, Zhang Tong, Wang Guoxue & Li Shuying. (1996) Neural network modeling of the differential expansion of a 200 MW steam turbine. Neural network modeling of the differential expansion of a 200 MW steam turbine.
M. Norgaard, O. Ravn, L.K. Hansen & N.K. Poulsen. (1996) The NNSYSID toolbox-a MATLAB(R) toolbox for system identification with neural networks. The NNSYSID toolbox-a MATLAB(R) toolbox for system identification with neural networks.
Lih-Chang Lin & Ting-Wang Yih. (1996) Rigid model-based neural network control of flexible-link manipulators. IEEE Transactions on Robotics and Automation 12:4, pages 595-602.
Crossref
A. Piras, A. Germond, B. Buchenel, K. Imhof & Y. Jaccard. (1996) Heterogeneous artificial neural network for short term electrical load forecasting. IEEE Transactions on Power Systems 11:1, pages 397-402.
Crossref
Sigeru Omatu, Marzuki Khalid & Rubiyah YusofSigeru Omatu, Marzuki Khalid & Rubiyah Yusof. 1996. Neuro-Control and its Applications. Neuro-Control and its Applications 85 170 .
Slawomir W. Stepniewski & Andy J. Keane. 1996. Parallel Problem Solving from Nature — PPSN IV. Parallel Problem Solving from Nature — PPSN IV 771 780 .
. (1995) Active control in combustion systems. IEEE Control Systems 15:6, pages 49-63.
Crossref
P. Arena, L. Fortuna, A. Gallo, G. Nunnari & M.G. Xibilia. (1995) Air pollution estimation via neural networks. IFAC Proceedings Volumes 28:10, pages 787-792.
Crossref
S.M. Amin, E.Y. Rodin & Y. Wu. (1995) Neurocontrol of an aircraft: Application to windshear. Mathematical and Computer Modelling 22:1, pages 63-78.
Crossref
Liang Jin, P.N. Nikiforuk & M.M. Gupta. (1995) Fast neural learning and control of discrete-time nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics 25:3, pages 478-488.
Crossref
Hubert A.B. Te Braake & Gerrit Van Straten. (1995) Random activation weight neural net (RAWN) for fast non-iterative training. Engineering Applications of Artificial Intelligence 8:1, pages 71-80.
Crossref
A. Piras, A. Germond, B. Buchenel, K. Imhof & Y. Jaccard. (1995) Heterogeneous artificial neural network for short term electrical load forecasting. Heterogeneous artificial neural network for short term electrical load forecasting.
T. Czernichow, A. Germond, B. Dorizzi & P. Caire. (1995) Improving recurrent network load forecasting. Improving recurrent network load forecasting.
D. Xiaosong, D. Popovic & G. Schulz-Ekloff. (1995) The backpropagation neural network being capable of real-time identification. The backpropagation neural network being capable of real-time identification.
Abhay B. Bulsari & Henrik Saxén. (1995) A recurrent network for modeling noisy temporal sequences. Neurocomputing 7:1, pages 29-40.
Crossref
C. Lee Giles, B.G. Horne & T. Lin. (1995) Learning a class of large finite state machines with a recurrent neural network. Neural Networks 8:9, pages 1359-1365.
Crossref
A. J. Krijgsman, H. B. Verbruggen & P. M. Bruijn. 1995. Artificial Intelligence in Industrial Decision Making, Control and Automation. Artificial Intelligence in Industrial Decision Making, Control and Automation 297 325 .
Eduard Aved’yanEduard Aved’yan. 1995. Learning Systems. Learning Systems 101 109 .
Eduard Aved’yanEduard Aved’yan. 1995. Learning Systems. Learning Systems 72 87 .
Olivier Dubois, Jean-Louis Nicolas & Alain Billat. 1995. Neural Network Engineering in Dynamic Control Systems. Neural Network Engineering in Dynamic Control Systems 239 254 .
Liang Jin, Madan M. Gupta & Peter N. Nikiforuk. 1995. Fuzzy Logic and Intelligent Systems. Fuzzy Logic and Intelligent Systems 367 408 .
J.B. Gomm, P.J.G. Lisboa, D. Williams & J.T. Evans. (2016) Accurate multi-step-ahead prediction of non-linear systems using the MLP neural network with spread encoding. Transactions of the Institute of Measurement and Control 16:4, pages 203-213.
Crossref
Patrick R. Philipoom, Loren Paul Rees & Lars Wiegmann. (2007) Using Neural Networks to Determine Internally‐Set Due‐Date Assignments for Shop Scheduling*. Decision Sciences 25:5-6, pages 825-851.
Crossref
Patrick R. Philipoom, Loren Paul Rees & Lars Wiegmann. (1994) Using Neural Networks to Determine Internally-Set Due-Date Assignments for Shop Scheduling. Decision Sciences 25:5-6, pages 825-852.
Crossref
Sung-Woo Kim, Sun-Gi Hong, Tae-Duck Ohm & Ju-Jang Lee. (1994) Neural network identification and control of unstable systems using supervisory control while learning. Neural network identification and control of unstable systems using supervisory control while learning.
Dianhui Wang & Tianyou Chai. (1994) Multivariable adaptive control of unknown nonlinear dynamic systems using neural networks. Multivariable adaptive control of unknown nonlinear dynamic systems using neural networks.
Brown, Irwin, Hogg & Swidenbank. (1994) Modelling and control of generating units using neural network techniques. Modelling and control of generating units using neural network techniques.
Sorensen. (1994) Neural networks for non-linear control. Neural networks for non-linear control.
Liang Jin, P.N. Nikiforuk & M.M. Gupta. (1993) Model Matching Control of Unknown Nonlinear Systems Using Recurrent Neural Networks. IFAC Proceedings Volumes 26:2, pages 595-602.
Crossref
K.Y. Ouyang, P.L. Lee & I.T. Cameron. (1993) Polynomial System Identification using Neural Networks. IFAC Proceedings Volumes 26:2, pages 133-136.
Crossref
Y. Wu & E.Y. Rodin. (1993) Control systems in neural networks with local memory. Computers & Mathematics with Applications 26:2, pages 1-24.
Crossref
A. Bulsari & H. Saxen. (1993) Nonlinear time series analysis by neural networks: an example. Nonlinear time series analysis by neural networks: an example.
S. Zhou, D. Popovic & G. Schulz-Ekloff. (1993) An improved learning law for backpropagation networks. An improved learning law for backpropagation networks.
G. Lightbody & G. Irwin. 1993. Artificial Intelligence in Real-Time Control 1992. Artificial Intelligence in Real-Time Control 1992 37 42 .
Abhay B. Bulsari & Henrik Saxén. 1993. Artificial Neural Nets and Genetic Algorithms. Artificial Neural Nets and Genetic Algorithms 285 291 .
Tep Sastri. 1993. Operations Research in Production Planning and Control. Operations Research in Production Planning and Control 529 549 .
Rudolf Kulhavý. 1993. Mutual Impact of Computing Power and Control Theory. Mutual Impact of Computing Power and Control Theory 13 39 .
Gordon Lightbody & George W. Irwin. (1992) A Parallel Algorithm for Training Neural Network Based Nonlinear Models. IFAC Proceedings Volumes 25:20, pages 99-104.
Crossref
M.G. Rodd, H.B. Verbruggen & A.J. Krijgsman. (1992) Artificial intelligence in real-time control. Engineering Applications of Artificial Intelligence 5:5, pages 385-399.
Crossref
G. Lightbody & G. Irwin. (1992) Neural Network Modelling and Control of a Plant Exhibiting the Jump Phenomena. IFAC Proceedings Volumes 25:10, pages 37-42.
Crossref
A.J. Krijgsman, H.B. Verbruggen & M.G. Rodd. (1992) Intelligent Control: Theory and Applications. IFAC Proceedings Volumes 25:6, pages 57-67.
Crossref
G. Lightbody & G. Irwin. (1992) Neural network modelling and control of a plant exhibiting the Jump Phenomena. Annual Review in Automatic Programming 17, pages 37-42.
Crossref
Gordon Lightbody & George W. Irwin. 1992. Algorithms and Architectures for Real-Time Control 1992. Algorithms and Architectures for Real-Time Control 1992 99 104 .
A.J. Krijgsman. 1992. Application of Artificial Intelligence in Process Control. Application of Artificial Intelligence in Process Control 403 421 .
H.B. Verbruggen, A.J. Krijgsman & P.M. Bruijn. 1992. Application of Artificial Intelligence in Process Control. Application of Artificial Intelligence in Process Control 223 249 .

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