Advanced search
Publication Cover
International Journal of Control Volume 58, 1993 - Issue 4
Submit an article Journal homepage
65
Views
108
CrossRef citations to date
0
Altmetric
Original Articles

ASMO—Dan algorithm for adaptive spline modelling of observation data

TOM KAVLI SINTEF SI, Box 124 Blindern, Oslo 3, 0314, Norway.
Pages 947-967 | Received 17 Jun 1993, Published online: 15 Mar 2007

Citations (108)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (12)

X. Hong, R.J. Mitchell & S. Chen. (2013) System identification of Wiener systems with B-spline functions using De Boor recursion. International Journal of Systems Science 44:9, pages 1666-1674.
Read now
X. Hong, R.J. Mitchell & S. Chen. (2012) Modelling and control of Hammerstein system using B-spline approximation and the inverse of De Boor algorithm. International Journal of Systems Science 43:10, pages 1976-1984.
Read now
X. Hong, R.J. Mitchell, S. Chen, C.J. Harris, K. Li & G.W. Irwin. (2008) Model selection approaches for non-linear system identification: a review. International Journal of Systems Science 39:10, pages 925-946.
Read now
S.-Y. Kim & B. Y. Moon. (2006) Wake distribution prediction on the propeller plane in ship design using artificial intelligence. Ships and Offshore Structures 1:2, pages 89-98.
Read now
S. A. Billings & H. L. Wei. (2005) The wavelet-NARMAX representation: A hybrid model structure combining polynomial models with multiresolution wavelet decompositions. International Journal of Systems Science 36:3, pages 137-152.
Read now
H. L. Wei & S. A. Billings. (2004) A unified wavelet-based modelling framework for non-linear system identification: the WANARX model structure. International Journal of Control 77:4, pages 351-366.
Read now
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.
Read now
S. C. Mcloone, S. Mcginnity & G. W. Irwin. (2002) Comparison of two construction algorithms for local model networks. International Journal of Systems Science 33:13, pages 1059-1072.
Read now
C. J. Harris & J. B. Gao. (2002) An adaptive multiscale basis method for modelling discrete-time non-linear dynamical systems. International Journal of Control 75:3, pages 141-153.
Read now
D. Coca & S. A. Billings. (2001) Non-linear system identification using wavelet multiresolution models. International Journal of Control 74:18, pages 1718-1736.
Read now
A. Talaie, J. Y. Lee, Y. K. Lee, K. Adachi, T. Taguchi, E. Maeder, J. Jang & J. A. Romagnoli. (2000) Dynamic modeling of a polymeric composite interface: An introduction to in-situ neurocomputing in composite-based PH sensors . Composite Interfaces 8:2, pages 127-134.
Read now
S. CHEN, E. S. CHNG & K. ALKADHIMI. (1996) Regularized orthogonal least squares algorithm for constructing radial basis function networks. International Journal of Control 64:5, pages 829-837.
Read now

Articles from other publishers (96)

Isam Shahrour & Wengang Zhang. (2021) Use of soft computing techniques for tunneling optimization of tunnel boring machines. Underground Space 6:3, pages 233-239.
Crossref
Oliver NellesOliver Nelles. 2020. Nonlinear System Identification. Nonlinear System Identification 175 231 .
Oliver NellesOliver Nelles. 2020. Nonlinear System Identification. Nonlinear System Identification 347 391 .
Oliver NellesOliver Nelles. 2020. Nonlinear System Identification. Nonlinear System Identification 1 20 .
R. Ferreira, M.G. Ruano & A.E. Ruano. (2017) Intelligent non-invasive modeling of ultrasound-induced temperature in tissue phantoms. Biomedical Signal Processing and Control 33, pages 141-150.
Crossref
Ahmad Zibafar, Sahand Ghaffari & Gholamreza Vossoughi. (2016) Achieving transparency in series elastic actuator of sharif lower limb exoskeleton using LLNF-NARX model. Achieving transparency in series elastic actuator of sharif lower limb exoskeleton using LLNF-NARX model.
M. G. Ruano & A. E. Ruano. (2016) Towards ultrasound hyperthermia safe treatments using computational intelligence techniques. Towards ultrasound hyperthermia safe treatments using computational intelligence techniques.
R. Ferreira, M.G. Ruano & A.E. Ruano. (2016) Non-invasive modelling of ultrasound-induced temperature in tissues: a b-splines neural network solution**A. E. Ruano would like to acknowledge the support of the Portuguese Foundation for Science and Technology, through IDMEC, under LAETA, project UID/EMS/50022/2013.. IFAC-PapersOnLine 49:5, pages 297-302.
Crossref
Sheng Chen, Xia Hong, Junbin Gao & Chris J. Harris. (2014) Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems. IEEE Transactions on Neural Networks and Learning Systems 25:9, pages 1673-1685.
Crossref
X. Hong, S. Iplikci, S. Chen & K. Warwick. (2012) A model‐based PID controller for Hammerstein systems using B‐spline neural networks. International Journal of Adaptive Control and Signal Processing 28:3-5, pages 412-428.
Crossref
Stephen A Billings. 2013. Nonlinear System Identification. Nonlinear System Identification 289 336 .
Stephen A Billings. 2013. Nonlinear System Identification. Nonlinear System Identification 473 548 .
Sheng Chen, Xia Hong, Yu Gong & Chris J. Harris. (2013) Digital Predistorter Design Using B-Spline Neural Network and Inverse of De Boor Algorithm. IEEE Transactions on Circuits and Systems I: Regular Papers 60:6, pages 1584-1594.
Crossref
Xia Hong, Sheng Chen & Chris J. Harris. 2013. Complex‐Valued Neural Networks. Complex‐Valued Neural Networks 209 234 .
Mohamed A. Shahin. 2013. Metaheuristics in Water, Geotechnical and Transport Engineering. Metaheuristics in Water, Geotechnical and Transport Engineering 169 204 .
Mohammad Reza Rafimanzelat & Seyed Hossein Iranmanesh. (2012) Application of ANFIS and LLNF models to automobile fuel consumption prediction: A comparative study. Application of ANFIS and LLNF models to automobile fuel consumption prediction: A comparative study.
Xia Hong & Sheng Chen. (2012) The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization. Neurocomputing 82, pages 216-223.
Crossref
Tao Ding & Hong Fei Xiao. (2011) Wind Speed Prediction Model Based on Radial Basis Functional Neural Network. Advanced Materials Research 383-390, pages 5656-5662.
Crossref
Xia Hong & Sheng Chen. (2011) Modeling of Complex-Valued Wiener Systems Using B-Spline Neural Network. IEEE Transactions on Neural Networks 22:5, pages 818-825.
Crossref
David T Yeh, Jonathan S Abel & Julius O Smith. (2010) Automated Physical Modeling of Nonlinear Audio Circuits For Real-Time Audio Effects—Part I: Theoretical Development. IEEE Transactions on Audio, Speech, and Language Processing 18:4, pages 728-737.
Crossref
C.L. Lin, J.F. Wang, C.Y. Chen, C.W. Chen & C.W. Yen. (2009) Improving the generalization performance of RBF neural networks using a linear regression technique. Expert Systems with Applications 36:10, pages 12049-12053.
Crossref
Masoud Mirmomeni, Caro Lucas, Masoud Shafiee, Babak N. Araabi & Elaheh Kamaliha. (2009) Fuzzy descriptor systems and spectral analysis for chaotic time series prediction. Neural Computing and Applications 18:8, pages 991-1004.
Crossref
Sheng CHEN. (2009) Orthogonal-Least-Squares Forward Selection for Parsimonious Modelling from Data. Engineering 01:02, pages 55-74.
Crossref
Dajun Du, Kang li, Minrui Fei & George W. Irwin. (2009) Automatic Forward Model Selection Based on Leave-One-Out Cross-Validation. IFAC Proceedings Volumes 42:10, pages 874-879.
Crossref
Shang-Ming Zhou & John Q. Gan. (2008) Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling. Fuzzy Sets and Systems 159:23, pages 3091-3131.
Crossref
Javad Abdi & Mohammad Ali Nekoui. (2008) Determined prediction of nonlinear time series via emotional temporal difference learning. Determined prediction of nonlinear time series via emotional temporal difference learning.
Soo-Chul Shin. (2008) A Study on Preliminary Design of Warships by Economic Evaluation. Journal of the Society of Naval Architects of Korea 45:2, pages 221-228.
Crossref
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.
Frédéric Ros, Marco Pintore, Arnaud Deman & Jacques R. Chrétien. (2007) Automatical initialization of RBF neural networks. Chemometrics and Intelligent Laboratory Systems 87:1, pages 26-32.
Crossref
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.
Crossref
J. Rezaie, B. Moshiri & B. Araabi. (2007) LAND VEHICLE STATE ESTIMATION USING A MODIFIED LOLIMOT ALGORITHM. IFAC Proceedings Volumes 40:10, pages 47-54.
Crossref
Ali Gholipour, Babak N. Araabi & Caro Lucas. (2006) Predicting Chaotic Time Series Using Neural and Neurofuzzy Models: A Comparative Study. Neural Processing Letters 24:3, pages 217-239.
Crossref
Shang-Ming Zhou & John Q. Gan. (2006) Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure. Fuzzy Sets and Systems 157:8, pages 1057-1074.
Crossref
S. Chen. (2006) Local regularization assisted orthogonal least squares regression. Neurocomputing 69:4-6, pages 559-585.
Crossref
M.A. Shahin & M.B. Jaksa. (2005) Neural network prediction of pullout capacity of marquee ground anchors. Computers and Geotechnics 32:3, pages 153-163.
Crossref
S. Chen, X. Hong, C.J. Harris & P.M. Sharkey. (2004) Sparse Modeling Using Orthogonal Forward Regression With PRESS Statistic and Regularization. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 34:2, pages 898-911.
Crossref
Jie Zhou & Liqun Li. (2004) Regularized B-spline network and its application to heart arrhythmia classification. Regularized B-spline network and its application to heart arrhythmia classification.
D. Girimonte & R. Babuska. (2004) Structure selection for nonlinear models with mixed discrete and continuous inputs: a comparative study. Structure selection for nonlinear models with mixed discrete and continuous inputs: a comparative study.
D. Girimonte, R. Babuska & J. Abonyi. (2004) Fuzzy clustering for selecting structure of nonlinear models with mixed discrete and continuous inputs. Fuzzy clustering for selecting structure of nonlinear models with mixed discrete and continuous inputs.
Mahdi Jalili-Kharaajoo. 2004. Advances in Artificial Intelligence – IBERAMIA 2004. Advances in Artificial Intelligence – IBERAMIA 2004 697 707 .
Farzan Rashidi & Mehran Rashidi. 2004. Rough Sets and Current Trends in Computing. Rough Sets and Current Trends in Computing 685 690 .
Mahdi Jalili-Kharaajoo. 2004. Artificial Intelligence and Soft Computing - ICAISC 2004. Artificial Intelligence and Soft Computing - ICAISC 2004 308 313 .
M.A. Shahin, H.R. Maier & M.B. Jaksa. (2003) Settlement prediction of shallow foundations on granular soils using B-spline neurofuzzy models. Computers and Geotechnics 30:8, pages 637-647.
Crossref
Tarek SayedArash TavakolieAbdolmehdi Razavi. (2003) Comparison of Adaptive Network Based Fuzzy Inference Systems and B-spline Neuro-Fuzzy Mode Choice Models. Journal of Computing in Civil Engineering 17:2, pages 123-130.
Crossref
Pascal F. van Lith, Ben H.L. Betlem & Brian Roffel. (2002) A structured modeling approach for dynamic hybrid fuzzy-first principles models. Journal of Process Control 12:5, pages 605-615.
Crossref
Meng Joo Er & Shiqian Wu. (2002) A fast learning algorithm for parsimonious fuzzy neural systems. Fuzzy Sets and Systems 126:3, pages 337-351.
Crossref
Qiang Gan. (2002) Exploring recurrent learning for neurofuzzy networks using regularization theory. Exploring recurrent learning for neurofuzzy networks using regularization theory.
N. Dharia, J. Gownipalli, O. Kaynak & B.M. Wilamowski. (2002) Fuzzy controller with second order defuzzification algorithm. Fuzzy controller with second order defuzzification algorithm.
S. Chen. (2002) Multi-output regression using a locally regularised orthogonal least-squares algorithm. IEE Proceedings - Vision, Image, and Signal Processing 149:4, pages 185.
Crossref
Holger R. Maier, Tarek Sayed & Barbara J. Lence. (2001) Forecasting cyanobacterium Anabaena spp. in the River Murray, South Australia, using B-spline neurofuzzy models. Ecological Modelling 146:1-3, pages 85-96.
Crossref
X. Hong & C.J. Harris. (2001) Neurofuzzy mixture of experts network parallel learning and model construction algorithms. IEE Proceedings - Control Theory and Applications 148:6, pages 456-465.
Crossref
T.J.A.de Vries, W.J.R. Velthuis & L.J. Idema. (2001) Application of parsimonious learning feedforward control to mechatronic systems. IEE Proceedings - Control Theory and Applications 148:4, pages 318-322.
Crossref
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.
Crossref
Ka Fai Cedric Yiu, Song Wang, Kok Lay Teo & Ah Chung Tsoi. (2001) Nonlinear system modeling via knot-optimizing B-spline networks. IEEE Transactions on Neural Networks 12:5, pages 1013-1022.
Crossref
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.
Crossref
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.
Crossref
Holger R. MaierTarek SayedBarbara J. Lence. (2000) Forecasting Cyanobacterial Concentrations Using B-Spline Networks. Journal of Computing in Civil Engineering 14:3, pages 183-189.
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
J. Abonyi, Á. Bódizs, L. Nagy & F. Szeifert. (2000) Hybrid Fuzzy Convolution Model and its Application in Predictive Control. Chemical Engineering Research and Design 78:4, pages 597-604.
Crossref
Y. Jin. (2000) Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement. IEEE Transactions on Fuzzy Systems 8:2, pages 212-221.
Crossref
Tarek SayedAbdolmehdi Razavi. (2000) Comparison of Neural and Conventional Approaches to Mode Choice Analysis. Journal of Computing in Civil Engineering 14:1, pages 23-30.
Crossref
C.J. HARRIS, X. HONG & Q. GAN. 2000. Soft Computing and Intelligent Systems. Soft Computing and Intelligent Systems 377 402 .
James G. ShanahanJames G. Shanahan. 2000. Soft Computing for Knowledge Discovery. Soft Computing for Knowledge Discovery 199 237 .
James G. ShanahanJames G. Shanahan. 2000. Soft Computing for Knowledge Discovery. Soft Computing for Knowledge Discovery 93 127 .
Simon Feraday, Chris Harris, Kihong Shin, Mike Brennan & Malcolm Lindsay. 2000. Intelligent Problem Solving. Methodologies and Approaches. Intelligent Problem Solving. Methodologies and Approaches 46 55 .
S. A. BILLINGS & D. COCA. (2011) DISCRETE WAVELET MODELS FOR IDENTIFICATION AND QUALITATIVE ANALYSIS OF CHAOTIC SYSTEMS. International Journal of Bifurcation and Chaos 09:07, pages 1263-1284.
Crossref
M. A. Unar & D. J. Murray-Smith. (1999) Automatic steering of ships using neural networks. International Journal of Adaptive Control and Signal Processing 13:4, pages 203-218.
Crossref
S. Chen, Y. Wu & B.L. Luk. (1999) Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks. IEEE Transactions on Neural Networks 10:5, pages 1239-1243.
Crossref
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.
Crossref
James F. Baldwin, Trevor P. Martin & James G. Shanahan. 1999. Fuzzy Logic in Artificial Intelligence. Fuzzy Logic in Artificial Intelligence 91 116 .
M. Setnes, A. Koene, R. Babuska & P.M. Bruijn. (1998) Data-driven initialization and structure learning in fuzzy neural networks. Data-driven initialization and structure learning in fuzzy neural networks.
J. Raitamaki. (1998) Improving the performance of fuzzy systems by using local partitioning. Improving the performance of fuzzy systems by using local partitioning.
S.A. Billings & S Chen. 1998. Control and Dynamic System. Control and Dynamic System 231 278 .
G.-J. Menken. (1997) Modularly structured B-spline networks for internal model control. Modularly structured B-spline networks for internal model control.
Oliver Nelles. 1997. Fuzzy Evolutionary Computation. Fuzzy Evolutionary Computation 269 295 .
N. M. Allinson & A. R. Kolcz. 1997. Mathematics of Neural Networks. Mathematics of Neural Networks 3 14 .
Afshad Talaie & Jose A. Romagnoli. (1996) Application of artificial neural networks to the real-time operation of conducting polymer sensors: a pattern recognition approach. Synthetic Metals 82:1, pages 27-33.
Crossref
Erik Weyer & Tom Kavli. (1996) Analysis of the ASMOD Algorithm for Empirical Modelling. IFAC Proceedings Volumes 29:1, pages 4416-4421.
Crossref
M. Brown, D.J. Mills & C.J. Harris. (1996) The representation of fuzzy algorithms used in adaptive modelling and control schemes. Fuzzy Sets and Systems 79:1, pages 69-91.
Crossref
T.A. Johansen. (1996) Robust identification of Takagi-Sugeno-Kang fuzzy models using regularization. Robust identification of Takagi-Sugeno-Kang fuzzy models using regularization.
M. Amrhein, B. Srinivasan, D. Bonvin & M.M. Schumacher. (1996) Inferring concentrations on-line from near-infrared spectra: Nonlinear calibration via mid-infrared measurements. Computers & Chemical Engineering 20, pages S975-S980.
Crossref
Stuart M. Green & Garland R. Marshall. (1995) 3D-QSAR: a current perspective. Trends in Pharmacological Sciences 16:9, pages 285-291.
Crossref
N.A. Bridgett, J. Brandt & C.J. Harris. (1995) An Overview of an Intelligent Decision Support System for Breast Cancer Diagnosis & Treatment. IFAC Proceedings Volumes 28:10, pages 267-272.
Crossref
Tor A. Johansen & Bjarne A. Foss. (1995) Identification of non-linear system structure and parameters using regime decomposition. Automatica 31:2, pages 321-326.
Crossref
Tor A. Johansen & Bjarne A. Foss. (1995) Semi-empirical modeling of non-linear dynamic systems through identification of operating regimes and local models. Modeling, Identification and Control: A Norwegian Research Bulletin 16:4, pages 213-232.
Crossref
N.A. Bridgett, J. Brandt & C.J. Harris. (1995) A neurofuzzy route to breast cancer diagnosis and treatment. A neurofuzzy route to breast cancer diagnosis and treatment.
D.J. Mills, M. Brown & C.J. Harris. 1995. Artificial Intelligence in Real-Time Control 1994. Artificial Intelligence in Real-Time Control 1994 191 196 .
Gonzalo Cabodevila, Nicolas Chaillet & Gabriel Abba. 1995. Autonome Mobile Systeme 1995. Autonome Mobile Systeme 1995 90 99 .
K. M. Bossley, D. J. Mills, M. Brown & C. J. Harris. 1995. Neural Network Engineering in Dynamic Control Systems. Neural Network Engineering in Dynamic Control Systems 153 177 .
Tor A. Johansen & Bjarne A. Foss. 1995. Neural Network Engineering in Dynamic Control Systems. Neural Network Engineering in Dynamic Control Systems 105 126 .
Tom Kavli & Erik Weyer. 1995. Neural Network Engineering in Dynamic Control Systems. Neural Network Engineering in Dynamic Control Systems 83 104 .
Tor A. Johansen & Bjarne A. Foss. (1994) Identification of Non-Linear System Structure and Parameters using Regime Decomposition. IFAC Proceedings Volumes 27:8, pages 131-136.
Crossref
M. Carlin, T. Kavli & B. Lillekjendlie. (1994) A comparison of four methods for non-linear data modelling. Chemometrics and Intelligent Laboratory Systems 23:1, pages 163-177.
Crossref
D.J Mills, M Brown & C.J Harris. (1994) Training neurofuzzy systems. Annual Review in Automatic Programming 19, pages 191-196.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.