Modeling, Identification and Control at Telemark University College
暂无分享,去创建一个
Finn Haugen | Bernt Lie | Saba Mylvaganam | Dietmar Winkler | Maths Halstensen | Bjørn Glemmestad | Rolf Ergon | David Di Ruscio | Nils-Olav Skeie
[1] Saba Mylvaganam,et al. Calculation of Cable Parameters for Different Cable Shapes , 2008 .
[2] David Di Ruscio. Subspace system identification of the Kalman filter gain , 2001, ECC.
[3] Qian Chai,et al. Modeling, estimation, and control of biological wastewater treatment plants , 2008 .
[4] Ricardo Dunia,et al. A complete programming framework for process control education , 2008, 2008 IEEE International Conference on Control Applications.
[5] Kim H. Esbensen,et al. New developments in acoustic chemometric prediction of particle size distribution—‘the problem is the solution’ , 2000 .
[6] Kim H. Esbensen,et al. ACOUSTIC CHEMOMETRICS-FROM NOISE TO INFORMATION , 1998 .
[7] Kim H. Esbensen,et al. Acoustic chemometric monitoring of an industrial granulation production process : a PAT feasibility study , 2006 .
[8] Saba Mylvaganam,et al. Bottomhole Pressure Control During Drilling Operations in Gas-Dominant Wells , 2007 .
[9] Kim H. Esbensen,et al. Acoustic Monitoring of Pneumatic Transport Lines: From Noise to Information , 1998 .
[10] M. Hestenes,et al. Methods of conjugate gradients for solving linear systems , 1952 .
[11] Bernt Lie,et al. Inventory control of particulate processes , 2008, Comput. Chem. Eng..
[12] Beathe Furenes,et al. Model based control of solidification , 2005 .
[13] Max Donath,et al. American Control Conference , 1993 .
[14] D. Di Ruscio,et al. Dynamic system calibration by system identification methods , 1997, 1997 European Control Conference (ECC).
[15] Gerhard Nygaard,et al. Nonlinear model predictive control scheme for stabilizing annulus pressure during oil well drilling , 2006 .
[16] Saba Mylvaganam,et al. Multi sensor data fusion with flange mounted acoustic emission sensors in the monitoring of fluidised beds , 2002, 2002 IEEE Ultrasonics Symposium, 2002. Proceedings..
[17] Rolf Ergon,et al. Dynamic system multivariate calibration for optimal primary output estimation , 1999 .
[18] R. Ergon. Noise Handling Capabilities of Multivariate Calibration Methods , 2002 .
[19] Bernt Lie,et al. Model uncertainty and control consequences: a paper machine study , 2009 .
[20] Saba Mylvaganam,et al. Bottomhole Pressure Control During Pipe Connection in Gas-Dominant Wells , 2004 .
[21] Bernt Lie,et al. Application and roll-out of infinite horizon MPC employing a nonlinear mechanistic model to paper machines , 2005 .
[22] Jun Huang. Development in Applied Chemometrics: AMT, acoustic chemometrics and N-way image analysis , 2001 .
[23] D. Winkler,et al. Simulation of electric drives using freeFOClib , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.
[24] Nils-Olav Skeie. Soft Sensors for Level Estimation , 2008 .
[25] M. Otter,et al. Modelica - A Unified Object-Oriented Language for Physical Systems Modeling - Language Specification , 2000 .
[26] Rolf Ergon,et al. Dynamic system multivariate calibration based on multirate sampling data , 2001 .
[27] H. Zeiger,et al. Approximate linear realizations of given dimension via Ho's algorithm , 1974 .
[28] Rolf Ergon,et al. Finding Y‐relevant part of X by use of PCR and PLSR model reduction methods , 2007 .
[29] Rolf Ergon. PLS post‐processing by similarity transformation (PLS + ST): a simple alternative to OPLS , 2005 .
[30] Rolf Ergon,et al. Informative PLS score-loading plots for process understanding and monitoring , 2005 .
[31] B. Lie,et al. A comparison of implementation strategies for MPC , 2005 .
[32] Tor Anders Hauge,et al. Roll-out of model based control with application to paper machines , 2003 .
[33] Bernt Lie,et al. Validation of a compartmental population balance model of an industrial leaching process: The Silgrain® process , 2006 .
[34] Saba Mylvaganam. Some Applications of Acoustic Emission in Particle Science and Technology , 2003 .
[35] Gene H. Golub,et al. Matrix computations , 1983 .
[36] B. Lie. Attainable Performance in LQG Control , 1995 .
[37] David Di Ruscio. Subspace System Identification of the Kalman Filter , 2003 .
[38] Rolf Ergon,et al. On primary output estimation by use of secondary measurements as input signals in system identification , 1999, IEEE Trans. Autom. Control..
[39] Saba Mylvaganam,et al. Comparison of Different Measurement Protocols in Electrical Capacitance Tomography Using Simulations , 2007, IEEE Transactions on Instrumentation and Measurement.
[40] Randy J. Pell,et al. The model space in partial least squares regression , 2007 .
[41] Systematic Analysis of Parameter Identifiability for Improved Fitting of a Biological Wastewater Model to Experimental Data , 2006 .
[42] Tormod Næs,et al. Multivariate calibration. I. Concepts and distinctions , 1984 .
[43] Saba Mylvaganam,et al. Underbalanced Drilling: Improving Pipe Connection Procedures Using Automatic Control , 2004 .
[44] S. Mylvaganam,et al. Electrical Capacitance Tomography—Sensor Models, Design, Simulations, and Experimental Verification , 2006, IEEE Sensors Journal.
[45] Rolf Ergon,et al. Informative score-loading-contribution plots for multi-response process monitoring , 2009 .
[46] Qian Chai,et al. Predictive control of an intermittently aerated activated sludge process , 2008, 2008 American Control Conference.
[47] Tomasz Dyakowski,et al. Estimation of particulate velocity components in pneumatic transport using pixel based correlation with dual plane ECT , 2007 .
[48] Marta Dueñas Diéz. Population balance modeling and passivity-based control of particulate processes, applied to the Silgrain® process , 2004 .
[49] M. Lundhaug. Sea Ice Studies in the Northern Sea Route by use of Synthetic Aperture Radar , 2000 .
[50] Rolf Ergon,et al. Informative PLS score-loading plots for process understanding , 2004 .
[51] Β. L. HO,et al. Editorial: Effective construction of linear state-variable models from input/output functions , 1966 .
[52] B. Lie,et al. Reduction of PVC Batch Time by Optimal Control of Free Radical Concentration , 1998 .
[53] Rolf Ergon,et al. PLS score–loading correspondence and a bi‐orthogonal factorization , 2002 .
[54] Thorbjørn Tønnesen Lied. Multivariate Image Regression (MIR) for Quantitative Predictions. Prototype Software Implementation and Selected Industrial-Technological Pilot Studies , 2001 .
[55] Lennart Ljung,et al. Closed-Loop Subspace Identification with Innovation Estimation , 2003 .
[56] David Di Ruscio,et al. A weighted view on the partial least-squares algorithm , 2000, Autom..
[57] Genshiro Kitagawa,et al. State Space Modeling of Time Series , 1994 .
[58] S. Mylvaganam,et al. Evaluating nonlinear Kalman filters for parameter estimation in reservoirs during petroleum well drilling , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.
[59] S. Wold,et al. Orthogonal projections to latent structures (O‐PLS) , 2002 .
[60] Rolf Ergon,et al. Re‐interpretation of NIPALS results solves PLSR inconsistency problem , 2009 .
[61] Erik Dahlquist. Use of process simulation in pulp and paper industry , 2008 .
[62] Arjan van der Schaft,et al. Conservation Laws and Lumped System Dynamics , 2009 .
[63] Bernt Lie,et al. MODELING OF AN INDUSTRIAL COPPER LEACHING AND ELECTROWINNING PROCESS, WITH VALIDATION AGAINST EXPERIMENTAL DATA , 2008 .
[64] H. Yahoui,et al. Modelling and characterisation of hysteresis phenomena in three phase power systems for diagnostic purposes , 2009, 2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives.
[65] Olav Gerhard Haukenes Nygaard,et al. Multivariable process control in high temperature and high pressure environment using non-intrusive multi sensor data fusion , 2006 .
[66] Claudio Garcia,et al. Multivariable identification of an activated sludge process with subspace-based algorithms , 2001 .
[67] Kenneth Sundberg,et al. Acoustic chemometrics for fluid flow quantifications—II: a small constriction will go a long way , 1999 .
[68] David Di Ruscio. Methods for The Identification of State Space Models from Input and Output Measurements , 1994 .
[69] Compression into two‐component PLS factorizations , 2003 .
[70] Rolf Ergon,et al. Reduced PCR/PLSR models by subspace projections , 2006 .
[71] Bjørn Glemmestad,et al. OPTIMAL OPERATION OF INTEGRATED PROCESSES Studies on Heat Recovery Systems , 1997 .
[72] Allen-Bradley,et al. Model-Based Control , 2017, Encyclopedia of Machine Learning and Data Mining.
[73] D. D. Ruscio. Combined deterministic and stochastic system identification and realization : DSR : a subspace approach based on observations , 1996 .
[74] Rolf Johan Lorentzen,et al. Reservoir Characterization during Underbalanced Drilling: Methodology, Accuracy, and Necessary Data , 2002 .
[75] Lennart Ljung,et al. A novel subspace identification approach with enforced causal models , 2005, Autom..
[76] Bernt Lie,et al. Using multi sensor data fusion for level estimation in a separator , 2006 .
[77] Gene H. Golub,et al. Calculating the singular values and pseudo-inverse of a matrix , 2007, Milestones in Matrix Computation.