David Wilson

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Director I2C2, Programme Leader - Engineering Masters Studies

Phone: 921 9999 Extn 8732

Email: diwilson@aut.ac.nz

Physical Address:

School of Engineering, Computer and Mathematical Sciences
WZ Building
34 St Paul Street
Auckland Central
Auckland



Postal Address:

School of Engineering, Computer and Mathematical Sciences
Private Bag 92006
Auckland 1142
Auckland



Biography:

David Wilson is an Associate Professor in Electrical Engineering at Auckland University of Technology. Prior to joining AUT he was on the faculty at Karlstad University in Sweden following a position at the Swiss Federal Institute of Technology (ETH) in Zürich, Switzerland.

His main research interests are modelling, simulation and control of industrial processes. Currently he is a director of the research-based Industrial Information and Control Centre (I2C2) where he manages multi-faceted research projects for international clients such as PETRONAS in Malaysia, and large New Zealand companies such as Transpower and Fonterra. He is also a founding director of Inverse Problem Ltd which is a start-up company developing and marketing small high-performance embedded controllers. This company recently won the inaugural AUT Enterprises Innovation Challenge for 2012.

David originally graduated from the Chemical Engineering department at Auckland, but then following an interest in automatic control, drifted sideways into electrical engineering areas of activity such as developing embedded controllers, and simple robust auto-tuners to be used by people with little or no instrumentation background. David has also worked in the pulp and paper industry in Sweden where he supervised a number of modelling and control projects for Stora-Enso board machines, Kamyr digesters, and CMC production. All of these projects were substantial that delivered both tangible operating benefits, and developed new academic control algorithms. Not all the projects are process industry based. For example closer to home, David has worked on the optimal management of squid fishing with the Ministry of Fisheries, and fresh water ecosystems around pulp mills, and developing models and asset management strategies for electrical distribution.

From a control theoretic viewpoint, David has an interest in robust auto-tuners and model-predictive control. From a practical view, David likes to apply system engineering techniques, to build models that can be used for better control systems, to deliver a better product at less cost.

Research outputs:

Featured research outputs

  • Depree, N., Prince-Pike, A., Young, B., & Wilson, D. (2019). Predictive modelling of instant whole milk powder functional performance across three industrial plants. Journal of Food Engineering, 252, 1-9. doi:10.1016/j.jfoodeng.2019.01.011

  • Munir, T. M., Wilson, D., Yu, W., & Young, B. R. (2018). An evaluation of hyperspectral imaging for characterising milk powders. Journal of Food Engineering, 221(March 2018), 1-10. doi:10.1016/j.jfoodeng.2017.10.001

  • Munir, T., Wilson, D., Depree, N., Boiarkina, I., Prince-Pike, A., & Young, B. R. (2017). Real-time product release and process control challenges in the dairy milk powder industry. Current Opinion in Food Science, 17. doi:10.1016/j.cofs.2017.08.005

  • Rimpilainen, V., Kaipio, J., Depree, N., Young, B., & Wilson, D. I. (2015). Predicting functional properties of milk powder based
    on manufacturing data in an industrial-scale powder
    plant. Journal of Food Engineering, 153. doi:10.1016/j.jfoodeng.2014.12.010

Journal articles

  • Depree, N., Prince-Pike, A., Young, B., & Wilson, D. (2019). Predictive modelling of instant whole milk powder functional performance across three industrial plants. Journal of Food Engineering, 252, 1-9. doi:10.1016/j.jfoodeng.2019.01.011

  • Munir, T. M., Wilson, D., Yu, W., & Young, B. R. (2018). An evaluation of hyperspectral imaging for characterising milk powders. Journal of Food Engineering, 221(March 2018), 1-10. doi:10.1016/j.jfoodeng.2017.10.001

  • Munir, T., Wilson, D., Depree, N., Boiarkina, I., Prince-Pike, A., & Young, B. R. (2017). Real-time product release and process control challenges in the dairy milk powder industry. Current Opinion in Food Science, 17. doi:10.1016/j.cofs.2017.08.005

  • Maclaren, P., Wilson, D., & Klymchuk, S. (2017). Lecturer Use of Pen-enabled Tablet PC Technology in the STEM Classroom:
    Implications for Notetaking. Australiasian Journal of Education technology, 33(2). Retrieved from https://ajet.org.au/index.php/AJET/article/view/3257/1447

  • Maclaren, P., Wilson, D. I., & Klymchuk, S. (2017). Making the point: The place of gesture and annotation in teaching stem subjects using pen-enabled tablet PCs. Teaching Mathematics and its Applications. doi:10.1093/teamat/hrx002

  • Boiarkina, I., Depree, N., Yu, W., Wilson, D., & Young, B. (2017). Fault diagnosis of an industrial plant using a Monte Carlo analysis coupled with systematic troubleshooting. Food Control, 78. doi:10.1016/j.foodcont.2017.02.061

  • Maclaren, P., Wilson, D., & Klymchuk, S. (2017). I see what you are doing: Student views on lecturer use of tablet PCs in the engineering mathematics classroom. Australasian Journal of Educational Technology, 33(2). doi:10.14742/ajet.3257

  • Boiarkina, I., Depree, N., Yu, W., Wilson, D., & Young, B. (2017). Rapid particle size measurements used as a proxy to control instant whole milk powder dispersibility. Dairy Science & Technology, 96(6). doi:10.1007/s13594-016-0302-5

  • Boiarkina, I., Sang, C., Depree, N., Prince-Pike, A., Yu, W., Young, B., & Wilson, D. (2016). The significance of powder breakdown during conveying within industrial milk powder plants. Advanced Powder Technology, 27(6). doi:10.1016/j.apt.2016.10.019

  • Munir, T., Zhang, Y., Yu, W., Wilson, D., & Young, B. R. (2016). Virtual milk for modelling and simulation of dairy processes. Journal of Dairy Science, 99(5). doi:10.3168/jds.2015-10449

  • Prince-Pike, A., Wilson, D., Baroutian, A., Andrews, J., & Gapes, D. (2015). A kinetic model of municipal sludge degradation during non-catalytic wet oxidation. Water Research, 87. doi:10.1016/j.watres.2015.09.009

  • Munir, M. T., Yu, W., Young, B. R., & Wilson, D. I. (2015). The current status of process analytical technologies in the dairy industry. Trends in Food Science and Technology, 43(2). doi:10.1016/j.tifs.2015.02.010

  • Rimpilainen, V., Kaipio, J., Depree, N., Young, B., & Wilson, D. I. (2015). Predicting functional properties of milk powder based
    on manufacturing data in an industrial-scale powder
    plant. Journal of Food Engineering, 153. doi:10.1016/j.jfoodeng.2014.12.010

  • Currie, J., & Wilson, D. I. (2014). The Efficient Modelling of Steam Utility Systems. IPENZ Transactions, 41. Retrieved from http://www.ipenz.org.nz/

  • Currie, J., Prince-Pike, A., & Wilson, D. I. (2014). A cost effective high-speed auto-coded embedded model predictive controller. International Journal of intelligent Systems Technologies and Applications, 13(1/2). Retrieved from http://www.inderscience.com/jhome.php?jcode=IJISTA

  • Wilson, D. I. (2013). Navigating the wilds of industrial optimisation. Australian Journal of Multi-disciplinary Engineering, 9(2). Retrieved from http://search.informit.com.au.ezproxy.aut.ac.nz/

  • Maclaren, P., Singamneni, S., & Wilson, D. I. (2013). Technologies for engineering education. Australian Journal of Multi-disciplinary Engineering, 9(2). Retrieved from http://search.informit.com.au.ezproxy.aut.ac.nz/

  • Yu, W., Wilson, D. I., & Young, B. R. (2012). A comparison of nonlinear control performance assessment techniques for nonlinear processes. Canadian Journal of Chemical Engineering, 90(6).

  • Yu, W., Wilson, D. I., & Young, B. R. (2012). A comparison of nonlinear control performance assessment techniques for nonlinear processes. Canadian Journal of Chemical Engineering, 90. doi:10.1002/cjce.21733

  • Yu, W., Wilson, D. I., & Young, B. R. (2012). Control Performance Assessment in the Presence of Sampling Jitter. Chemical Engineering Research and Design, 90(1). doi:10.1016/j.cherd.2011.06.007

  • Yu, W., Wilson, D. I., & Young, B. R. (2010). Nonlinear control performance assessment in the presence of valve stiction. Journal of Process Control, 20(6). doi:10.1016/j.jprocont.2010.04.004

  • Yu, W., Wilson, D. I., & Young, B. R. (2010). Control performance assessment for nonlinear systems. Journal of Process Control, 20(10). doi:10.1016/j.jprocont.2010.09.002

  • Wilson, D. I. (2008). Without the least vestige of land: The perculiarities of nautical charts. Boating New Zealand.

  • Wilson, D. I. (2008). Have you got the drift?. Boating New Zealand, (September).

  • Wilson, D. I. (2008). Dead Reckoning Resurrected. Boating New Zealand, (March).

  • Wilson, D. I. (2007). Modelling for control: How close is close enough?. Electrical & Automation Technology.

  • Wilson, D. I., & Young, B. R. (2006). The seduction of model predictive control. Electrical and Automation Technology, (Nov/Dec).

  • Wilson, D. I. (2006). The black art of smoothing. Electrical and Automation Technology, (June/July).

  • Dahl, M., Wilson, D. I., & Hakanson, L. (2006). A combined suspended particle and phosphorus water quality model: Application to Lake Vanern. Ecological Modelling, 190.

  • Dahl, M., & Wilson, D. I. (2006). The danger of short-term validation for lake models. International Journal of Modelling and Simulation, 26.

  • Wilson, D. I., & Balderud, J. (2005). Parameters affecting disturbance propagation through the wet end of a paper machine. Appita Journal, 58(1).

  • Wilson, D., & Balderud, J. (2005). Parameters affecting disturbance propagation through the wet end of a paper machine. Appita Journal, 58(1).

  • Dahl, M., & Wilson, D. (2004). Is Lake Vanern well mixed? A statistical procedure for selecting model structure and resolution. Journal of Great Lakes Research, 30(2). Retrieved from http://www.iaglr.org/jglr/journal.php

  • Stigsson, V., Wilson, D. I., & Germgard, U. (2004). Production variance in purified carboxymethyl cellulose (CMC) manufacture. Developments in Chemical Engineering and Mineral Processing, 12.

  • Andersson, N., Wilson, D., & Germgard, U. (2003). Model-based kraft cooking optimisation. Nordic Journal of Pulp and Paper Research, 18(4). Retrieved from http://www.npprj.com/

  • Andersson, N., Wilson, D., & Germgard, U. (2003). An improved kinetic model structure for softwood kraft cooking. Nordic Journal of Pulp and Paper Research, 18(2). Retrieved from http://www.npprj.com/

  • Andersson, N., & Wilson, D. (2003). Measurement uncertainty in NIR analysis of black liquor parameters. Paperi ja Puu (Paper and Timber), 85(7).

Conference contributions

  • Lie, M., Habibb, B., Yu, W., Wilson, D., & Young, B. R. (2018). Dynamic modelling and control of small scale Organic Rankine Cycle systems using VMGSim. In 13th International Symposium of Process Systems Engineering (PSE2018) Vol. 44 (pp. 745-750). San Diego: Elsevier B.V.. doi:10.1016/B978-0-444-64241-7.50119-1

  • Wilson, D., & Abel, N. (2018). Mind the Gap: Ensuring a smooth passage from Matlab to FPGA Code. In Computing for SKA Colloquium 2018: Towards Construction. Auckland: AUT Institute for Radio Astronomy and Space Research. Retrieved from https://irasr.aut.ac.nz/

  • Boiarkina, I., Depree, N., Prince-Pike, A., Yu, W., Wilson, D. I., & Young, B. R. (2018). Using Big Data in Industrial Milk Powder Process Systems. In Computer Aided Chemical Engineering Vol. 44 (pp. 2293-2298). San Diego: Elsevier. doi:10.1016/B978-0-444-64241-7.50377-3

  • Am, V., Currie, J., & Wilson, D. (2018). A Comparison between NLP and MILP Formulations of Organic Rankine Cycle Systems for Optimization. In Proceedings of the 13th International Symposium on Process Systems Engineering Vol. 44 (pp. 991-996). San Diego: Elsevier B.V.. doi:10.1016/B978-0-444-64241-7.50160-9

  • Boiarkina, I., Yu, W., Prince-Pike, A., Depree, N., Wilson, D., & Young, B. (2018). Classification and Regression Modelling for Investigating the effect of Particle Size and Morphology on the Functionality of Industrial Spray Dried Milk Powder. In 8th World Congress on Particle Technology. Orlando: American Institute of Chemical Engineers. Retrieved from https://www.aiche.org/

  • Thomas, J., Currie, J., & Wilson, D. (2017). Loop shaping design procedure for quadrotor control with weights
    designed by resolving a constrained non-linear optimization problem. In Australasian Conference on Robotics and Automation. Sydney. Retrieved from http://www.araa.asn.au/conferences/acra-2017/table-of-contents/

  • Thomas, J., Currie, J., & Wilson, D. (2017). Automatic weight selection for mixed sensitivity optimization control of a quadcopter. In IEEE 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 12-17). Auckland: IEEE. doi:10.1109/M2VIP.2017.8211477

  • Am, V., Currie, J., & Wilson, D. (2017). A Systematic Approach to Modelling Organic Rankine Cycle Systems for Global Optimization. In 6th International Symposium on Advanced Control of Industrial Processes (pp. 487-492). Taipei: IEEE Catalog Number(USB): CFP17ADN-USB. Retrieved from http://adconip2017.org/

  • Griffin, A., Pradel, N., Radford, B., Wilson, D., & Ensor, A. (2017). Precision analysis of the imaging pipeline in the square kilometre array. In 2017 25th European Signal Processing Conference (EUSIPCO) (pp. 2418-2442). Kos: IEEE.

  • Depree, N., Prince-Pike, A., Young, B., & Wilson, D. (2016). Real Time Quality control of IWMP functional performance across three large-scale plants. In IDF Parallel Symposia. .

  • Boiarkina, I., Depree, N., Yu, W., Young, B., & Wilson, D. (2016). Just-in-Time Functionals Using Proxy Measurements: A step towards real-time quality. In International Dairy Federation Parallel Symposia. DoubleTree by Hilton, Burlington Road: http://www.idfingredientsandcheese2016.com/IDF%20Parallel%20Symposia%20Concentration%20and%20Dried%20Milk%20Products-Programme.pdf.

  • Boiarkina, I., Ye, J., Prince-Pike, A., Yu, W., Young, B. R., & Wilson, D. (2016). The morphology of instant whole milk powder from different industrial plants. In Chemical Engineering - Regeneration, Recovery and Reinvention (pp. 945-953). Adelaide: Engineers Australia. Retrieved from https://www5.shocklogic.com/

  • Munir, T. M., Wilson, D., & Young, B. R. (2016). Discrimination of milk powder using hyperspectral data and a multivariable strategy. In Chemical Engineering - Regeneration, recovery and reinvention. Adelaide Australia.

  • Boiarkina, I., Sang, C., Depree, N., Yu, W., Young, B., & Wilson, D. (2015). Significance of powder breakdown during in-plant transport at industrial milk powder plants. In Asian Pacific Confederation of Chemical Engineering (APCChE) (pp. 1-9). Melbourne.

  • Munir, M. T., Depree, N., Young, B. R., & Wilson, D. I. (2015). Hyper-spectral imaging for the discrimination of milk powder. In APCChE 2015 Congress (pp. 1-12). Melbourne. Retrieved from http://www.apcche2015.org/

  • Klymchuk, S., Maclaren, P., & Wilson, D. (2015). Lecturers’ attitudes towards integrating pen-enabled tablet PCs in teaching engineering mathematics.. In Online Proceedings of the 12th International Conference on Technology in Mathematics Teaching (ICTMT12) (pp. 530-532). Faro: University of Algarve. Retrieved from http://hdl.handle.net/10400.1/6081

  • Young, B., Depree, N., Boiarkina, I., Munir, T., & Wilson, D. I. (2015). A structured investigation of real-time prediction of milk powder functional properties. In International Forum Process Analytical Technology (IFPAC) Food Quality, Safety and Analysis. Arlington VA. Retrieved from http://www.ifpac.com/cgi-bin/IFPACProgram2015.pl

  • Munir, T., Yu, W., Wilson, D. I., & Young, B. (2015). Potential of hyperspectral imaging for quality control in milk powders. In International Forum Process Analytical Technology (IFPAC) Food Quality, Safety and Analysis. . Retrieved from http://www.ifpac.com/cgi-bin/IFPACProgram2015.pl

  • Udugama, I., Wilson, D., Munir, T., Young, B., & Yu, W. (2014). What Went Wrong and When? Multivariate Fault Diagnosis of a High Purity Distillation Column. In Chemeca 2014: Processing excellence; Powering our future (pp. 939-947). Perth, Western Australia: Engineers Australia. Retrieved from http://search.informit.com.au/documentSummary;dn=703218151890333;res=IELENG

  • Munir, M. T., Zhang, Y., Wilson, D. I., Yu, W., & Young, B. R. (2014). Modelling of a falling film evaporator for dairy processes. In Chemeca 2014: Processing excellence; Powering our future. Perth: http://www.icheme.org/chemeca2014/program/papers.aspx. Retrieved from http://search.informit.com.au/documentSummary;dn=789768302919011;res=IELENG

  • Rimpilainen, V., Boiarkina, I., Depree, N., Yu, W., & Wilson, D. I. (2014). Who's to blame? Relating input disturbances to output variations in Milk Powder Fortification. In 28th International Forum Process Analytical Technology (IFPAC). Arlington, VA (Washinton DC). Retrieved from http://www.ifpacpat.org/

  • Depree, N., Boiarkina, I., Rimpilainen, V., Prince-Pike, A., Young, B., & Wilson, D. I. (2014). Process Analytical Technology Application for Real Time Quality Monitoring during Milk Powder Production. In 28th International Forum Process Analytical Technology (IFPAC). Arlington, VA (Washington, DC). Retrieved from http://www.ifpacpat.org/

  • Young, B. R., Depree, N., Munir, M. T., & Wilson, D. I. (2013). Can Process Analytical Technology Lead to Real-time Quality Management for Diary Food Products?. In Chemeca 2013. Brisbane.

  • Lim, H., Currie, J., & Wilson, D. I. (2013). Modelling and Optimisation of the Otahuhu B Combined Cycle Gas Turbine Power Station. In Australian and New Zealand Annual Chemical Engineering Conference (pp. 7 pages). Brisbane: Chemical College, Engineers Australia. Retrieved from http://www.conference.net.au/chemeca2013/

  • Maclaren, P., & Wilson, D. I. (2013). Redeveloping a Signature Pedagogy for Engineering: Responding to new spaces and new technologies. In HERDSA 2013: The place of learning and teaching. Auckland. Retrieved from http://conference.herdsa.org.au/2013

  • Hunter, T., Russel, N., Wilson, D. I., Depree, N., Munir, T., & Young, B. (2013). Building a real-time quality programme for dairy. In 27th International Forum Process Analytical Technology, IFPAC-2013. Baltimore, Maryland: IFPAC. Retrieved from http://www.ifpacpat.org/

  • Wilson, D. I., & Maclaren, P. (2013). From Chalk Talk to Tablet Talk: Pedagogies for Control Engineering. In 10th IFAC Symposium on Advances in Control Education (pp. 144-149). Sheffield: International Federation of Automatic Control.

  • Currie, J., & Wilson, D. (2012). Rigorously modelling steam utility systems for mixed integer optimization. In 10th International Power and Energy Conference (IPEC) (pp. 526-531). Ho Chi Minh City.

  • Wilson, D. I. (2012). Navigating the Wilds of Industrial Optimisation. In Proceedings of the 11th Global Congress on Manufacturing and Management (GCMM2012) (pp. 39-46). Auckland. Retrieved from http://www.aut.ac.nz/engineering/gcmm2012

  • Currie, J., Prince-Pike, A., & Wilson, D. I. (2012). Auto-Code Generation for Embedded Model Predictive Controllers. In 19th International Conference in Mechatronics and Machine Vision in Practice (pp. 122-128). Auckland.

  • Wilson, D. I. (2012). Real-World Optimisation using “Industrially Hardened” Software. In Public presentation. .

  • Maclaren, P., Singamneni, S., & Wilson, D. I. (2012). Technologies for Engineering Education.. In Proceedings of the 11th Global Congress on Manufacturing and Management (GCMM2012). Auckland.

  • Munir, M. T., Yu, W., Young, B. R., & Wilson, D. I. (2012). Eco-efficiency and Control Loop Configuration for Recycle Systems. In American Control Conference (pp. 6436-6441). Montreal.

  • Hunter, T. J., Russell, N. T., Wilson, D. I., Young, B. R., Munir, T., & Depree, N. (2012). Developing a Real-Time Quality Programme for Dairy. In Australian and New Zealand Annual Chemical Engineering Conference, Chemeca. Wellington: Engineers Australia.

  • Prince-Pike, A., Wilson, D. I., Ileva, I., Li, A., & Phethean, M. (2012). Maintaining New Zealand’s Electrical Reserve Management Tool. In 10th International Power and Energy Conference (pp. 273-278). Ho Chi Minh City: IEEE.

  • Currie, J., & Wilson, D. I. (2012). The Efficient Modelling of Steam Utility Systems. In Australian and New Zealand Annual Chemical Engineering Conference, Chemeca (pp. 14 pages). Wellington: Engineers Australia.

  • Yu, W., Wilson, D. I., Currie, J., & Young, B. (2012). Maintaining a Consistent Controller Performance. In Australian and New Zealand Annual Chemical Engineering Conference 2012 (pp. 1-9). Wellington: Engineers Australia.

  • Yu, W., Wilson, D. I., & Young, B. R. (2012). Control Performance Assessment for a class of Nonlinear Multivariable Systems. In 22nd European Symposium on Computer Aided Process Engineering. London: Elsevier. Retrieved from http://www.icheme.org/events/events/2011/escape%2022.aspx

  • Yu, W., Wilson, D. I., & Young, B. R. (2012). The robustness of PI and PID controllers in the presence of sampling jitter. In Chemical Process Control VIII (pp. 6 pages). Savannah, Georgia. Retrieved from http://cpcmeeting.org/

  • Wilson, D. I. (2012). Optimising ferry routes. In American Control Conference (pp. 3992-3997). Montreal.

  • Yu, W., Wilson, D. I., & Young, B. R. (2011). A Comparison of Nonlinear Control Performance Assessment Techniques for Hammerstein-Wiener Processes. In 4th International Symposium on Advanced Control of Industrial Processes (pp. 246-251). Hangzhou, Zhejiang. Retrieved from http://ieeexplore.ieee.org.ezproxy.aut.ac.nz/

  • Currie, J., Wilson, D. I., Depree, N., Young, B. R., Azmanai, S., & Karim, L. (2011). Steam utility systems are not business as usual for chemical plant simulators. In AIChE Spring Meeting. Chicago, IL. Retrieved from http://apps.aiche.org/proceedings/Session.aspx?SessionID=15181

  • Currie, J., & Wilson, D. I. (2011). Interpolated Model Predictive Control: Having Your Cake And Eating It Too. In Chemeca 2011 (pp. 6 pages). Sydney, NSW.

  • Yu, W., Wilson, D. I., & Young, B. R. (2010). Control Performance Assessment for Block-oriented Nonlinear Systems. In 8th IEEE International Conference on Control & Automation ICCA 10 (pp. 1151-1156). Xiamen.

  • Yu, W., Wilson, D. I., Harris, T. J., & Young, B. R. (2010). Control Performance Assessment for Hammerstein-Wiener Models. In 9th International Symposium on Dynamics and Control of Process Systems (DYCOPS (pp. 665-670). Leuven.

  • Gulyaev, S., Natusch, T., & Wilson, D. (2010). Characterisation and Calibration of the 12-m Antenna in Warkworth, New Zealand. In Sixth General Meeting of the International VLBI Service. Hobart.

  • Yu, W., Wilson, D. I., Young, B. R., & Harris, T. (2009). Variance Decomposition of Nonlinear Systems. In 7th IEEE International Conference on Control and Automation ICCA'09 (pp. 738-744). Christchurch.

  • Yu, W., Wilson, D. I., & Young, B. R. (2009). Eliminating Valve Stiction Nonlinearities for Control Performance Assessment. In International Symposium on Advanced Control of Chemical Processes ADCHEM (pp. 526-531). Koç University, Istanbul: International Federation of Automatic Control.

  • Currie, J., & Wilson, D. I. (2009). A Model Predictive Control toolbox intended for rapid prototyping. In 16th Electronics New Zealand Conference (ENZCon. Dunedin.

  • Yu, W., Wilson, D. I., & Young, B. R. (2008). Control performance ssessment in the presence of valve stiction Intelligent Systems and Control. In Intelligent Systems and Control (pp. 379-384). Orlando.

  • Wilson, D. I. (2008). Applying data reconciliation and the diagnostic model processor to a paper machine. In 27th IASTED International Conference on Modelling, Identification and Control, MIC 2008 (pp. 376-380). Innsbruch.

  • Cheng, B. C., & Wilson, D. I. (2008). Sustainability Management Systems: A Companion to, or a Superset of, the Quality Management System. In Learn-Share-Grow Conference 2008 (pp. 92-96). Queenstown: The New Zealand Organisation for Quality.

  • Cheng, B. C. M., & Wilson, D. I. (2008). How sustainable is our electricity industry? A robust quantifiable approach. In Creating Values for Sustainable Development: Proceedings of the 2nd International Sustainability Conference. Basel.

  • Wilson, D. I., & Soboil, M. (2006). Optimal control strategies to reduce sea lion bycatch in squid fishing. In 2nd IASTED International Conference on Environmental Modelling and Simulation EMS06 (pp. 25-32). Anaheim.

  • Wilson, D. I. (2006). An embedded robust PID one-button autotuner. In Proceedings of the 25th IASTED International Conference on Modelling, Identification and Control (pp. 454-459). Anaheim.

  • Cheng, B. C. M., & Wilson, D. I. (2006). A total quality management approach to determine an industrial sector's sustainability - a New Zealand electricity industry case study. In 12th Annual International Sustainable Development Research Conference (pp. 25-32). Hong Kong.

  • Cheng, B. C. M., & Wilson, D. I. (2006). A sustainability index for an industrial sector - a New Zealand electricity industry case study. In 12th Annual International Sustainable Development Research Conference Proceedings. Hong Kong.

  • Wilson, D. (2005). Towards intelligence in embedded PID controllers. In Intelligent Systems and Control, ISC 2005, Boston, USA (pp. 25-30). : ACTA Press. Retrieved from http://www.iasted.com/conferences/2005/cambridge/isc.asp?confid=497

  • Haag, C., Hamza, M. H., & Wilson, D. I. (2003). Potential for symbolic-assisted process simulation. In Proceedings of the IASTED Modelling, Identification and Control Conference 2003 (pp. 572-577). : ACTA Press. Retrieved from http://www.actapress.com/proceedings/mic.htm

  • Andersson, N., Hamza, M. H., & Wilson, D. (2003). Orthogonal signal correction inside cross-validation Improves error estimation in PLS models.. In Proceedings of the IASTED Modelling, Identification and Control Conference 2003 (pp. 45-50). : ACTA Press. Retrieved from http://www.actapress.com/proceedings/mic.htm

  • Dahl, M., Hamza, M. H., & Wilson, D. I. (2003). Modelling salt transport in Baltic basins. In Modelling, Identification and Control 2003 (pp. 426-431). : ACTA Press.

Reports

  • Depree, N., Prince-Pike, A., Wilson, D., & Young, B. (2018). Final Report on Modern Regression (2018-ND1). Auckland.

  • Depree, N., Prince-Pike, A., Wilson, D., & Young, B. (2017). Process Signature Analysis: Process Signature Analysis:
    Te Rapa D4, Whareroa P5, Clandeboye CD3
    (2016-ND2). Auckland.

  • Wilson, D., Bunton, J., & Radford, B. (2016). SKA1 CSP Low Correlator and Beamformer
    Sub-element Signal Processing Matlab
    Model (EA-7a)
    (SKA-TEL-CSP-0000061). Manchester, UK: SKA Office.

  • Munir, T., Depree, N., Prince-Pike, A., Yu, W., Wilson, D., & Young, B. (2012). Development of a Real Time Quality Framework (D1) (D1). Confidential report prepared for Fonterra, Te Rapa, New Zealand.

  • van Vliet, B., & Wilson, D. I. (2010). Classifying electricity user profiles: Are we as unique as se think we are?. LeverEdge Ltd & Auckland University of Technology.

Oral presentations

  • Wilson, D. (2017). Modelling the Signal Flow path of the CSP. Retrieved from https://irasr.aut.ac.nz/

  • Wilson, D. (2016). Why Model? The rationale behind a systematic approach for modelling the Central Signal Processor. AUT University, Auckland.

  • Hunter, T., Russel, N., Wilson, D. I., Depree, N., Munir, T., & Young, B. (2013). Building a real-time quality program for diary. 27th International Forum Process Analytical Technology, IFPAC-2013, Baltimore, Maryland, USA. Retrieved from http://www.ifpacpat.org/

  • Wilson, D. I. (2010). Who’s This Guy Laplace and What’s “s” Equal to Anyway? A Painless Exploration of Dynamic Systems.

  • Wilson, D. I. (2007). Matlab on the move: Data acquisition, GPS & mapping applications. Copthorne Plimmer Towers, Wellington.

  • Wilson, D. I. (2007). Modelling and control of board machines. University of Waikato, Hamilton.

  • Wilson, D. I. (2007). Matlab on the move: Data acquisition, GPS & mapping applications. Heritage Hotel, Auckland.

  • Wilson, D. I. (2006). Rapid prototyping made easy - Using objects in MATLAB. Auckland University of Technology, Auckland.

Other outputs

  • Wilson, D. I. (2008). A workshop on Introduction to Matlab, Advanced Matlab & Simulink, and Optimisation with Matlab.

  • Wilson, D. I. (2007). Modern technology and ancient rocks. In Boating New Zealand.

  • Wilson, D. I. (2006). A workshop on Matlab and Simulink for Transpower New Zealand.