Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.
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Hayes, Catherine, Cox, Chris, Parkin, Lindsay, Scott-Thomas, Jeanette and Graham, Yitka (2020) Heart Failure in Practice - Enhancing Knowledge for Nursing and Residential Healthcare. Nursing and Residential Care, 22 (4). pp. 2-8. ISSN 1465-9301
Belai, Igor, Huba, Mikulas, Burn, Kevin and Cox, Chris (2019) PID and filtered PID control design with application to a positional servo drive. Kybernetika, 55 (3). pp. 540-560. ISSN 1805-949X
Burn, Kevin and Cox, Chris (2018) A hands-on approach to teaching system identification using first order plus dead time (FOPDT) modelling of step response data. International Journal of Electrical Engineering and Education. ISSN 0020-7209
Cox, Chris, Tindle, John and Burn, Kevin (2016) A comparison of software-based approaches to identifying FOPDT and SOPDT model parameters from process step response data. Applied Mathematical Modelling, 1 (1). pp. 100-114. ISSN 0307-904X
Burn, Kevin, Maerte, Loic and Cox, Chris (2010) A MATLAB toolbox for teaching modern system identification methods for industrial process control. International Journal of Mechanical Engineering Education, 38 (4). pp. 352-364. ISSN 0306-4190
Rengaraj, Chandrasekaran, Adgar, Adam, Cox, Chris and Crolla, Dave (2007) Integration of Brake Based Vehicle Stability Control and Active Suspension for Improved Handling. In: Proceedings of 11th European Automotive Congress, EAEC 2007.
Rengaraj, Chandrasekaran, Adgar, Adam, Cox, Chris and Crolla, Dave (2006) Integration of Yaw Control, Active Suspension and Anti-lock Brake System to Improve Ride and Handling. In: FISITA 2006, WORLD AUTOMOTIVE CONGRESS.
Rengaraj, Chandrasekaran, Adgar, Adam, Cox, Chris and Crolla, Dave (2006) Cosimulation of parameter based vehicle dynamics and an ABS control system. In: Proceedings of the Eighteenth International Conference on Systems Engineering (ICSE2006).
Adgar, Adam, Cox, Chris and Jones, Chris (2005) Enhancement of Coagulation Control using the Streaming Current Detector. Bioprocess and Biosystems Engineering, 27 (5). pp. 349-357. ISSN 16157591
Cox, Chris, Adgar, Adam and Jones, Chris (2005) Process and Sensor Fault Detection: Useful Strategies for the Water Industry. International Journal of COMADEM, 7 (4). pp. 20-28. ISSN 13637681
Cox, Chris and Schwarz, Michael (2004) An on-line evolutionary tuning method for a generalised predictive controller structure. In: Proceedings of the UKACC International Conference,.
Fletcher, Ian, Arden, William and Cox, Chris (2004) A Benchmark for ABS control algorithm evaluation,. In: Japanese Society of Automotive Engineers Annual Congress 2004, JSAE 2004.
Cox, Chris and Schwarz, Michael (2004) An Iterative Learning Control Method for a Level Control Problem. In: Applications and Science in Soft Computing. Springer Verlag, pp. 295-300. ISBN 3540408568
Fletcher, Ian, Arden, William and Cox, Chris (2003) Automatic Braking System Control. In: International Symposium on Intelligent Control.
MacIntyre, John, Cox, Chris, Emmanouilidis, Christos and Hunter, Andrew (2001) A multi-objective genetic algorithm approach to feature selection in neural and fuzzy modeling. Journal of Evolutionary Optimization, 3. pp. 1-26.
Fletcher, Ian, Adgar, Adam and Cox, Chris (2001) ANN-based Sensing and Control Developments in the Water Industry - A Decade of Innovation. In: IEEE Int. Conference CCA/ISIC 2001.
Cox, Chris, Chen, Huixin and Maciejowski, Jan (2001) Unbiased Bilinear Subspace System Identification Methods. In: European Control Conference.
Adgar, Adam, Cox, Chris, Schwarz, Michael and Moat, Kevin (2001) Classical, fuzzy and genetic algorithm tuning methods for PID controllers: A comparison study using an industrial flow loop. Journal A, 42 (3). pp. 39-44. ISSN 07711107
Adgar, Adam, Cox, Chris, Emmanouilidis, Christos, MacIntyre, John, Mattison, peter, McGarry, Kenneth, Oatley, Giles and Taylor, Odin (1998) The application of adaptive systems in condition monitoring. International Journal of Condition Monitoring and Engineering Management, 1. pp. 13-17.