The University of Sheffield
Automatic Control and Systems Engineering

Dr J A Rossiter: Recent Reports 08-09

  1. A case study in using theory of change and team teaching to evaluate and improve teaching practice in a control engineering department, J.A. Rossiter and L. Gray, Engineering Education: Issues and Concerns, 2007
  2. Using student generated audio to enhance learning J.A. Rossiter,A. Nortcliffe, A. Griffin and A. Middleton, Engineering Education Journal, 2009, accepted
  3. Interpolation methods in MPC: an overview, Y. Ding and J.A. Rossiter, IJC, 2009, to appear
  4. Efficient algorithms for trading off feasibility and performance in predictive control, J. A. Rossiter, L. Wang, G. Valencia-Palomo, IJC, 2009, accepted
  5. Barriers and enablers to implementing mathematics and statistics support, J.A. Rossiter, MSOR Connections, Vol 8, No. 2, pp33-37, 2008
  6. A Youla Parameter Approach to Robust Constrained Linear Model Predictive Control, Q. Cheng, B. Kouvaritakis, M. Cannon, J.A. Rossiter, CDC 2009
  7. A workshop on using audio devices to improve student learning, J.A. Rossiter, A. Nortcliffe,
    A. Middleton, STEM PRM Symposium, Loughborough, 2009
  8. Students using digital audio interventions to enhance their learning experience, A. Nortcliffe, J.A. Rossiter, A. Middleton, HEA annual conference, 2009
  9. Feed forward design in MPC, J.A. Rossiter and G. Valencia-Palomo, ECC, 2009
  10. Peer assessment and games to enhance student learning of frequency response methods, J.A. Rossiter, ECC, 2009
  11. Predictive control implementation in a PLC using the IEC 1131.3 programming standard, G. Valencia-Palomo, K. Hilton and J.A. Rossiter, ECC, 2009
  12. Adaptive steady-state target optimization using iterative modified gradient-based methods in linear non-square MPC, L. Shead, J.A. Rossiter and K. Muske, ACC 2009
  13. Curriculum design for learning in a systems engineering department, J.A. Rossiter and L. Gray, Blended learning conference, 2009
  14. Auto-tuned Predictive Control Based on Minimal Plant Information, G. Valenica Palomo and J.A. Rossiter, ADCHEM 2009
  15. Widening Participation and its Impact: The Mathematical Background of Students from a Vocational Educational Programme, M. Hobson and J.A. Rossiter, CETL-MSOR (Lancaster), 2008
  16. Team approaches to curriculum design and delivery, J.A. Rossiter and L Gray, ALOE, 2008
  17. MPC and tracking of oscillatory targets, L. Wang and J.A. Rossiter, CDC 2008
  18. Exploiting Laguerre functions to improve the feasibility/performance compromise in MPC, J.A. Rossiter}and L Wang, CDC 2008
  19. Sufficient conditions for which MPC converges to the correct target, L. Shead, J.A. Rossiter, K.R. Muske, NMPC 2008 (Pavia, Italy)
  20. The potential of auto-tuned MPC based on minimal plant information, G. Valencia-Palomo and J.A. Rossiter, NMPC 2008 (Pavia, Italy)

Previous Reports 06-07

Previous Reports 05-06

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