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Professor Jiamei Deng


About Professor Jiamei Deng

Dr Jiamei Deng joined Leeds Beckett as Professor of Artificial Intelligence, Control and Energy as part of the Leeds Sustainability Institute. Her research interests lie in improving efficiency for buildings; renewable energy technologies; safety monitoring for nuclear power plants, the manufacturing industry and transport systems; virtual sensor design; and data analysis.

Selected Publications

Journal articles (6)

  • Wu J; Liao F; Deng J (2016), Optimal Preview Control for a Class of Linear Continuous Stochastic Control Systems in the Infinite Horizon. Mathematical Problems in Engineering, vol. 2016
    https://doi.org/10.1155/2016/7679165
    View Repository Record
  • Liao F; Liao Y; Deng J (2016), The Application of Predictor Feedback in Designing a Preview Controller for Discrete-Time Systems with Input Delay. Mathematical Problems in Engineering, vol. 2016
    https://doi.org/10.1155/2016/3023915
    View Repository Record
  • Chan KY; Ordys A; Duran O; Volvov K; Deng J (2014), Minimizing engine emissions using state-feedback control with LQR and artificial intelligence fuel estimator. International Journal of Innovative Research in Science, Engineering and Technology, vol. 2 (3), p. 1-9.
    View Repository Record
  • Zhao D; Liu C; Stobart R; Deng J; Winward E; Dong G (2013), An explicit model predictive control framework for turbocharged diesel engines. IEEE Transactions on Industrial Electronics, vol. 61 (7), p. 3540-3552.
    https://doi.org/10.1109/TIE.2013.2279353
  • Deng J (2013), Dynamic neural networks with hybrid structures for nonlinear system identification. Engineering Applications of Artificial Intelligence, vol. 26 (1), p. 281-292.
    https://doi.org/10.1016/j.engappai.2012.05.003
  • Deng J; Maass B; Stobart R (2012), Minimum data requirement for neural networks based on power spectral density analysis. IEEE Transactions on Neural Networks and Learning Systems, vol. 23 (4), p. 587-595.
    https://doi.org/10.1109/TNNLS.2012.2183887
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