Michael Grimble

Prof

  • United Kingdom

20002020

Research output per year

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Personal profile

Research Interests

  • Theory and Application of Nonlinear and Robust Control Design Methods for Multivariable Systems.
  • The theory and design of Novel adaptive control and estimation methods.
  • Benchmarking and performance assessment of control systems and related condition monitoring problems.
  • Design of applications in the automotive, aerospace, metal processing, marine process and manufacturing industries.

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Projects

  • Research Output

    Resilient nonlinear control for attacked cyber-physical systems

    Pang, Y., Xia, H. & Grimble, M., 1 Jun 2020, In : IEEE Transactions on Systems, Man, and Cybernetics: Systems. 50, 6, p. 2129-2138 10 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 5 Citations (Scopus)

    Nonlinear Optimal Generalized Predictive Functional Control applied to quasi-LPV model of automotive electronic throttle

    Alotaibi, S. & Grimble, M., 14 Nov 2019, 15th International Conference on Control and Automation (ICCA). Piscataway, NJ: IEEE, p. 1277-1282 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution book

    Open Access
    File
  • 4 Downloads (Pure)

    Thesis

    Nonlinear control : an LPV nonlinear predictive generalised minimum variance perspective

    Author: Savvidis, P., 7 May 2017

    Supervisor: Grimble, M. (Supervisor) & Katebi, M. (Supervisor)

    Student thesis: Doctoral Thesis

    Activities

    • 1 Invited talk

    Benefits and problems arising from the use of advanced control methods in industrial applications

    Michael Grimble (Invited speaker)
    5 Jun 2013

    Activity: Talk or presentation typesInvited talk

    Impacts

    Practical Nonlinear Controllers for Industrial Applications

    Michael Grimble (Participant), M Katebi (Participant)

    Impact: Impact - for External PortalEconomic and commerce, Professional practice, training and standards, Environment and sustainability - natural world and built environment