• United Kingdom

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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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Controllers Engineering & Materials Science
Benchmarking Engineering & Materials Science
Minimum Variance Mathematics
Multivariable systems Engineering & Materials Science
Tuning Engineering & Materials Science
Nonlinear systems Engineering & Materials Science
Cost functions Engineering & Materials Science
Generalized Variance Mathematics

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Projects 2004 2018

Industrial applications
Networked control systems
Distributed parameter control systems

Research Output 2000 2018

Open Access
Nonlinear systems

Restricted structure predictive control for linear and nonlinear systems

Grimble, M. J. & Majecki, P., 5 Oct 2018, In : International Journal of Control. p. 1-25 25 p.

Research output: Contribution to journalArticle

Linear systems
Nonlinear systems
Multivariable systems
Robustness (control systems)


Nonlinear control : an LPV nonlinear predictive generalised minimum variance perspective

Author: Savvidis, P., 1 Oct 2011

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

Student thesis: Doctoral Thesis

Activities 2013 2013

  • 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


Practical Nonlinear Controllers for Industrial Applications

Michael Grimble (Participant), Reza Katebi (Participant)

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