M. Y. El Ghoumari
Papers
1
Total Citations
14
H-Index
1
About
M. Y. El Ghoumari is a control systems researcher whose work focuses on advanced predictive control strategies for nonlinear systems. His most significant contribution lies in the development of extended linearised predictive control (ELPC) and its modified variant (MELPC), introduced in his highly cited 1999 paper. These algorithms address a fundamental challenge in process control: designing effective controllers for nonlinear plants without the computational burden of fully nonlinear methods. By performing a local linearisation of the process at each sampling instant, ELPC and MELPC achieve superior performance compared to controllers based on a single linearisation around an operating point. This practical, computationally efficient approach has made his work a valuable reference for researchers and engineers working on real-time control of complex industrial processes. With 14 citations on this foundational paper, El Ghoumari's research continues to influence the field of predictive control, offering a bridge between linear control theory and the demands of nonlinear system management.
Research Focus
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Top Papers
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