Javier Serrano
Papers
1
Total Citations
14
H-Index
1
About
Javier Serrano is a control systems researcher whose work focuses on bridging the gap between linear control theory and the complexities of real-world nonlinear systems. His key contributions center on predictive control, particularly through his development of the Extended Linearised Predictive Control (ELPC) and its modified variant, MELPC. These algorithms, introduced in his highly regarded 1999 paper (which has garnered 14 citations), offer a practical and computationally efficient approach by performing a local linearisation of the nonlinear process at each sampling instant. This innovation allows for superior performance compared to traditional controllers that rely on a single, fixed linearisation around an operating point. Serrano’s work is notable for providing accessible, implementable solutions that maintain the robustness of linear predictive control while effectively handling nonlinear dynamics. His research has been influential in advancing the practical application of model predictive control in industrial settings, making complex control strategies more viable for engineers working with challenging, nonlinear processes.
Research Focus
Key Achievements
Top Papers
- 1