Project Leader: M'Sahli Faouzi
Abstract
The research work carried out within the LAS2E laboratory mainly focuses on the development of identification, observation, and control algorithms that are robust to disturbances and/or tolerant to partial faults.
The first research axis concerns intelligent optimization algorithms, such as Genetic Algorithms, Particle Swarm Optimization (PSO), and Cuckoo Search, aiming to identify models with unknown parameters and to build decision-support bases for control and diagnostic purposes.
The second axis focuses on the development of nonlinear observation algorithms designed to implement software sensors capable of estimating the system states in real time. These observers—either adaptive or with unknown inputs—allow the detection, isolation, and estimation of partial faults affecting sensors and actuators.
The third axis is devoted to the synthesis of robust and fault-tolerant control laws for multivariable nonlinear systems. The objective is to ensure system stability and performance in the presence of parametric uncertainties and external disturbances, while considering energy constraints and control signal limitations.
To experimentally validate the developed algorithms, we implement them on appropriate digital platforms. The considered applications include the inverted pendulum, wastewater treatment process, coupled-tank hydraulic system, and robotic systems such as self-balancing robots and quadrotors.
We are also developing a prototype of an intelligent greenhouse, which will serve as a didactic platform for the implementation and validation of our advanced control strategies. In the future, we plan to extend our work to biomedical systems, which represent a promising field for the application of our control and observation algorithms.
Finally, our research activities are strengthened through international collaborations with the Laboratory of Automatic Control of Caen (France) and the Automation Laboratory of the Faculty of Mons (Belgium), fostering doctoral student mobility and enhancing the visibility and impact of our work.