A 2 year postdoctoral position is open at TRIPOP team.
Interested candidates must hold a PhD in control theory, applied mathematics, or a closely related field.
Candidates are required to have a solid mathematical background, with knowledge of dynamical systems and proficiency in standard linear and nonlinear control methodologies (e.g., Lyapunov methods, sliding mode control). Programming skills in Python (or C++), are highly desirable and knowledge on convex optimization algortihms would be advantageous.
Excellent proficiency in English, including strong academic writing skills, is also required.
Post description:
The selected candidate will be responsible for developing controllers for finite-dimensional dynamical systems, employing set-valued sliding-mode state observers and/or differentiators implemented in discrete time. Additionally, the candidate will perform the associated theoretical analyses of the resulting closed-loop.
The primary challenge involves investigating how discretization affects the closed-loop behavior, specifically concerning stability and robustness properties. This will include analyzing which components of the closed-loop system (observer and/or controller) are best suited for discretization methods such as backward Euler or semi-implicit methods.
Another objective is the development of a software package designed for the simulation and real-time computation of set-valued controllers and observers/differentiators using specific discretization techniques (e.g., backward Euler, semi-implicit methods). This task requires developing appropriate numerical solvers suitable for practitioners who may not have extensive knowledge of the underlying theoretical concepts.
