Petr Listov

Petr Listov is a former researcher at the Swiss Federal Institute of Technology in Lausanne (EPFL), affiliated with the School of Engineering. His work focuses on advanced control systems, particularly Model Predictive Control (MPC) for autonomous systems, robotics, and mechatronics. Listov contributed to developing the PolyMPC software framework, enhancing real-time embedded optimization for applications like rocket control and autonomous driving. His research emphasizes nonlinear control, stochastic systems, and optimization under uncertainty.

Education: Completed a doctoral thesis titled Real-Time Nonlinear Model Predictive Control for Fast Mechatronic Systems under supervision at EPFL.

Research Interests:

• Development of MPC algorithms for high-speed systems
• Applications in autonomous vehicles and robotics
• Stochastic control and uncertainty quantification
• Optimization-based control strategies

Key Contributions: His publications address real-time MPC implementations, thrust vector control for rockets, and stochastic trajectory planning. Experimental validations include indoor/outdoor rocket testing and automotive hardware-in-the-loop systems.

Labs/Teams: Collaborated with the Laboratoire d’Automatique (LA) and contributed to the PolyMPC open-source library.