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Mario Zanon
Also published under:Marion Zanon, M. Zanon
Affiliation
IMT School for Advanced Studies Lucca, Lucca, Italy
Topic
Model Predictive Control,Constraint Satisfaction,Model Predictive Control Problem,Prediction Horizon,Asymptotically Stable,Autonomous Vehicles,Linear System,Optimization Problem,Set Of Systems,Sufficient Conditions,Closed-loop Performance,Computation Of Sets,Cost Function,Decentralized Control,Discrete-time,Functional Support,Input Constraints,Linear Quadratic Regulator,Linear Time-invariant Systems,Model Predictive Control Framework,Model Predictive Control Strategy,Networked Control Systems,Nonlinear Model Predictive Control,Nonlinear Programming,Nonlinear Systems,Numerical Examples,Optimal Control Problem,Outer Approximation,Polytope,Reachable Set,Reference Trajectory,Safe Set,Safety Guarantees,Sampling Time,Sequential Quadratic Programming,State Constraints,Terminal Constraint,Terminal Cost,Termination Condition,Action-value Function,Active Constraints,Actuator Design,Actuator Saturation,Additive Disturbances,Admissible Set,Aggressive Behavior,Anticipatory Action,Approximate Optimization,Block Diagonal,Blue Box,
Biography
Mario Zanon (Member, IEEE) received the master’s degree in mechatronics from the University of Trento, and the Diplôme d’Ingénieur from the Ecole Centrale Paris, in 2010. After research stays at the KU Leuven, University of Bayreuth, Chalmers University, and the University of Freiburg, he received the Ph.D. degree in electrical engineering from the KU Leuven, in November 2015. He was a Postdoctoral Researcher with Chalmers University, in 2017. He is currently an Assistant Professor with the IMT School for Advanced Studies Lucca. His research interests include numerical methods for optimization, economic MPC, and optimal control and estimation of nonlinear dynamic systems, in particular for aerospace and automotive applications.