The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
High-fidelity simulations with intuitive user interfaces expedite real-world tasks. Augmented Reality (AR), enables 3D computer-generated entities to coexist in users' view o...
Seungjun Kim, Nitaigour-Premchand Mahalik, Anind K...
Abstract— A common approach to designing feedback controllers for nonlinear partial differential equations (PDEs) is to linearize the system about an equilibrium and use the line...
In this paper we present output-feedback controllers solving the global output regulation problem for a class of nonlinear systems. The proposed controllers are based on the notio...
Alexey V. Pavlov, Nathan van de Wouw, Henk Nijmeij...
This paper deals with feedback controller synthesis for timed event graphs in dioids, where the number of initial tokens and time delays are only known to belong to intervals. We ...
Mehdi Lhommeau, Laurent Hardouin, Bertrand Cottenc...