Publications in Scientific Journals:

F. Shmarov, S. Soudjani, N. Paoletti, E. Bartocci, S. Lin, S. Smolka, P. Zuliani:
"Automated Synthesis of Safe Digital Controllers for Sampled-Data Stochastic Nonlinear Systems";
IEEE Access, 8 (2020), 8; 180825 - 180843.

English abstract:
We present a new method for the automated synthesis of digital controllers with formal safety guarantees for systems with nonlinear dynamics, noisy output measurements, and stochastic disturbances. Our method derives digital controllers such that the corresponding closed-loop system, modeled as a sampled-data stochastic control system, satisfies a safety specification with probability above a given threshold. Our technique uses a fast solver and an optimization method to search for candidate controllers, which are then formally evaluated in closed-loop with the system in question by a verified solver. Unstable candidate controllers are discarded by efficiently checking a sufficient condition for Lyapunov stability of sampled-data nonlinear systems. We evaluate our technique on three case studies: an artificial pancreas model, a powertrain control model, and a quadruple-tank process.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.