One of the biggest boosts for innovation in engineering has been the ongoing improvement
of digital processor technology. Connections between physical systems and computing …

We introduce SCOTS a software tool for the automatic controller synthesis for nonlinear
control systems based on symbolic models, also known as discrete abstractions. The tool …

A method for approximate model checking of stochastic hybrid systems with provable
approximation guarantees is proposed. We focus on the probabilistic invariance problem for …

We present a dynamic programming based solution to a probabilistic reach-avoid problem
for a controlled discrete time stochastic hybrid system. We address two distinct …

Symbolic approaches for control design construct finite-state abstract models that are related
to the original systems, then use techniques from finite-state synthesis to compute controllers …

FAUST ^\mathsf2 is a software tool that generates formal abstractions of (possibly non-
deterministic) discrete-time Markov processes (dtMP) defined over uncountable (continuous) …

Stochastic switched systems are a relevant class of stochastic hybrid systems with
probabilistic evolution over a continuous domain and control-dependent discrete dynamics …

Real-world autonomous systems often employ probabilistic predictive models of human
behavior during planning to reason about their future motion. Since accurately modeling …

We address the problem of synthesizing provably correct controllers for linear systems with
reach-avoid specifications. Our solution uses a combination of an open-loop controller and a …

This work deals with Markov processes that are defined over an uncountable state space
(possibly hybrid) and embedding non-determinism in the shape of a control structure. The …