Simulation-based approaches for verification of embedded control systems: An overview of traditional and advanced modeling, testing, and verification techniques
Designers of industrial embedded control systems, such as automotive, aerospace, and
medical-device control systems, use verification and testing activities to increase their …
medical-device control systems, use verification and testing activities to increase their …
Safe control with learned certificates: A survey of neural lyapunov, barrier, and contraction methods for robotics and control
Learning-enabled control systems have demonstrated impressive empirical performance on
challenging control problems in robotics, but this performance comes at the cost of reduced …
challenging control problems in robotics, but this performance comes at the cost of reduced …
Neural lyapunov control
We propose new methods for learning control policies and neural network Lyapunov
functions for nonlinear control problems, with provable guarantee of stability. The framework …
functions for nonlinear control problems, with provable guarantee of stability. The framework …
dReach: δ-Reachability Analysis for Hybrid Systems
Abstract dReach is a bounded reachability analysis tool for nonlinear hybrid systems. It
encodes reachability problems of hybrid systems to first-order formulas over real numbers …
encodes reachability problems of hybrid systems to first-order formulas over real numbers …
[HTML][HTML] Review on computational methods for Lyapunov functions
Lyapunov functions are an essential tool in the stability analysis of dynamical systems, both
in theory and applications. They provide sufficient conditions for the stability of equilibria or …
in theory and applications. They provide sufficient conditions for the stability of equilibria or …
Safe control with learned certificates: A survey of neural lyapunov, barrier, and contraction methods
Learning-enabled control systems have demonstrated impressive empirical performance on
challenging control problems in robotics, but this performance comes at the cost of reduced …
challenging control problems in robotics, but this performance comes at the cost of reduced …
Formal synthesis of Lyapunov neural networks
We propose an automatic and formally sound method for synthesising Lyapunov functions
for the asymptotic stability of autonomous non-linear systems. Traditional methods are either …
for the asymptotic stability of autonomous non-linear systems. Traditional methods are either …
Learning certified control using contraction metric
In this paper, we solve the problem of finding a certified control policy that drives a robot from
any given initial state and under any bounded disturbance to the desired reference …
any given initial state and under any bounded disturbance to the desired reference …
FOSSIL: a software tool for the formal synthesis of lyapunov functions and barrier certificates using neural networks
This paper accompanies FOSSIL: a software tool for the synthesis of Lyapunov functions
and of barrier certificates (or functions) for dynamical systems modelled as differential …
and of barrier certificates (or functions) for dynamical systems modelled as differential …
Design automation of cyber-physical systems: Challenges, advances, and opportunities
A cyber-physical system (CPS) is an integration of computation with physical processes
whose behavior is defined by both computational and physical parts of the system. In this …
whose behavior is defined by both computational and physical parts of the system. In this …