Patent ID: 11886782
Assignee: ROBERT BOSCH GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. A non-transitory computer-readable medium on which is stored model data defining a machine learnable dynamics model which includes a machine learnable Lyapunov function, wherein the dynamics model is learned to infer a future state of the physical system and/or its environment based on a current state, wherein the learning of the dynamics model has been constrained to provide a globally stable modelling of dynamics of the physical system by the dynamics model and the Lyapunov function having been jointly learned so that values of the learned Lyapunov function decrease along all trajectories of states inferred by the learned dynamics model, wherein the machine learnable Lyapunov function is represented at least in part by an input-convex neural network.