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Know the unknowns: Addressing disturbances and uncertainties in autonomous systems
Verification and design of robust and safe neural network-enabled autonomous systems
Neural networks are being applied to a wide range of tasks in autonomous systems, such as
perception, prediction, planning, control, and general decision making. While they may …
perception, prediction, planning, control, and general decision making. While they may …
Improving Dependability of Distributed Real-Time Applications via Safety and Security Co-Design
With the increasing deployment in mission-critical domains, it is of foremost importance to
improve dependability of distributed real-time applications for cyber–physical systems …
improve dependability of distributed real-time applications for cyber–physical systems …
Revisiting Dynamic Scheduling of Control Tasks: A Performance-Aware Fine-Grained Approach
Modern cyber-physical systems (CPSs) employ an increasingly large number of software
control loops to enhance their autonomous capabilities. Such large task sets and their …
control loops to enhance their autonomous capabilities. Such large task sets and their …