Abstract: This study proposes a novel dynamic output-feedback (DOF) switched model predictive control strategy to robustly enhance the control performance of discrete-time Markov jump systems (MJS).
The process of continually tracking equipment and asset health gives operations a foundation for establishing predictive maintenance strategies by enabling early detection of potential issues before ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...
Public experiment log using Get Physics Done (GPD) with Codex to explore predictive control of tokamak plasma turbulence and confinement. A physics-based flight simulator for optimizing airbrake ...
Add Outdoor Life (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. A ...
AI developer Anthropic says its newest Claude artificial intelligence model is so good at finding cybersecurity vulnerabilities that it's not releasable to the public. The company is instead providing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results