Dynamic optimization and optimal control problems form the backbone of numerous applications in engineering, economics and the natural sciences. These methodologies involve determining a time-varying ...
More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems.
ADAPTIVE CONTROL SYSTEMS have been in use since the early 1960s, but in the last few years, faster microprocessors and lower cost computer memory have dramatically increased the benefits that come ...
A DC-DC Converter with fixed compensation parameters cannot perform well if load dynamics vary widely. A better approach is adaptive control, which can handle a broad range of parameter variations ...
The most recent class of control techniques to be used are collectively referred to as adaptive control. Although the basic algorithms have been known for decades, they have not been applied in many ...
Hosted on MSN
AI-enabled control system helps autonomous drones stay on target in uncertain environments
An autonomous drone carrying water to help extinguish a wildfire in the Sierra Nevada might encounter swirling Santa Ana winds that threaten to push it off course. Rapidly adapting to these unknown ...
What Is Adaptive Cruise Control? Adaptive cruise control (ACC) is a system designed to help vehicles maintain a safe following distance and stay within the speed limit. This system adjusts a car's ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results