Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...
Data-driven control represents a paradigm shift in the design and implementation of controllers for both linear and nonlinear systems. Eschewing traditional reliance on first‐principles models, this ...
AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.
Quick diagnostic sprints deliver measurable results in weeks, not years, helping manufacturers prove AI value before ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Interesting Engineering on MSN
EVs get smarter: Physical AI helps autonomous cars detect loss of control in real time
The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
Atal Bansal is the Founder and CEO at Chetu, a global U.S.-based custom software solutions and support services provider. For centuries, quality control inspection has been time-consuming and ...
Advanced packaging is transforming semiconductor manufacturing into a multi-dimensional challenge, blending 2D front-end wafer fabrication with 2.5D/3D assemblies, high-frequency device ...
Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen ...
There is now broad consensus that data-driven decision-making is essential to success in today’s highly competitive manufacturing environment. Customers’ price-consciousness, combined with demands for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results