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 ...
Model-based systems engineering is quietly, but consistently, becoming an important part of the design, maintenance, and cybersecurity of the federal government’s most complex IT platforms. MBSE ...
Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers at the University of California ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
In the modelic control paradigm, the first step is to establish a dynamic model through system identification. This model offers a continuous but inaccurate description of state transition information ...
Most industrial engineers are familiar and comfortable knowing that a local, hardened, industrial grade PLC is controlling their process. That’s why control via cloud-based algorithms is, to say the ...
Daniel Herrington was working for the U.S. Department of Energy’s Advanced Research Projects Agency–Energy (ARPA–E) when he realized the importance of manufacturing. “Manufacturing underpins most ...
ISA-95, also known as ANSI/ISA-95 or IEC 62264, is an international set of standards aimed at integrating logistics systems with manufacturing control systems. It organizes technology and business ...
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