For each AI system making operational decisions in your organization, what does it know about the world outside your own data ...
Free webinar examines how AI and machine learning are transforming precision motion control across multiple industries.
A real-world smart office study shows how neural network lighting control can reduce energy use and support adaptive building ...
A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...
Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...
Noteefy has acquired Metolius Golf in a pairing that combines Noteefy's demand optimization tools with Metolius' intelligence ...
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
Abstract: This article presents a deep learning-based model predictive control (MPC) algorithm for control affine nonlinear discrete-time systems with matched and bounded state-dependent uncertainties ...
The TensorDL-MPC toolbox is a Python-based software developed using the TensorFlow framework. It leverages deep learning techniques to enhance the performance of traditional Model Predictive Control ...
Abstract: This article proposes a continuous-control-set model-predictive control (CCS-MPC) designed explicitly for second-order dc/dc converters, such as the boost, buck, buck–boost, and noninverting ...
This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results