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 ...
Differential equations and systems analysis. Undergraduate controls and/or signal processing course would satisfy this requirement. A graduate-level systems course is also helpful, but not necessary.
Wuhan Zhonghe Shili Automation Technology Co., Ltd. applied for a patent titled "An AI-Optimized Control Method and System for Water-Based Glue Coating" in August 2025, with publication number ...
Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...
Stochastic control problems that arise in reliability and maintenance optimization typically assume that information used for decision-making is obtained according to a predetermined sampling schedule ...
Tech Xplore on MSN
Shape-changing robots: New AI-driven design tool optimizes performance and functionality
Like octopuses squeezing through a tiny sea cave, metatruss robots can adapt to demanding environments by changing their shape. These mighty morphing robots are made of trusses composed of hundreds of ...
Queenique graduated with her bachelor’s and master’s degrees in astronautical engineering from the University of Southern California. Her research interests lie in the applications of optimization and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback