Ferguson: This is a big part of what’s driving consolidation within the EDA industry. You see Siemens and Mentor and Altair ...

Here is how to explore real-time controllers and create better robots. Robotics is a resource-intensive field, especially ...

Glucopilot dynamic dosing algorithm was associated with improved glycemic control especially among subgroups with ...

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three ...

Through industry–academia collaboration, a joint research team developed an Integrated Network-Computing Load Balancing ("INCL Balancing") simulator optimized for next-generation 6G services. This is ...

The problems were solved using DIDO©, a MATLAB® toolbox for solving optimal control problems. 1 DIDO implements a guess-free, 2 fast spectral algorithm based on pseudospectral optimal control theory.

Model Predictive Control (MPC) is a widely used optimization-based control strategy for constrained systems. MPC relies on the repeated online solution of an optimal control problem, which determines ...

Breaking down the complexities of control algorithm trade-offs can help your team grasp the concept better. To make it easier: Use everyday analogies: Compare algorithm choices to familiar ...

This paper describes a methodology used to test the vulnerability of control algorithms implemented in an industrial Programmable Logic Controller (PLC) environment to cyber attacks. Three stages of ...

The main contribution of this article is to leverage the superior qualities of the PI (2DoF) algorithm for enhanced performance, stability, and robustness of the WECS under uncertainties. Finally, the ...