Abstract: The book situates itself in a unique niche “between proportional-integral-derivative (PID) and model predictive control (MPC),” as a compromise between the tradeoffs and advantages of each.

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...

R2024b introduces several major updates that streamline the workflows of engineers and researchers working on wireless communications systems, control systems, and digital signal processing ...

Abstract: In this paper, we present Sorotoki, an open-source toolkit in MATLAB that offers a comprehensive suite of tools for the design, modeling, and control of soft robots. The complexity involved ...

This document describes the setup requirements for running the Sensorless FOC with maximum torque per ampere (MTPA) and field weakening algorithms where a Sliding Mode Observer (SMO) is used as the ...

Can You Chip In? We’re celebrating our 1 trillionth archived web page. If you find our library useful, learn how you can help us fundraise! Can You Chip In? We’re celebrating our 1 trillionth archived ...