This repository contains the Jupyter Notebooks behind my O'Reilly report, A Whirlwind Tour of Python (free 100-page pdf). A Whirlwind Tour of Python is a fast-paced introduction to essential ...

Abstract: In this technical note, an adaptive model predictive control (MPC) is proposed for unconstrained discrete-time linear systems with parametric uncertainties. The control objective is ...

Abstract: In this technical note, an adaptive model-predictive control (MPC) is proposed for a class of discrete-time linear systems with constant parametric uncertainties and control constraint. The ...

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...