Books

This book presents a modern approach to system identification and adaptive control through the lens of online machine learning. It bridges theory and practice, guiding readers from classical linear control to advanced nonlinear adaptive methods with MATLAB examples. Designed for students, researchers, and engineers, it provides the knowledge and tools to design intelligent control systems for real-world applications.

El autor explica las características y aplicaciones de Matlab 6.5

In this tutorial we focused on the fundamental concepts of MATLAB programming and tried to teach MATLAB programming basics without going into clumsy coding. We paid attention to the simplicity of the programs and tried to teach the basic concepts directly without being lost among long programing lines. 

Cyber physical systems are becoming increasingly complex and networked. As the number of system components increases and their complexity grows, so does the time required for system integration. [...] A large part of the complexity in system integration lies in the interaction of the system components however. As a consequence, traditional integration strategies are becoming increasingly inefficient. The solution to the problem is to prioritize system level integration automation and supplement it with traditional automation (if required).