Nonlinear Control of Uncertain Systems: Conventional and Learning-Based Alternatives with Python

This book provides scalable, effective and real-world-compatible methods and algorithms for the control and extended estimation of uncertain nonlinear systems against a backdrop of often-unconventional problems. The author provides advice on choosing which solution is most relevant to the desired control objectives, the nature of present uncertainties and the impact on closed-loop performance.

The book introduces its key paradigms step by step and then presents the family of candidate soluti...