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

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

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English | June 25, 2026 | ISBN-10: 3031932862 | 647 pages| Epub PDF (True) | 126 MB
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 solutions in detail along with associated python scripts. It helps the reader develop a critical and comparative point of view and thus to distinguish the best choice of solutions, some of which prove to be conventional and others to employ advanced learning-based methods. This book shows how each category applies to specific groups of problems, but the choice is made based on pragmatic assessments of efficiency and efficacy rather than on dogmatic adherence to the benefits of one or the other.