{"product_id":"nonlinear-control-of-uncertain-systems-conventional-and-learning-based-alternatives-with-python-9783031932861","title":"Nonlinear Control of Uncertain Systems: Conventional and Learning-Based Alternatives with Python","description":"\u003cp\u003e • Author(s): Mazen Alamir\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Electrical\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003ePart I: Definitions, Notation, Concepts and Tools.- What is this Book About?.- Definitions, Notation and Main Concepts.- Quick Python Reminders and Key Modules.- Part II: Methodologies and Algorithms.- Handling Uncertainties via Standard Methods.- Solving Deterministic Model Predictive Control Problems.- A Framework and a Python-Package for Real-Time Nonlinear Model Predictive Control Parameters Settings.- Designing an Uncertainty-Aware Dynamic Output Feedback via Deterministic Optimal Control Solutions.- Nonlinear Moving Horizon Extended Observers.- Further Advanced Topics.- Control of Automotive Automated Manual Transmission.- Power Management in an EV-Charging Station.- Feedback Law with Probabilistic Certification for Propofol-Based Control of BIS During Anesthesia.- Learning Optimal Energy Management in Hybrid Vehicles.- Q-Learning Solution to the Combined Therapy of Cancer.- Decentralized Frequency Control in Micro-grids.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":47890483642519,"sku":"9783031932861","price":22600.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783031932861.webp?v=1781180207","url":"https:\/\/atlanticbooks.com\/products\/nonlinear-control-of-uncertain-systems-conventional-and-learning-based-alternatives-with-python-9783031932861","provider":"Atlantic Books","version":"1.0","type":"link"}