Nonlinear Control of Uncertain Systems
portes grátis
Nonlinear Control of Uncertain Systems
Conventional and Learning-Based Alternatives with Python
Alamir, Mazen
Springer International Publishing AG
04/2026
625
Dura
Inglês
9783031932861
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Part 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Nonlinear Control Design;Nonlinear Model Predictive Control;Learning for Control;Machine Learning in Control;Data-driven Control Design;Stochastic Model Predictive Control;Applications of Nonlinear Control;Parametric Uncertainty;Uncertain Nonlinear Systems;Optimization-Based Control Design;Python Scripts for Nonlinear Control;Uncertainty-aware Control Design;Probabilistic Certification;Certification of Performance under Uncertainties
Part 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Nonlinear Control Design;Nonlinear Model Predictive Control;Learning for Control;Machine Learning in Control;Data-driven Control Design;Stochastic Model Predictive Control;Applications of Nonlinear Control;Parametric Uncertainty;Uncertain Nonlinear Systems;Optimization-Based Control Design;Python Scripts for Nonlinear Control;Uncertainty-aware Control Design;Probabilistic Certification;Certification of Performance under Uncertainties
