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Produktbild: Physics-Generated AIs of Robust Nonlinear Filter and Control Designs for Complicated Man-Made Machines

Physics-Generated AIs of Robust Nonlinear Filter and Control Designs for Complicated Man-Made Machines

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Beschreibung

This book introduces a robust H¿ physical generative AI-driven filter and controller, along with a nonlinear Luenberger observer model and a state estimation error dynamic model, to effectively address HJIEs for robust H¿ state estimation (filtering) and reference trajectory tracking control in nonlinear...

Beschreibung

This book introduces a robust H¿ physical generative AI-driven filter and controller, along with a nonlinear Luenberger observer model and a state estimation error dynamic model, to effectively address HJIEs for robust H¿ state estimation (filtering) and reference trajectory tracking control in nonlinear stochastic systems.

Produktdetails

Einband

Gebundene Ausgabe
Erscheinungsdatum

18.03.2026
Abbildungen

schwarz-weiss Illustrationen, farbige Illustrationen, Zeichnungen, schwarz-weiss, Zeichnungen, farbig, Tabellen, schwarz-weiss
Verlag Taylor and Francis

Produktdetails

Einband

Gebundene Ausgabe
Erscheinungsdatum

18.03.2026
Abbildungen

schwarz-weiss Illustrationen, farbige Illustrationen, Zeichnungen, schwarz-weiss, Zeichnungen, farbig, Tabellen, schwarz-weiss
Verlag Taylor and Francis
Seitenzahl

446
Maße (L/B/H)

24/16,1/2,8 cm
Gewicht

781 g
Sprache

Englisch
ISBN

978-1-04-112934-9
Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Physics-Generated AIs of Robust Nonlinear Filter and Control Designs for Complicated Man-Made Machines

  • 1. Introduction to Physics-Generated AI-Driven Filter and Control Scheme of Nonlinear Stochastic Systems of Man-Made Machines 2. Physics-Generated AI-Driven H¿ Stabilization Control Scheme of Nonlinear Time-Varying Dynamic Systems with Its Application to Quadrotor UAV Tracking Control Design 3. Robust H¿ Physics-Generated AI-Driven Filter Design of Nonlinear Stochastic Systems: with Application to Radar Detection of Incoming Missile 4. Physics-Generated AI-Driven Mixed H2/H¿ Filter Design of Nonlinear Stochastic Systems for the Trajectory Estimation of Incoming Ballistic Missile 5. Physics-Generated AI-Driven Robust H¿ Observer-Based Reference Tracking Control Design of Nonlinear Stochastic Systems with Application to Reference Trajectory Estimation and Tracking Control of Quadrotor UAV 6. Physics-Generated AI-Driven H2/H¿ Observer-Based State Regulation Control for Nonlinear Stochastic Systems with Application to Anti-Missile Guidance Control System 7. Robust Physics-Generated AI-Driven H¿ Attack-Tolerant Localization Filter-Based Path Tracking Control Design of Mobile Robot via Wireless Sensor Networks in the Intelligent Buildings and Smart Cities 8. Physics-Generated AI-Driven Decentralized H¿ Team Formation Tracking Control for Large-Scale Biped Robots 9. Physics-Generated AI-Driven H¿ Decentralized Attack-Tolerant Observer-Based Team Formation Network Control System of Large-Scale Quadrotor UAVs 10. Decentralized H¿ Physics-Generated AI-Driven Observer-Based Attack-Tolerant Formation Tracking Network Control of Large-Scale LEO Satellites