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

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• Engenharia do controlo automático
• Geração e distribuição de energia
• Engenharia das comunicações e telecomunicações

nonlinear control theory;deep neural networks;observer design;state estimation methods;trajectory tracking algorithms;decentralized robotics systems;advanced missile guidance control