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

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.