{"product_id":"9781041129349","title":"PRE-ORDER NOW Physics-Generated Artificial Intelligence: Theory and Applications by Bor-Sen Chen","description":"\u003cp\u003e \u003cstrong\u003e PRE-ORDER NOW - Published: 11\/03\/2026 \u003c\/strong\u003e\u003c\/p\u003eThis book introduces a robust H8 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 H8 state estimation (filtering) and reference trajectory tracking control in nonlinear stochastic systems. Additionally, it presents a method for training deep neural networks (DNNs) using these models, alongside a physical generative AI-driven observer-based reference tracking control scheme, with applications in the guidance and control of relevant systems.   Key features--Provides theoretical analysis and detailed design procedure for physical generative AI-driven H8 or mixed H2\/H8 filter-Applies physical generative AI-driven robust H8 or mixed H2\/H8 filter and reference tracking control schemes to the trajectory estimation and reference tracking control of man-made machines-Introduces physical generative AI-driven decentralized H8 observer-based team formation tracking control of large-scale quadrotor UAVs, biped robots or LEO satellites- Promulgates the idea of the forthcoming age of physical generative AI in robot-Describes robust physical generative AI-driven filter and control schemes for complex man-made machinesThis book is aimed at graduate students and researchers in control science, signal processing and artificial intelligence. \u003cbr\u003e  \u003cbr\u003eBinding: Hardback","brand":"Gardners","offers":[{"title":"Default Title","offer_id":56368566206837,"sku":"9781041129349","price":165.0,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/backstory.london\/products\/9781041129349","provider":"Backstory","version":"1.0","type":"link"}