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A simple robust decentralized H∞ proportional-integral-derivative (PID) reference tracking network control strategy is introduced for practical applications of team formation of large-scale UAV under control saturation constraint, external disturbance, and vortex coupling. It provides practical design procedures based on linear matrix inequalities (LMIs) solvable via LMI TOOLBOX in MATLAB®. \u003c\/p\u003e\u003cp\u003eFeatures:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eFocuses on the stabilization of a QUAV under finite-time switching model control (SMC)\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eDiscusses robustness control design for formation tracking in UAV networks \u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eIntroduces different robust centralized and decentralized H∞ attack-tolerant observer-based reference team formation tracking control of large-scale UAVs \u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eReviews practical case studies in each chapter to introduce the design procedures \u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eIncludes design examples of team formation of 25 quadrotor UAVs and a team formation example of five hybrid quadrotor\/biped robot sub-teams\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis book is aimed at researchers and graduate students in control and electrical engineering.\u003c\/p\u003e","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51213059326225,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51213062078737,"sku":"NIN9781032829371","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52620173476113,"sku":"NLS9781032829371","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1032829370.jpg?v=1788865890"},{"product_id":"robust-engineering-designs-of-partial-differential-systems-and-their-application-book-bor-sen-chen-9781032134451","title":"Robust Engineering Designs of Partial Differential Systems and Their Applications","description":"\u003cp\u003eMost systems in science, engineering, and biology are of partial differential systems (PDSs) modeled by partial differential equations. Many books about partial differential equations have been written by mathematicians and mainly address some fundamental mathematic backgrounds and discuss some mathematic properties of partial differential equations. Only a few books on PDSs have been written by engineers; however, these books have focused mainly on the theoretical stabilization analysis of PDSs, especially mechanical systems. This book investigates both robust stabilization control design and robust filter design and reference tracking control design in mechanical, signal processing, and control systems to fill a gap in the study of PDSs.\u003c\/p\u003e\u003cp\u003eRobust Engineering Designs of Partial Differential Systems and Their Applications offers some fundamental background in the first two chapters. The rest of the chapters focus on a specific design topic with a corresponding deep investigation into robust H∞ filtering, stabilization, or tracking design for more complex and practical PDSs under stochastic fluctuation and external disturbance.\u003c\/p\u003e\u003cp\u003eThis book is aimed at engineers and scientists and addresses the gap between the theoretical stabilization results of PDSs in academic and practical engineering designs more focused on the robust H∞ filtering, stabilization, and tracking control problems of linear and nonlinear PDSs under intrinsic random fluctuation and external disturbance in industrial applications.\u003c\/p\u003e\u003cp\u003ePart I provides backgrounds on PDSs, such as Galerkin’s, and finite difference methods to approximate PDSs and a fuzzy method to approximate nonlinear PDSs. Part II examines robust H∞ filter designs for the robust state estimation of linear and nonlinear stochastic PDSs. And Part III treats robust H∞ stabilization and tracking control designs of linear and nonlinear PDSs. 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Additionally, it presents a method for training deep neural networks (DNNs) using these models, alongside a physics-generated AI-driven observer-based reference tracking control scheme, with applications in the guidance and control of relevant systems.\u003c\/p\u003e\u003cp\u003eKey features:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides theoretical analysis and detailed design procedure for physics-generated AI-driven H∞ or mixed H2\/H∞ filter\u003c\/li\u003e\n\u003cli\u003eApplies physics-generated AI-driven robust H∞ or mixed H2\/H∞ filter and reference tracking control schemes to the trajectory estimation and reference tracking control of man-made machines\u003c\/li\u003e\n\u003cli\u003eIntroduces physics-generated AI-driven decentralized H∞ observer-based team formation tracking control of large-scale quadrotor UAVs, biped robots or LEO satellites\u003c\/li\u003e\n\u003cli\u003ePromulgates the idea of the forthcoming age of physics-generated AI in robot\u003c\/li\u003e\n\u003cli\u003eDescribes robust physics-generated AI-driven filter and control schemes for complex man-made machines\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis book is aimed at graduate students and researchers in control science, signal processing and artificial intelligence.\u003c\/p\u003e","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51853147013393,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":51853147046161,"sku":"NGR9781041129349","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":53240967987473,"sku":"NLS9781041129349","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781041129349.jpg?v=1786965449"},{"product_id":"big-mechanisms-in-systems-biology-book-bor-sen-chen-9780128094792","title":"Big Mechanisms in Systems Biology","description":"Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining methods using models of biological systems. 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