LEADER 02531nam 2200481 450 001 9910830789503321 005 20221230115228.0 010 $a1-119-86310-4 010 $a1-119-86308-2 035 $a(MiAaPQ)EBC7041049 035 $a(Au-PeEL)EBL7041049 035 $a(CKB)24230401100041 035 $a(OCoLC)1341996468 035 $a(OCoLC-P)1341996468 035 $a(CaSebORM)9781119863076 035 $a(EXLCZ)9924230401100041 100 $a20221230d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimal and robust state estimation $efinite impulse response (FIR) and Kalman approaches /$fYuriy S. Shmaliy, Shunyi Zhao 210 1$aHoboken, New Jersey :$cWiley-IEEE Press,$d[2022] 210 4$dİ2022 215 $a1 online resource (483 pages) 311 08$aPrint version: Shmaliy, Yuriy S. Optimal and Robust State Estimation Newark : John Wiley & Sons, Incorporated,c2022 9781119863076 320 $aIncludes bibliographical references and index. 330 $a"This book is the first systematic investigation and analysis of batch state estimators and recursive forms. It begins by introducing the reader to the state estimation approach, then discusses the properties of finite impulse response (FIR) state estimators and provides a brief historical overview. Further chapters give the basics of probability and stochastic processes, discuss the available linear and nonlinear state estimators, and deal with optimal FIR filtering and considers a posteriori and a priori optimal, optimal unbiased, and limited memory batch and recursive algorithms. Other topics covered include solving the q-lag FIR smoothing problem, introducing the receding horizon (RH) FIR state estimation approach, and developing the theory of FIR state estimation under disturbances. The book closes by discussing the theory of FIR state estimation for uncertain systems and providing several applications where the FIR state estimators are used effectively."-- 606 $aObservers (Control theory) 606 $aSystems engineering 615 0$aObservers (Control theory) 615 0$aSystems engineering. 676 $a629.8312 700 $aShmaliy$b Yuriy$01702427 702 $aZhao$b Shunyi 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830789503321 996 $aOptimal and robust state estimation$94086952 997 $aUNINA LEADER 04102nam 22006373u 450 001 9910955593503321 005 20251117070557.0 010 $a1-4529-4981-6 035 $a(CKB)3710000000553947 035 $a(EBL)4391845 035 $a(SSID)ssj0001619464 035 $a(PQKBManifestationID)16349731 035 $a(PQKBTitleCode)TC0001619464 035 $a(PQKBWorkID)14922641 035 $a(PQKB)10174500 035 $a(MiAaPQ)EBC4391845 035 $a(EXLCZ)993710000000553947 100 $a20160215d2015|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMultiple autisms $espectrums of advocacy and genomic science /$fJennifer S. Singh 205 $a1st ed. 210 $aMinneapolis $cUniversity of Minnesota Press$d2015 215 $a1 online resource (302 p.) 300 $aDescription based upon print version of record. 311 08$a0-8166-9831-7 327 $aCover; Contents; Abbreviations; Preface; Introduction: Multiple Ways of Viewing Autism; 1 Defining, Counting, Contesting: Changes in Diagnosis, Prevalence, and Advocacy; 2 Parent Advocacy and the Rise of Autism Genetics Research; 3 No Single Gene for Autism: The Emergence of Genomic Styles of Thought; 4 Simplex Families, Complex Exchanges: Why Parents Participate in an Autism Genomic Database; 5 Living with Autism: Perspectives of Adults on the Spectrum; Conclusion: A Spectrum of Knowledge Production; Acknowledgments; Appendix: Methods; Notes; Bibliography; Index; A; B; C; D; E; F; G; H; I; J 327 $aKL; M; N; O; P; Q; R; S; T; U; V; W 330 $aIs there a gene for autism? Despite a billion-dollar, twenty-year effort to find out-and the more elusive the answer, the greater the search seems to become-no single autism gene has been identified. In Multiple Autisms, Jennifer S. Singh sets out to discover how autism emerged as a genetic disorder and how this affects those who study autism and those who live with it. This is the first sustained analysis of the practices, politics, and meaning of autism genetics from a scientific, cultural, and social perspective.In 2004, when Singh began her research, the prevalence of autism was reported as 1 in 150 children. Ten years later, the number had jumped to 1 in 100, with the disorder five times more common in boys than in girls. Meanwhile the diagnosis changed to "autistic spectrum disorders," and investigations began to focus more on genomics than genetics, less on single genes than on hundreds of interacting genes. Multiple Autisms charts this shift and its consequences through nine years of ethnographic observations, analysis of scientific and related literatures, and morethan seventy interviews with autism scientists, parents of children with autism, and people on the autism spectrum. The book maps out the social history of parental activism in autism genetics, the scientific optimism about finding a gene for autism and the subsequent failure, and the cost in personal and social terms of viewing and translating autism through a genomic lens. How is genetic information useful to people living with autism? By considering this question alongside the scientific and social issues that autism research raises, Singh's work shows us the true reach and implications of a genomic gaze. 606 $aAutism$xResearch 606 $aGenetics$xResearch 606 $aAutism 606 $aAutistic Disorder 606 $aAutism Spectrum Disorder 606 $aPsychiatry 606 $aBiological Science Disciplines 615 0$aAutism$xResearch. 615 0$aGenetics$xResearch. 615 0$aAutism. 615 2$aAutistic Disorder. 615 2$aAutism Spectrum Disorder. 615 2$aPsychiatry. 615 2$aBiological Science Disciplines. 676 $a616.85/882 700 $aSingh$b Jennifer S$01881500 712 02$aProject Muse, 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910955593503321 996 $aMultiple autisms$94496118 997 $aUNINA