LEADER 04081nam 2200637 a 450 001 9910454417503321 005 20200520144314.0 010 $a1-60086-672-7 010 $a1-60086-453-8 035 $a(CKB)1000000000704108 035 $a(EBL)3111487 035 $a(SSID)ssj0000384328 035 $a(PQKBManifestationID)12133769 035 $a(PQKBTitleCode)TC0000384328 035 $a(PQKBWorkID)10339329 035 $a(PQKB)10279476 035 $a(MiAaPQ)EBC3111487 035 $a(Au-PeEL)EBL3111487 035 $a(CaPaEBR)ebr10516578 035 $a(OCoLC)922978878 035 $a(EXLCZ)991000000000704108 100 $a20041223d2004 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplications of robust control to nonlinear systems$b[electronic resource] /$fRichard D. Colgren 210 $aReston, Va. $cAmerican Institute of Aeronautics and Astronautics, Inc.$dc2004 215 $a1 online resource (185 p.) 225 1 $aProgress in astronautics and aeronautics ;$vv. 205 300 $aDescription based upon print version of record. 311 $a1-56347-666-5 320 $aIncludes bibliographical references (p. 165-169) and index. 327 $a""Cover""; ""Title""; ""Copyright""; ""Table of Contents""; ""Preface""; ""Acknowledgments""; ""Volume Nomenclature""; ""Chapter 1. Introduction to Robust Control""; ""Chapter 2. Describing Function""; ""I. Definition of Describing Function""; ""II. General Describing Function Evaluation Methods""; ""Chapter 3. H(infinity) Optimal Control""; ""I. Performance Specification""; ""II. HOC Control Synthesis""; ""III. #00 Riccati Solution for Augmented Plant Containing Describing Function""; ""Chapter 4. Robustness Analysis via Simplicial Algorithms""; ""I. Analytic Geometry"" 327 $a""II. Simplicial Mapping""""III. Simplex Nulling""; ""IV. Integer Labeling""; ""V. Vector Labeling""; ""Chapter 5. Nonlinear H(infinity) Control""; ""I. Nonlinear H^ Control Approach""; ""II. #00 Control of System with Relay Element via Loop-Shifting""; ""III. Control via Adaptive Perturbation Filter""; ""IV. Nonlinear Robustness Analysis of Relay Element via Simplicial Algorithms""; ""Chapter 6. Direct Approach to Nonlinear H(infinity) Control""; ""I. Riccati Equation Solution Initialization""; ""II. Hamiltonian Matrix H^ Solution""; ""III. Solution to HOQ Riccati Equation"" 327 $a""IV. Hamiltonian Matrix J^ Solution""""V. Solution to Joe Riccati Equation""; ""VI. Optimal H^ Controller""; ""Chapter 7. Nonlinear H(infinity) Control of a UAV""; ""I. UAV Plant Model""; ""II. UAV Roll Axis Control""; ""III. Closed Loop UAV Response""; ""Chapter 8. Computer Algorithms""; ""I. HOQ Optimization""; ""II. FORTRAN Simulation""; ""III. Variable Dimension Restart Algorithm""; ""Chapter 9. Hardware Implementation Example""; ""I. Circuit Design""; ""II. Circuit's Dynamic Response""; ""Chapter 10. Piloted Aircraft Performance""; ""I. I??-Synthesis Design Procedure"" 327 $a""II. Weightings and Uncertainty Models""""III. Conceptual I??-Synthesis Design""; ""IV. Iterated I??-Synthesis Design""; ""V. Maneuvers""; ""VI. Conclusions""; ""References""; ""Index""; ""A""; ""B""; ""C""; ""D""; ""E""; ""F""; ""G""; ""H""; ""I""; ""J""; ""L""; ""M""; ""N""; ""O""; ""P""; ""R""; ""S""; ""T""; ""U""; ""V""; ""W""; ""Z"" 410 0$aProgress in astronautics and aeronautics ;$vv. 205. 606 $aRobust control 606 $aNonlinear systems 606 $aAirplanes$xControl systems$xMathematical models 608 $aElectronic books. 615 0$aRobust control. 615 0$aNonlinear systems. 615 0$aAirplanes$xControl systems$xMathematical models. 676 $a629.1 s 676 $a629.8/312 700 $aColgren$b Richard D$g(Richard Dean)$0918383 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910454417503321 996 $aApplications of robust control to nonlinear systems$92063410 997 $aUNINA LEADER 03445nam 22007212 450 001 9910785691903321 005 20160211123446.0 010 $a1-107-21880-2 010 $a0-511-99432-X 010 $a1-282-97834-9 010 $a9786612978340 010 $a0-511-97582-1 010 $a0-511-99209-2 010 $a0-511-99312-9 010 $a0-511-98930-X 010 $a0-511-98752-8 010 $a0-511-99111-8 035 $a(CKB)2670000000069769 035 $a(EBL)647360 035 $a(OCoLC)700706144 035 $a(SSID)ssj0000473438 035 $a(PQKBManifestationID)11331151 035 $a(PQKBTitleCode)TC0000473438 035 $a(PQKBWorkID)10437705 035 $a(PQKB)10594099 035 $a(UkCbUP)CR9780511975820 035 $a(Au-PeEL)EBL647360 035 $a(CaPaEBR)ebr10442834 035 $a(CaONFJC)MIL297834 035 $a(MiAaPQ)EBC647360 035 $a(PPN)261192973 035 $a(EXLCZ)992670000000069769 100 $a20101011d2011|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical learning for biomedical data /$fJames D. Malley, Karen G. Malley, Sinisa Pajevic$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2011. 215 $a1 online resource (xii, 285 pages) $cdigital, PDF file(s) 225 1 $aPractical guides to biostatistics and epidemiology 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-69909-6 311 $a0-521-87580-3 320 $aIncludes bibliographical references and index. 327 $apt. 1. Introduction -- pt. 2. A machine toolkit -- pt. 3. Analysis fundamentals -- pt. 4. Machine strategies. 330 $aThis book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests?, neural nets, support vector machines, nearest neighbors and boosting. 410 0$aPractical guides to biostatistics and epidemiology. 606 $aMedical statistics$xData processing 606 $aBiometry$xData processing 615 0$aMedical statistics$xData processing. 615 0$aBiometry$xData processing. 676 $a614.285 700 $aMalley$b James D.$0442004 702 $aMalley$b Karen G. 702 $aPajevic$b Sinisa 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910785691903321 996 $aStatistical learning for biomedical data$93761061 997 $aUNINA