LEADER 03195nam2 2200445 450 001 000008283 005 20070927140955.0 012 $arata n-e- o-r- stci (3) 1785 (R)$2fei$5UNIPARTHENOPE BORB-M-7/IX 012 $adino l-e' lale fobi (3) 1785 (R)$2fei$5UNIPARTHENOPE BORB-M-7/IX pt. 2 012 $as-r- tia. m-on peca (3) 1785 (R)$2fei$5UNIPARTHENOPE BORB-M-7/X 012 $aeere a-oo onel prdi (3) 1785 (R)$2fei$5UNIPARTHENOPE BORB-7/X pt. 4 100 $a20070926d1785----km-y0itay50------ba 101 0 $aita 102 $aIT 140 $ay---y----ba------yyyb-1001-- 141 $aa--u0bb-$5UNIPARTHENOPE-------------------------------------------------------------- 200 1 $aOsservazioni naturali fatte da Renaldo Forster nell'emisfero australe. Tomo primo [-2.] 210 $aNapoli$cpresso la Nuova Societą Letteraria e Tipografica$d1785 215 $a2 v.$d8° 300 $aFregio xil. sui front. 307 $aSegn. vol. 1: [pigreco]1 A-L8 M4 307 $aSegn vol. 1 (pt. 2): A-M8. - Bianca la c. M8v 307 $aSegn. vol. 2: [pigreco]1 A-M8 307 $aSegn. vol. 2 (pt. 4): A-I8 316 $aVoll. 1-2: Legatura in pergamena su piatti di cartone (20x12x5 cm); dorso con A., tit. numeri di tomo e dec. impressi in oro; ivi, inoltre, etichette con antiche segnature, etichetta con l'attuale coll. a coprire coll. del Regio Istituto Superiore Navale; foxing$5UNIPARTHENOPE 317 $aVol. 1: pt. 1 e pt. 2 legate in un solo tomo: sulla controg. ant. ex libris della Reale Biblioteca di Marina; sul r. della c. di g. ant.: Class XI 172 Ingress 4172, a inchiostro, del Registro inventario della Regia Marina Biblioteca dipartimentale di Napoli; la stessa ripetuta, a matita, ma errata; sul front. Dewey dell'IUN: 910.45; timbro A della Reale Biblioteca di Marina: front, A1r, A2v; timbro B della stessa: M7v (pt. 2); timbro dell\2019Accademia della Real Marina: sul front.$5UNIPARTHENOPE 317 $aVol. 2: pt. 3 e pt. 4 legate in un solo tomo: sulla controg. ant. ex libris della Reale Biblioteca di Marina; sul r. della c. di g. ant.: Class XI 172 Ingress 4172, a inchiostro, del Registro inventario della Regia Marina Biblioteca dipartimentale di Napoli; la stessa ripetuta, a matita, ma errata; sul front. Dewey dell'IUN: 910.45; timbro A della Reale Biblioteca di Marina: front., A1r, I8v (pt. 4); timbro dell\2019Accademia della Real Marina: sul front.$5UNIPARTHENOPE 327 1 $aVol. 1: [2], 184 p.$aVol. 1 (pt. 2): 191, [1] p.$aVol. 2: [2], 192 p.$aVol. 2 (pt. 4): 144 p. 461 1$1001000008264$12001$aStoria de' viaggi intrapresi per ordine di S.M. Brittannica dal capitano Giacomo Cook ...$vVol. 9-10 620 $aItalia$dNapoli 676 $a508.94$v14 700 1$aForster,$bReinhard$071876 712 02$aNuova Societa Letteraria eTipografica$e$4650 712 02$aDue Sicilie : Ministero della guerra e della marina$4390 801 0$aIT$bUNIPARTHENOPE$c20070926$gRICA$2UNIMARC 912 $a000008283 951 $aBORB-M-7/IX$b2221$cFB$d2007 951 $aBORB-M-7/X$b2222$cFB$d2007 996 $aOsservazioni naturali fatte da Renaldo Forster nell'emisfero australe. Tomo primo$9373138 997 $aUNIPARTHENOPE LEADER 09640nam 2200505 450 001 9910678005903321 005 20230320180734.0 010 $a1-119-98604-4 010 $a1-119-98602-8 010 $a1-119-98603-6 035 $a(MiAaPQ)EBC7134081 035 $a(Au-PeEL)EBL7134081 035 $a(CKB)25299356800041 035 $a(EXLCZ)9925299356800041 100 $a20230320d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aZeroing neural networks $efinite-time convergence design, analysis and applications /$fLin Xiao and Lei Jia 210 1$aPiscataway, New Jersey ;$aHoboken, New Jersey :$cIEEE Press :$cWiley,$d[2023] 210 4$d©2023 215 $a1 online resource (435 pages) 311 08$aPrint version: Xiao, Lin Zeroing Neural Networks Newark : John Wiley & Sons, Incorporated,c2022 9781119985990 320 $aIncludes bibliographical references and index. 327 $aCover -- Title Page -- Copyright -- Contents -- List of Figures -- List of Tables -- Author Biographies -- Preface -- Acknowledgments -- Part I Application to Matrix Square Root -- Chapter 1 FTZNN for Time?varying Matrix Square Root -- 1.1 Introduction -- 1.2 Problem Formulation and ZNN Model -- 1.3 FTZNN Model -- 1.3.1 Model Design -- 1.3.2 Theoretical Analysis -- 1.4 Illustrative Verification -- 1.5 Chapter Summary -- References -- Chapter 2 FTZNN for Static Matrix Square Root -- 2.1 Introduction -- 2.2 Solution Models -- 2.2.1 OZNN Model -- 2.2.2 FTZNN Model -- 2.3 Illustrative Verification -- 2.3.1 Example 1 -- 2.3.2 Example 2 -- 2.4 Chapter Summary -- References -- Part II Application to Matrix Inversion -- Chapter 3 Design Scheme I of FTZNN -- 3.1 Introduction -- 3.2 Problem Formulation and Preliminaries -- 3.3 FTZNN Model -- 3.3.1 Model Design -- 3.3.2 Theoretical Analysis -- 3.4 Illustrative Verification -- 3.4.1 Example 1: Nonrandom Time?varying Coefficients -- 3.4.2 Example 2: Random Time?varying Coefficients -- 3.5 Chapter Summary -- References -- Chapter 4 Design Scheme II of FTZNN -- 4.1 Introduction -- 4.2 Preliminaries -- 4.2.1 Mathematical Preparation -- 4.2.2 Problem Formulation -- 4.3 NT?FTZNN Model -- 4.4 Theoretical Analysis -- 4.4.1 NT?FTZNN in the Absence of Noises -- 4.4.2 NT?FTZNN in the Presence of Noises -- 4.4.2.1 Dynamic Bounded Gradually Disappearing Noise -- 4.4.2.2 Dynamic Bounded Non?disappearing Noise -- 4.5 Illustrative Verification -- 4.5.1 Example 1: Two?dimensional Coefficient -- 4.5.2 Example 2: Six?dimensional Coefficient -- 4.5.3 Example 3: Application to Mobile Manipulator -- 4.5.4 Example 4: Physical Comparative Experiments -- 4.6 Chapter Summary -- References -- Chapter 5 Design Scheme III of FTZNN -- 5.1 Introduction -- 5.2 Problem Formulation and Neural Solver -- 5.2.1 FPZNN Model. 327 $a5.2.2 IVP?FTZNN Model -- 5.3 Theoretical Analysis -- 5.4 Illustrative Verification -- 5.4.1 Example 1: Two?Dimensional Coefficient -- 5.4.2 Example 2: Three?Dimensional Coefficient -- 5.5 Chapter Summary -- References -- Part III Application to Linear Matrix Equation -- Chapter 6 Design Scheme I of FTZNN -- 6.1 Introduction -- 6.2 Convergence Speed and Robustness Co?design -- 6.3 R?FTZNN Model -- 6.3.1 Design of R?FTZNN -- 6.3.2 Analysis of R?FTZNN -- 6.4 Illustrative Verification -- 6.4.1 Numerical Example -- 6.4.1.1 No Noise Considered -- 6.4.1.2 With Noises Considered -- 6.4.2 Applications: Robotic Motion Tracking -- 6.5 Chapter Summary -- References -- Chapter 7 Design Scheme II of FTZNN -- 7.1 Introduction -- 7.2 Problem Formulation -- 7.3 FTZNN Model -- 7.4 Theoretical Analysis -- 7.4.1 Convergence -- 7.4.2 Robustness -- 7.5 Illustrative Verification -- 7.5.1 Convergence -- 7.5.2 Robustness -- 7.6 Chapter Summary -- References -- Part IV Application to Optimization -- Chapter 8 FTZNN for Constrained Quadratic Programming -- 8.1 Introduction -- 8.2 Preliminaries -- 8.2.1 Problem Formulation -- 8.2.2 Optimization Theory -- 8.3 U?FTZNN Model -- 8.4 Convergence Analysis -- 8.5 Robustness Analysis -- 8.6 Illustrative Verification -- 8.6.1 Qualitative Experiments -- 8.6.2 Quantitative Experiments -- 8.7 Application to Image Fusion -- 8.8 Application to Robot Control -- 8.9 Chapter Summary -- References -- Chapter 9 FTZNN for Nonlinear Minimization -- 9.1 Introduction -- 9.2 Problem Formulation and ZNN Models -- 9.2.1 Problem Formulation -- 9.2.2 ZNN Model -- 9.2.3 RZNN Model -- 9.3 Design and Analysis of R?FTZNN -- 9.3.1 Second?Order Nonlinear Formula -- 9.3.2 R?FTZNN Model -- 9.4 Illustrative Verification -- 9.4.1 Constant Noise -- 9.4.2 Dynamic Noise -- 9.5 Chapter Summary -- References -- Chapter 10 FTZNN for Quadratic Optimization. 327 $a10.1 Introduction -- 10.2 Problem Formulation -- 10.3 Related Work: GNN and ZNN Models -- 10.3.1 GNN Model -- 10.3.2 ZNN Model -- 10.4 N?FTZNN Model -- 10.4.1 Models Comparison -- 10.4.2 Finite?Time Convergence -- 10.5 Illustrative Verification -- 10.6 Chapter Summary -- References -- Part V Application to the Lyapunov Equation -- Chapter 11 Design Scheme I of FTZNN -- 11.1 Introduction -- 11.2 Problem Formulation and Related Work -- 11.2.1 GNN Model -- 11.2.2 ZNN Model -- 11.3 FTZNN Model -- 11.4 Illustrative Verification -- 11.5 Chapter Summary -- References -- Chapter 12 Design Scheme II of FTZNN -- 12.1 Introduction -- 12.2 Problem Formulation and Preliminaries -- 12.3 FTZNN Model -- 12.3.1 Design of FTZNN -- 12.3.2 Analysis of FTZNN -- 12.4 Illustrative Verification -- 12.5 Application to Tracking Control -- 12.6 Chapter Summary -- References -- Chapter 13 Design Scheme III of FTZNN -- 13.1 Introduction -- 13.2 N?FTZNN Model -- 13.2.1 Design of N?FTZNN -- 13.2.2 Re?Interpretation from Nonlinear PID Perspective -- 13.3 Theoretical Analysis -- 13.4 Illustrative Verification -- 13.4.1 Numerical Comparison -- 13.4.2 Application Comparison -- 13.4.3 Experimental Verification -- 13.5 Chapter Summary -- References -- Part VI Application to the Sylvester Equation -- Chapter 14 Design Scheme I of FTZNN -- 14.1 Introduction -- 14.2 Problem Formulation and ZNN Model -- 14.3 N?FTZNN Model -- 14.3.1 Design of N?FTZNN -- 14.3.2 Theoretical Analysis -- 14.4 Illustrative Verification -- 14.5 Robotic Application -- 14.6 Chapter Summary -- References -- Chapter 15 Design Scheme II of FTZNN -- 15.1 Introduction -- 15.2 ZNN Model and Activation Functions -- 15.2.1 ZNN Model -- 15.2.2 Commonly Used AFs -- 15.2.3 Two Novel Nonlinear AFs -- 15.3 NT?PTZNN Models and Theoretical Analysis -- 15.3.1 NT?PTZNN1 Model -- 15.3.1.1 Case 1 -- 15.3.1.2 Case 2. 327 $a15.3.2 NT?PTZNN2 Model -- 15.3.2.1 Case 1 -- 15.3.2.2 Case 2 -- 15.4 Illustrative Verification -- 15.4.1 Example 1 -- 15.4.2 Example 2 -- 15.4.3 Example 3 -- 15.5 Chapter Summary -- References -- Chapter 16 Design Scheme III of FTZNN -- 16.1 Introduction -- 16.2 ZNN Model and Activation Function -- 16.2.1 ZNN Model -- 16.2.2 Sign?bi?power Activation Function -- 16.3 FTZNN Models with Adaptive Coefficients -- 16.3.1 SA?FTZNN Model -- 16.3.2 PA?FTZNN Model -- 16.3.3 EA?FTZNN Model -- 16.4 Illustrative Verification -- 16.5 Chapter Summary -- References -- Part VII Application to Inequality -- Chapter 17 Design Scheme I of FTZNN -- 17.1 Introduction -- 17.2 FTZNN Models Design -- 17.2.1 Problem Formulation -- 17.2.2 ZNN Model -- 17.2.3 Vectorization -- 17.2.4 Activation Functions -- 17.2.5 FTZNN Models -- 17.3 Theoretical Analysis -- 17.3.1 Global Convergence -- 17.3.2 Finite?Time Convergence -- 17.4 Illustrative Verification -- 17.5 Chapter Summary -- References -- Chapter 18 Design Scheme II of FTZNN -- 18.1 Introduction -- 18.2 NT?FTZNN Model Deisgn -- 18.2.1 Problem Formulation -- 18.2.2 ZNN Model -- 18.2.3 NT?FTZNN Model -- 18.2.4 Activation Functions -- 18.3 Theoretical Analysis -- 18.3.1 Global Convergence -- 18.3.2 Finite?Time Convergence -- 18.3.3 Noise?Tolerant Convergence -- 18.4 Illustrative Verification -- 18.5 Chapter Summary -- References -- Part VIII Application to Nonlinear Equation -- Chapter 19 Design Scheme I of FTZNN -- 19.1 Introduction -- 19.2 Model Formulation -- 19.2.1 OZNN Model -- 19.2.2 FTZNN Model -- 19.2.3 Models Comparison -- 19.3 Convergence Analysis -- 19.4 Illustrative Verification -- 19.4.1 Nonlinear Equation f(u) with Simple Root -- 19.4.2 Nonlinear Equation f(u) with Multiple Root -- 19.5 Chapter Summary -- References -- Chapter 20 Design Scheme II of FTZNN -- 20.1 Introduction -- 20.2 Problem and Model Formulation. 327 $a20.2.1 GNN Model -- 20.2.2 OZNN Model -- 20.3 FTZNN Model and Finite?Time Convergence -- 20.4 Illustrative Verification -- 20.5 Chapter Summary -- References -- Chapter 21 Design Scheme III of FTZNN -- 21.1 Introduction -- 21.2 Problem Formulation and ZNN Models -- 21.2.1 Problem Formulation -- 21.2.2 ZNN Model -- 21.3 Robust and Fixed?Time ZNN Model -- 21.4 Theoretical Analysis -- 21.4.1 Case 1: No Noise -- 21.4.2 Case 2: Under External Noises -- 21.5 Illustrative Verification -- 21.6 Chapter Summary -- References -- Index -- EULA. 606 $aNeural networks (Computer science) 606 $aNonlinear difference equations 615 0$aNeural networks (Computer science) 615 0$aNonlinear difference equations. 676 $a006.32 700 $aXiao$b Lin$0933188 702 $aJia$b Lei 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910678005903321 996 $aZeroing Neural Networks$93061266 997 $aUNINA