LEADER 02872oam 2200613I 450 001 9910787964103321 005 20170817193846.0 010 $a0-429-08883-3 010 $a1-138-03428-2 010 $a1-4665-6884-4 024 7 $a10.1201/b17078 035 $a(CKB)2670000000557454 035 $a(EBL)1605632 035 $a(SSID)ssj0001225248 035 $a(PQKBManifestationID)11730782 035 $a(PQKBTitleCode)TC0001225248 035 $a(PQKBWorkID)11264772 035 $a(PQKB)10887716 035 $a(MiAaPQ)EBC1605632 035 $a(OCoLC)881162708 035 $a(CaSebORM)9781466568846 035 $a(EXLCZ)992670000000557454 100 $a20180331h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRecursive identification and parameter estimation /$fHan-Fu Chen, Wenxiao Zhao 210 1$aBoca Raton :$cTaylor & Francis,$d[2014] 210 4$dİ2014 215 $a1 online resource (426 p.) 300 $aDescription based upon print version of record. 311 $a1-306-86680-4 311 $a1-4665-6886-0 320 $aIncludes bibliographical references. 327 $aFront Cover; Contents; Preface; Acknowledgments; About the Authors; 1. Dependent Random Vectors; 2. Recursive Parameter Estimation; 3. Recursive Identification for ARMAX Systems; 4. Recursive Identification for Nonlinear Systems; 5. Other Problems Reducible to Parameter Estimation; Appendix A: Proof of Some Theorems in Chapter 1; Appendix B: Nonnegative Matrices; References 330 $aThis book describes the recursive approach to solving problems from system identification, parameter estimation, adaptive control problems, and more. Special attention is paid to how to transform the problems suitable to a recursive solution. Recursive solutions are given for identification of ARMAX systems without imposing restrictive conditions; for identification of typical nonlinear systems; for optimal adaptive tracking, iterative learning control of nonlinear systems, the consensus of multi-agents systems, and others; for some other related problems such as principal component analysis, the distributed randomized PageRank computation, and more. --$cProvided by publisher. 606 $aRecursive functions 606 $aParameter estimation 606 $aSystems engineering$xMathematics 615 0$aRecursive functions. 615 0$aParameter estimation. 615 0$aSystems engineering$xMathematics. 676 $a620/.004201519536 686 $aMAT003000$aMAT029010$aTEC007000$2bisacsh 700 $aChen$b Hanfu$0460829 702 $aZhao$b Wenxiao 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910787964103321 996 $aRecursive identification and parameter estimation$93849457 997 $aUNINA