LEADER 04152nam 2200517 450 001 996503548903316 005 20230515101850.0 010 $a981-19-6317-7 035 $a(MiAaPQ)EBC7165908 035 $a(Au-PeEL)EBL7165908 035 $a(CKB)25913959100041 035 $a(PPN)267816855 035 $a(EXLCZ)9925913959100041 100 $a20230425d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIterative learning control for nonlinear time-delay system /$fJianming Wei, Hong Wang, and Fang Liu 210 1$aSingapore :$cSpringer,$d[2023] 210 4$d©2023 215 $a1 online resource (185 pages) 311 08$aPrint version: Wei, Jianming Iterative Learning Control for Nonlinear Time-Delay System Singapore : Springer,c2023 9789811963162 327 $aIntro -- Preface -- About This Book -- Contents -- 1 Introduction -- 1.1 Background -- 1.2 Research Status of ILC -- 1.2.1 Contraction Mapping Theorem Based Classical ILC -- 1.2.2 Composite Energy Function Based Adaptive ILC -- 1.2.3 2-D Theory Based ILC -- 1.3 Main Contents of the Book -- References -- 2 AILC of Parameterized Nonlinear Time-Delay Systems -- 2.1 Introduction -- 2.2 Problem Formulation and Preliminaries -- 2.2.1 Problem Formulation -- 2.2.2 Dead-Zone Characteristic -- 2.3 AILC Scheme Design -- 2.4 Stability Analysis -- 2.5 Simulation Analysis -- 2.5.1 Verification of the AILC Scheme -- 2.5.2 Comparison Simulation: Adaptive Control -- 2.6 Summary and Comments -- References -- 3 NN AILC of Nonlinear Time-Delay Systems -- 3.1 Introduction -- 3.2 Problem Formulation and Preliminaries -- 3.2.1 Problem Formulation -- 3.2.2 RBF Neural Network -- 3.3 RBF NN AILC Design -- 3.4 Stability Analysis -- 3.5 Simulation Analysis -- 3.5.1 Verification of the RBF NN AILC Scheme -- 3.5.2 Comparison Simulation: Adaptive NN Control -- 3.6 Summary and Comments -- References -- 4 AILC of Nonlinear Time-Delay Systems with Unknown Control Direction -- 4.1 Introduction -- 4.2 Problem Formulation and Preliminaries -- 4.2.1 Problem Formulation -- 4.2.2 Backlash-Like Hysteresis Nonlinearity -- 4.2.3 Nussbaum Gain Method -- 4.3 Nussbuam Gain-Based AILC Scheme Design -- 4.4 Stability Analysis -- 4.5 Simulation Analysis -- 4.5.1 Verification of Nussbuam Gain-Based AILC Scheme -- 4.5.2 Comparison Simulation: Nussbuam Gain-Based Adaptive NN Control -- 4.6 Summary and Comments -- References -- 5 Observer-Based AILC of Nonlinear Time-Delay Systems -- 5.1 Introduction -- 5.2 Problem Formulation and Preliminaries -- 5.2.1 Problem Formulation -- 5.2.2 Input Saturation Nonlinearity -- 5.2.3 Schur Complementary Lemma. 327 $a5.3 State Observer-Based AILC Design and Stability Analysis -- 5.3.1 State Observer Design -- 5.3.2 NN AILC Scheme Design -- 5.3.3 Stability Analysis -- 5.3.4 Simulation Analysis -- 5.4 Error Observer-Based AILC Design and Stability Analysis -- 5.4.1 Error Observer-Based AILC Scheme Design -- 5.4.2 Stability Analysis -- 5.4.3 Simulation Analysis -- 5.5 Summary and Comments -- References -- 6 Observer-Based AILC Design for Robotic Manipulator -- 6.1 Introduction -- 6.2 Problem Formulation and Preliminaries -- 6.2.1 Problem Formulation -- 6.2.2 'GL' Matrix and Operators -- 6.3 States Observer Design -- 6.4 AILC Design -- 6.5 Simulation Analysis -- 6.6 Summary and Comments -- References. 606 $aIntelligent control systems 606 $aMachine learning 606 $aControl intel·ligent$2thub 606 $aAprenentatge automàtic$2thub 608 $aLlibres electrònics$2thub 615 0$aIntelligent control systems. 615 0$aMachine learning. 615 7$aControl intel·ligent 615 7$aAprenentatge automàtic 676 $a629.8 700 $aWei$b Jianming$01274065 702 $aWang$b Hong 702 $aLiu$b Fang 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996503548903316 996 $aIterative learning control for nonlinear time-delay system$93091263 997 $aUNISA