LEADER 05438nam 2200697Ia 450 001 9911004740403321 005 20200520144314.0 010 $a9786611077273 010 $a9781281077271 010 $a1281077275 010 $a9780080498607 010 $a0080498604 035 $a(CKB)1000000000384579 035 $a(EBL)316841 035 $a(OCoLC)192048561 035 $a(SSID)ssj0000071360 035 $a(PQKBManifestationID)11110005 035 $a(PQKBTitleCode)TC0000071360 035 $a(PQKBWorkID)10089662 035 $a(PQKB)11744952 035 $a(MiAaPQ)EBC316841 035 $a(PPN)170234193 035 $a(FR-PaCSA)40000590 035 $a(FRCYB40000590)40000590 035 $a(EXLCZ)991000000000384579 100 $a19990128d1999 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdaptive control systems /$fGang Feng and Rogelio Lozano 210 $aBoston ;$aOxford $cNewnes$d1999 215 $a1 online resource (360 p.) 300 $aDescription based upon print version of record. 311 08$a9780750639965 311 08$a0750639962 320 $aIncludes bibliographical references and index. 327 $aContents; List of contributors; Preface; 1. Adaptive internal model control; 1.1 Introduction; 1.2 Internal model control (IMC) schemes: known parameters; 1.3 Adaptive internal model control schemes; 1.4 Stability and robustness analysis; 1.5 Simulation examples; 1.6 Concluding remarks; References; 2. An algorithm for robust adaptive control with less prior knowlege; 2.1 Introduction; 2.2 Problem formulation; 2.3 Ordinary direct adaptive control with dead zone; 2.4 New robust direct adaptive control; 2.5 Robust adaptive control with least prior knowledge; 2.6 Simulation example 327 $a2.7 ConclusionsReferences; 3. Adaptive variable structure control; 3.1 Introduction; 3.2 Problem formulation; 3.3 The case of relative degree one; 3.4 The case of arbitrary relative degree; 3.5 Computer simulations; 3.6 Conclusion; Appendix; References; 4. Indirect adaptive periodic control; 4.1 Introduction; 4.2 Problem formulation; 4.3 Adaptive control scheme; 4.4 Adaptive control law; 4.5 Simulations; 4.6 Conclusions; References; 5. Adaptive stabilization of uncertain discrete-time systems via switching control: the method of localization; 5.1 Introduction; 5.2 Problem statement 327 $a5.3 Direct localization principle5.4 Indirect localization principle; 5.5 Simulation examples; 5.6 Conclusions; Appendix A; Appendix B; References; 6. Adaptive nonlinear control: passivation and small gain techniques; 6.1 Introduction; 6.2 Mathematical preliminaries; 6.3 Adaptive passivation; 6.4 Small gain-based adaptive control; 6.5 Conclusions; References; 7. Active identification for control of discrete-time uncertain nonlinear systems; 7.1 Introduction; 7.2 Problem formulation; 7.3 Active identification; 7.4 Finite duration; 7.5 Concluding remarks; Appendix; References 327 $a8. Optimal adaptive tracking for nonlinear systems8.1 Introduction; 8.2 Problem statement: adaptive tracking; 8.3 Adaptive tracking and atclf's; 8.4 Adaptive backstepping; 8.5 Inverse optimal adaptive tracking; 8.6 Inverse optimality via backstepping; 8.7 Design for strict-feedback systems; 8.8 Transient performance; 8.9 Conclusions; Appendix: A technical lemma; References; 9. Stable adaptive systems in the presence of nonlinear parametrization; 9.1 Introduction; 9.2 Statement of the problem; 9.3 Preliminaries; 9.4 Stable adaptive NP-systems; 9.5 Applications; 9.6 Conclusions 327 $aAppendix: Proof of lemmasReferences; 10. Adaptive inverse for actuator compensation; 10.1 Introduction; 10.2 Plants with actuator nonlinearities; 10.3 Parametrized inverses; 10.4 State feedback designs; 10.5 Output feedback inverse control; 10.6 Output feedback designs; 10.7 Designs for multivariable systems; 10.8 Designs for nonlinear dynamics; 10.9 Concluding remarks; References; 11. Stable multi-input multi-output adaptive fuzzy/neural control; 11.1 Introduction; 11.2 Direct adaptive control; 11.3 Indirect adaptive control; 11.4 Applications; 11.5 Conclusions; References 327 $a12. Adaptive robust control scheme with an application to PM synchronous motors 330 $aAdaptive control is no longer just an important theoretical field of study, but is also providing solutions to real-world problems. Adaptive techniques will transform the world of control. The leading world practitioners of adaptive control have contributed to this handbook which is the most important work yet in this field. Not only are techniques described in theory, but detailed control algorithms are given, making this a practical cookbook of adaptive control for both control professionals and practising engineers.The book presents the most advanced techniques and algorithms of ada 606 $aAdaptive control systems 606 $aSelf-tuning controllers 615 0$aAdaptive control systems. 615 0$aSelf-tuning controllers. 676 $a629.8/36 21 676 $a629.836 676 $a629.836 700 $aFeng$b Gang$01444671 701 $aLozano$b R$g(Rogelio),$f1954-$0727156 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911004740403321 996 $aAdaptive control systems$93625558 997 $aUNINA