01810nam a2200277 a 4500001001400000003000700014005001700021008004100038020001500079039010400094040000800198090002300206245014400229260002900373300002900402490008500431505058000516650002901096650002901125650001601154700002401170830008501194952013901279999002701418999008701445vtls000022355KUKTEM20251117144424.0071115s2002    nyu    f      001 0 eng|d  a0471415464 9a201107131939bVLOADc200910060953didac200908141350dVLOADc200908141322dVLOADy200711151026zkam  aUMP  aQA402.35 .S73 200200aStable adaptive control and estimation for nonlinear systems :bneural and fuzzy approximator techniques /cJeffrey T. Spooner ... [et al.]  aNew York :bWiley,c2002  a545 p. :bill. ;c24 cm.1 aAdaptive and learning systems for signal processing, communications, and control  a1. Introduction -- I. Foundations. 2. Mathematical Foundations. 3. Neural Networks and Fuzzy Systems. 4. Optimization for Training Approximators. 5. Function Approximation -- II. State-Feedback Control. 6. Control of Nonlinear Systems. 7. Direct Adaptive Control. 8. Indirect Adaptive Control. 9. Implementations and Comparative Studies -- III. Output-Feedback Control. 10. Output-Feedback Control. 11. Adaptive Output Feedback Control. 12. Applications -- V. Extensions. 13. Discrete-Time Systems. 14. Decentralized Systems. 15. Perspectives on Intelligent Adaptive Systems. 0aNonlinear control theory 0aAdaptive control systems 0aFuzzy logic1 aSpooner, Jeffrey T. 0aAdaptive and learning systems for signal processing, communications, and control  00102lcc4070a10000b10000d2019-09-04g576.14l0oQA402.35 .S73 2002p0000024385r2019-09-04 00:00:00t1v576.14w2019-09-04yOPEN  aVIRTUA40c35987d35993  aVTLSSORT0080*0200*0400*0900*2450*2600*3000*4900*5050*6500*6501*6502*7000*8300*9991