02148oam 2200553zu 450 991087753720332120230617012520.00-470-01409-197866105541401-280-55414-2(CKB)111082128275138(SSID)ssj0000219832(PQKBManifestationID)11187131(PQKBTitleCode)TC0000219832(PQKBWorkID)10229628(PQKB)11391518(MiAaPQ)EBC4956896(Au-PeEL)EBL4956896(CaONFJC)MIL55414(OCoLC)1024249731(EXLCZ)9911108212827513820160829d2003 uy engurcnu||||||||txtccrPerformance of nonlinear approximate adaptive controllers[Place of publication not identified]John Wiley & Sons Incorporated20031 online resource (399 pages)Bibliographic Level Mode of Issuance: Monograph0-471-49809-2 0-470-84607-0 Non-linear adaptive control refers to automated systems with a degree of artificial intelligence. At the turn of the 21st century, there has been wide interest in non-linear adaptive control using approximate models, either for tracking or regulation, and usually under the banner of neural network based control. This book describes the approximate model philosophy and its setting, and rigorously compares the performance of such controls against competing models.Operations ResearchHILCCCivil & Environmental EngineeringHILCCEngineering & Applied SciencesHILCCOperations ResearchCivil & Environmental EngineeringEngineering & Applied Sciences621.3981French Mark941095Rogers EricSzepesvári CsabaPQKBBOOK9910877537203321Performance of nonlinear approximate adaptive controllers4186052UNINA