LEADER 00000cam  2200589Mi 4500 
001    890379456 
003    OCoLC 
005    20201009145314.8 
006    m     o  d         
007    cr |n||||||||| 
008    140212e20130830xxka    o     000 0 eng d 
020    1466594195|q(electronic bk.) 
020    9781466594197|q(electronic bk.) 
024 7  10.1201/b15752|2doi 
035    (OCoLC)890379456|z(OCoLC)1027126304|z(OCoLC)1028230361
       |z(OCoLC)1058189754|z(OCoLC)1064505979|z(OCoLC)1119923931 
035    O'Reilly Online Learning: Academic/Public Library Edition 
       (SAML SSO Access) 
035    skip4alma 
037    1466594195|b00032882 
040    REB|beng|epn|cREB|dCOO|dEBLCP|dOCLCQ|dDEBSZ|dOCLCQ|dNLE
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       |dUKMGB|dOTZ|dTYFRS|dUKAHL|dNLW|dOCLCQ 
049    txum 
050  4 TJ217eb 
072  7 TEC|x009000|2bisacsh 
072  7 THRB|2bicscc 
100 1  Hou, Zhongsheng,|eauthor. 
245 10 Model Free Adaptive Control :|bTheory and Applications. 
260    |bCRC Press [Imprint],|cAug. 2013 ;|aAbingdon :|bTaylor & 
       Francis Group. 
300    1 online resource (399 pages) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
504    Includes bibliographical references and index. 
505 0  Introduction; Model-Based Control; Data-Driven Control; 
       Preview of the Book; Recursive Parameter Estimation for 
       Discrete-Time Systems; Introduction; Parameter Estimation 
       Algorithm for Linearly Parameterized Systems; Parameter 
       Estimation Algorithm for Nonlinearly Parameterized 
       Systems; Conclusions; Dynamic Linearization Approach of 
       Discrete-Time Nonlinear Systems; Introduction; SISO 
       Discrete-Time Nonlinear Systems; MIMO Discrete-Time 
       Nonlinear Systems; Conclusions; Model-Free Adaptive 
       Control of SISO Discrete-Time Nonlinear Systems; 
       Introduction; CFDL Data Model Based MFAC; PFDL Data Model 
       Based MFAC; FFDL Data Model Based MFAC; Conclusions; Model
       -Free Adaptive Control of MIMO Discrete-Time Nonlinear 
       Systems; Introduction; CFDL Data Model Based MFAC; PFDL 
       Data Model Based MFAC; FFDL Data Model Based MFAC; 
       Conclusions; Model-Free Adaptive Predictive. 
505 0  Control; Introduction; CFDL Data Model Based MFAPC; PFDL 
       Data Model Based MFAPC; FFDL Data Model Based MFAPC; 
       Conclusions; Model-Free Adaptive Iterative Learning 
       Control; Introduction; CFDL Data Model Based MFAILC; 
       Conclusions; Model-Free Adaptive Control for Complex 
       Connected Systems and Modularized Controller Design; 
       Introduction; MFAC for Complex Connected Systems; 
       Modularized Controller Design; Conclusions; Robustness of 
       Model-Free Adaptive Control; Introduction; MFAC in the 
       Presence of Output Measurement Noise; MFAC in the Presence
       of Data Dropouts; Conclusions; Symmetric Similarity for 
       Control System Design; Introduction; Symmetric Similarity 
       for Adaptive Control Design; Similarity between MFAC and 
       MFAILC; Similarity between Adaptive Control and Iterative 
       Learning Control; Conclusions; Applications; Introduction;
       Three-Tank Water System; Permanent Magnet Linear Motor; 
       Freeway. 
505 0  Traffic System; Welding Process; MW Grade Wind Turbine; 
       Conclusions; Conclusions and Perspectives; Conclusions; 
       Perspectives; References. 
506 1  Legal Deposit;|cOnly available on premises controlled by 
       the deposit library and to one user at any one time;|eThe 
       Legal Deposit Libraries (Non-Print Works) Regulations 
       (UK).|5WlAbNL 
506    Available only to authorized UTEP users. 
520 8  Annotation|bModel Free Adaptive Control (MFAC) is a novel 
       data driven adaptive control method which is quite 
       different from the traditional model based adaptive 
       control. Traditional control methods are applied based on 
       models, but modeling processes can become more and more 
       difficult as system size and complexity grow. Models can 
       also bring accuracy problems, and lack flexibility to deal
       with different systems. MFAC will enable readers to take 
       advantage of the huge amount of process data of modern 
       industrial systems and use them to control the process and
       system effectively. 
540    Restricted: Printing from this resource is governed by The
       Legal Deposit Libraries (Non-Print Works) Regulations (UK)
       and UK copyright law currently in force.|5WlAbNL 
650  0 Adaptive control systems. 
700 1  Jin, Shangtai,|eauthor. 
776 08 |iPrint version:|aHou, Zhongsheng.|tModel Free Adaptive 
       Control : Theory and Applications.|dBosa Roca : CRC Press,
       ©2013|z9781466594180 
856 40 |uhttps://go.oreilly.com/univ-texas-ep/library/view/-/
       9781466594197/?ar|zTo access this resource 
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