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[null,"1.","Record Nr.",null,"UNINA9910789465203321"]
[null,null,"Autore",null,"Hou Zhongsheng"]
[null,null,"Titolo",null,"Model free adaptive control : theory and applications / / by Zhongsheng Hou and Shangtai Jin"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2013"]
[null,null,"ISBN",null,"0-429-16547-1"]
[{"$nulls":4},"1-4665-9418-7"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (396 p.)"]
[null,null,"Disciplina",null,"629.8/36"]
[{"$nulls":4},"629.836"]
[null,null,"Soggetti",null,"Adaptive control systems"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Front Cover; Contents; Preface; Authors; Symbols; Acronyms; Chapter 1: Introduction; Chapter 2: Recursive Parameter Estimation for Discrete-Time Systems; Chapter 3: Dynamic Linearization Approach of Discrete-Time Nonlinear Systems; Chapter 4: Model-Free Adaptive Control of SISO Discrete-Time Nonlinear Systems; Chapter 5: Model-Free Adaptive Control of MIMO Discrete-Time Nonlinear Systems; Chapter 6: Model-Free Adaptive Predictive Control; Chapter 7: Model-Free Adaptive Iterative Learning Control"]
[{"$nulls":4},"Chapter 8: Model-Free Adaptive Control for Complex Connected Systems and Modularized Controller DesignChapter 9: Robustness of Model-Free Adaptive Control; Chapter 10: Symmetric Similarity for Control System Design; Chapter 11: Applications; Chapter 12: Conclusions and Perspectives; References; Back Cover"]
[null,null,null,"Sommario/riassunto","Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC) MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and output data of the controlled plant, which makes it more applicable for many practical plants."]