03445nam 2200493 450 991054729990332120221001130546.03-030-94289-9(MiAaPQ)EBC6891268(Au-PeEL)EBL6891268(CKB)21250897900041(PPN)260828173(EXLCZ)992125089790004120221001d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvanced control methodologies for power converter systems /Wensheng Luo [and four others]Cham, Switzerland :Springer,[2022]©20221 online resource (218 pages) illustrations (chiefly color)Studies in systems, decision and controlv.413Print version: Luo, Wensheng Advanced Control Methodologies for Power Converter Systems Cham : Springer International Publishing AG,c2022 9783030942885 Includes bibliographical references and index.Introduction State Estimation and Control of Three-Phase Two-Level Converters via Sliding Mode Adaptive Control of Buck Converters Conclusion and Further WorkThis book aims to present some advanced control methodologies for power converters. Power electronic converters have become indispensable devices for plenty of industrial applications over the last decades. Composed by controllable power switches, they can be controlled by effective strategies to achieve desirable transient response and steady-state performance, to ensure the stability, reliability and safety of the system. The most popular control strategy of power converters is the linear proportional-integral-derivative series control which is adopted as industry standard. However, when there exist parameter changes, nonlinearities and load disturbances in the system, the performance of the controller will be significantly degraded. To overcome this problem, many advanced control methodologies and techniques have been developed to improve the converter performance. This book presents the research work on some advanced control methodologies for several types of power converters, including three-phase two-level AC/DC power converter, three-phase NPC AC/DC power converter, and DC/DC buck converter. The effectiveness and advantage of the proposed control strategies are verified via simulations and experiments. The content of this book can be divided into two parts. The first part focuses on disturbance observer-based control methods for power converters under investigation. The second part investigates intelligent control methods. These methodologies provide a framework for controller design, observer design, stability and performance analysis for the considered power converter systems.Studies in systems, decision and control413.Electric current convertersArtificial intelligenceAutomatic controlElectric current converters.Artificial intelligence.Automatic control.621.313Luo Wensheng1207283MiAaPQMiAaPQMiAaPQBOOK9910547299903321Advanced control methodologies for power converter systems2921115UNINA01838nam0 22004573i 450 VAN0026856820250227114733.193N978146156574120231207d1983 |0itac50 baengUS|||| |||||Brownian Motion and DiffusionDavid FreedmanNew YorkSpringer-Verlag1983xii, 231 p.ill.24 cmOriginally published by Holden-Day Inc., 197158J65Diffusion processes and stochastic analysis on manifolds [MSC 2020]VANC021551MF60J60Diffusion processes [MSC 2020]VANC021477MF60J65Brownian motion [MSC 2020]VANC020038MF60JxxMarkov processes [MSC 2020]VANC019842MFBrownian MotionKW:KDiffusionKW:KDiffusion ProcessesKW:KLaw of the iterated logarithmsKW:KLocal timeKW:KMarkov ChainsKW:KMarkov ProcessesKW:KMartingalesKW:KMotionKW:KVarianceKW:KUSNew YorkVANL000011FreedmanDavidVANV220536534682Springer <editore>VANV108073650ITSOL20250228RICAhttps://doi.org/10.1007/978-1-4615-6574-1E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00268568BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 7602 08eMF7602 20231211 Brownian motion and diffusion911676UNICAMPANIA