01336nam0 22002771i 450 UON0016018220231205103004.32120020523f |0itac50 baaraLY|||| |||||Manoscritto arabo 32Manoscritto omogeneocc. I, 1v-145v, II c. ; 21,5x15 cmTesto in scrittura orientale maghrebina in inchiostro nero con rubriche in rosso su 23 righeMICRO FILM 68UON00244156ex inv. illegibileIT-UONSI MSARA/051 IBA001UON002441562001 Microfilm n. 5 di manoscritti arabi della Biblioteca 'Maurizio Taddei', Napoli: MS ARA 228; 45; 46; 47; 48; 178; 179; 180; 181; 183; 184; 185; 190; 191; 41; 42; 43; 44; 51; 49; 50; 21; 22210 NapoliCanonab2003215 2810 fotogrammi16 mmMS ARA 51 MICRO FILM 68MANOSCRITTI IBADITIUONC086363FIMANOSCRITTIManoscrittiAITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00160182SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI MS ARA 051 IBA SI SA 105081 7 051 IBA ex inv. illegibileManoscritto arabo 321284278UNIOR03644nam 22006855 450 991072629320332120250610110055.09783031285974303128597210.1007/978-3-031-28597-4(CKB)26748746000041(MiAaPQ)EBC7248761(Au-PeEL)EBL7248761(DE-He213)978-3-031-28597-4(BIP)088672521(PPN)27061298X(MiAaPQ)EBC7248547(EXLCZ)992674874600004120230511d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntelligent Beam Control in Accelerators /by Zheqiao Geng, Stefan Simrock1st ed. 2023.Cham :Springer International Publishing :Imprint: Springer,2023.1 online resource (164 pages)Particle Acceleration and Detection,2365-08779783031285967 3031285964 Includes bibliographical references and index.Introduction -- Beam feedback control -- Beam optimizations -- Machine learning for beam control.This book systematically discusses the algorithms and principles for achieving stable and optimal beam (or products of the beam) parameters in particle accelerators. A four-layer beam control strategy is introduced to structure the subsystems related to beam controls, such as beam device control, beam feedback, and beam optimization. This book focuses on the global control and optimization layers. As a basis of global control, the beam feedback system regulates the beam parameters against disturbances and stabilizes them around the setpoints. The global optimization algorithms, such as the robust conjugate direction search algorithm, genetic algorithm, and particle swarm optimization algorithm, are at the top layer, determining the feedback setpoints for optimal beam qualities. In addition, the authors also introduce the applications of machine learning for beam controls. Selected machine learning algorithms, such as supervised learning based on artificial neural networks and Gaussian processes, and reinforcement learning, are discussed. They are applied to configure feedback loops, accelerate global optimizations, and directly synthesize optimal controllers. Authors also demonstrate the effectiveness of these algorithms using either simulation or tests at the SwissFEL. With this book, the readers gain systematic knowledge of intelligent beam controls and learn the layered architecture guiding the design of practical beam control systems.Particle Acceleration and Detection,2365-0877Particle acceleratorsArtificial intelligenceMeasurementMeasuring instrumentsAccelerator PhysicsArtificial IntelligenceMeasurement Science and InstrumentationParticle accelerators.Artificial intelligence.Measurement.Measuring instruments.Accelerator Physics.Artificial Intelligence.Measurement Science and Instrumentation.410539.73Geng Zheqiao1366120Simrock StefanMiAaPQMiAaPQMiAaPQBOOK9910726293203321Intelligent beam control in accelerators3419644UNINA