LEADER 03644nam 22006855 450 001 9910726293203321 005 20250610110055.0 010 $a9783031285974 010 $a3031285972 024 7 $a10.1007/978-3-031-28597-4 035 $a(CKB)26748746000041 035 $a(MiAaPQ)EBC7248761 035 $a(Au-PeEL)EBL7248761 035 $a(DE-He213)978-3-031-28597-4 035 $a(BIP)088672521 035 $a(PPN)27061298X 035 $a(MiAaPQ)EBC7248547 035 $a(EXLCZ)9926748746000041 100 $a20230511d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Beam Control in Accelerators /$fby Zheqiao Geng, Stefan Simrock 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (164 pages) 225 1 $aParticle Acceleration and Detection,$x2365-0877 311 08$a9783031285967 311 08$a3031285964 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Beam feedback control -- Beam optimizations -- Machine learning for beam control. 330 $aThis book systematically discusses the algorithms and principles for achieving stable and optimal beam (or products of the beam) parameters in particle accelerators. A four-layer beam control strategy is introduced to structure the subsystems related to beam controls, such as beam device control, beam feedback, and beam optimization. This book focuses on the global control and optimization layers. As a basis of global control, the beam feedback system regulates the beam parameters against disturbances and stabilizes them around the setpoints. The global optimization algorithms, such as the robust conjugate direction search algorithm, genetic algorithm, and particle swarm optimization algorithm, are at the top layer, determining the feedback setpoints for optimal beam qualities. In addition, the authors also introduce the applications of machine learning for beam controls. Selected machine learning algorithms, such as supervised learning based on artificial neural networks and Gaussian processes, and reinforcement learning, are discussed. They are applied to configure feedback loops, accelerate global optimizations, and directly synthesize optimal controllers. Authors also demonstrate the effectiveness of these algorithms using either simulation or tests at the SwissFEL. With this book, the readers gain systematic knowledge of intelligent beam controls and learn the layered architecture guiding the design of practical beam control systems. 410 0$aParticle Acceleration and Detection,$x2365-0877 606 $aParticle accelerators 606 $aArtificial intelligence 606 $aMeasurement 606 $aMeasuring instruments 606 $aAccelerator Physics 606 $aArtificial Intelligence 606 $aMeasurement Science and Instrumentation 615 0$aParticle accelerators. 615 0$aArtificial intelligence. 615 0$aMeasurement. 615 0$aMeasuring instruments. 615 14$aAccelerator Physics. 615 24$aArtificial Intelligence. 615 24$aMeasurement Science and Instrumentation. 676 $a410 676 $a539.73 700 $aGeng$b Zheqiao$01366120 702 $aSimrock$b Stefan 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910726293203321 996 $aIntelligent beam control in accelerators$93419644 997 $aUNINA