LEADER 03665nam 22006855 450 001 9910919818203321 005 20251113205050.0 010 $a9783031782664 010 $a3031782666 024 7 $a10.1007/978-3-031-78266-4 035 $a(CKB)37122250300041 035 $a(MiAaPQ)EBC31868113 035 $a(Au-PeEL)EBL31868113 035 $a(OCoLC)1493030803 035 $a(DE-He213)978-3-031-78266-4 035 $a(EXLCZ)9937122250300041 100 $a20250101d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAutomation 2024: Advances in Automation, Robotics and Measurement Techniques /$fedited by Roman Szewczyk, Cezary Zieli?ski, Ma?gorzata Kaliczy?ska, Vytautas Bu?inskas 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (374 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v1219 311 08$a9783031782657 311 08$a3031782658 327 $aResearch towards an optimal method of modeling and regulating a cement mill using AI algorithms -- New sliding hyperplane for achieving bounded output performance in DSMC -- Applicability of Fractional-Order PID Controllers for Twin Rotor Aerodynamic System Objects -- Employing Generative Artificial Intelligence in Replacement of Traditional Backend Systems -- Failure Modeling of Industrial Electric Motors using Unsupervised Learning Methods -- Automatic functional tests of cash registers -- Hyperspectral lighting design for industrial applications. 330 $aThis book presents the result of the most recent discussion among interdisciplinary specialists facing scientific and industrial challenges. The papers presented during the Automation 2024 Conference deal with applying artificial neural networks and other machine learning methods in perception, modelling, and control, utilization of fractional order systems, and novel sensors and measurement techniques. Recent developments in robotics and the quality of exerted control and optimization are also prominent in this volume. Specific aspects of the design of diverse robots and their modelling and control are described in depth. We strongly believe that the solutions and guidelines presented in this book will be useful to both researchers and engineers during the development of automation, robotics, and measurement systems in a rapidly changing global industry. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v1219 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aControl, Robotics, Automation 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aControl, Robotics, Automation. 615 24$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a629.8 700 $aSzewczyk$b Roman$01058366 701 $aZieli?ski$b Cezary$01781646 701 $aKaliczy?ska$b Ma?gorzata$01781647 701 $aBu?inskas$b Vytautas$01781648 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910919818203321 996 $aAutomation 2024: Advances in Automation, Robotics and Measurement Techniques$94462759 997 $aUNINA