04095nam a22006015i 4500 978-981-97-8654-1 DE-He213 20251030113247.0 cr nn 008mamaa 241026s2024 si | s |||| 0|eng d 9789819786541 978-981-97-8654-1 10.1007/978-981-97-8654-1 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Proceedings of 2024 Chinese Intelligent Systems Conference [electronic resource] : Volume II / edited by Yingmin Jia, Weicun Zhang, Yongling Fu, Huihua Yang. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. X, 677 p. 374 illus., 306 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Electrical Engineering, 1876-1119 ; 1284 -- 1 Design of IIR fractional order digital differentiators using Iterative Convex Optimization algorithm. -- 2 Online Learning Algorithm for Multi-agent Noncooperative Games. -- 3 Knowledge Graph Construction for Patent Information in Offshore Wind Power Field. -- 4 Modeling of Interval Type-2 Fuzzy Logic System by Semi-Tensor Product. -- 5 Robust Adaptive Control of Missiles Based on Fuzzy RBF Neural Network. -- 6 Deep Reinforcement Learning of Physically Simulated Character Control. -- 7 The Game of Degree of Target-Attacker-Defender Game With Non-zero Capture Radius. -- 8 Visual inertial 3D reconstruction system based on KLT optical flow and voxel hash. -- 9 Analysis of students’ class status based on deep learning, etc. This book constitutes the proceedings of the 20th Chinese Intelligent Systems Conference, CISC 2024, which was held on October 26–27, 2024, in Guilin, Guangxi, China. The book focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth studies of a number of important topics such as multi-agent systems, complex networks, intelligent robots, complex systems theory and swarm behaviour, event-driven and data-driven control, robust and adaptive control, big data and brain science, process control, intelligent sensors and detection technology, deep learning and learning control, navigation and control of flying vehicles, and so on. The book is particularly suitable for readers interested in learning intelligent systems and control and artificial intelligence. The book can benefit researchers, engineers and graduate students. Computational intelligence. 64052 Control engineering. Robotics. 59148 Automation. 59149 Artificial intelligence. 58441 Computational Intelligence. 64052 Control, Robotics, Automation. Artificial Intelligence. 58441 Jia, Yingmin. editor. edt http://id.loc.gov/vocabulary/relators/edt 86540 Zhang, Weicun. editor. edt http://id.loc.gov/vocabulary/relators/edt 70110 Fu, Yongling. editor. edt http://id.loc.gov/vocabulary/relators/edt 86541 Yang, Huihua. editor. edt http://id.loc.gov/vocabulary/relators/edt 86542 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819786534 Printed edition: 9789819786558 Printed edition: 9789819786565 Lecture Notes in Electrical Engineering, 1876-1119 ; 1284 https://doi.org/10.1007/978-981-97-8654-1 ZDB-2-INR ZDB-2-SXIT 64519 64519