Proceedings of 2022 Chinese Intelligent Systems Conference : Volume I / edited by Yingmin Jia, Weicun Zhang, Yongling Fu, Shoujun Zhao

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Electrical Engineering ; 950Publisher: Singapore : Springer Nature Singapore, 2022Publisher: Singapore : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(XII, 904 p. 504 illus., 389 illus. in color.)ISBN:

9789811962035

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Additional physical formats: 9789811962028 | 9789811962042 | 9789811962059 | Erscheint auch als: 9789811962028 Druck-Ausgabe | Erscheint auch als: 9789811962042 Druck-Ausgabe | Erscheint auch als: 9789811962059 Druck-AusgabeDOI: DOI: 10.1007/978-981-19-6203-5Online resources:

Summary: Controller design and analysis of multi-agent linear systems based on H∞ index -- Thermal Reliability Evaluation of IGBT for Aerospace Electromechanical Servo System -- A Method of Simulating SPI Interface Based on General GPIO -- Multi-Species Generalized Rock-Paper-Scissors Model based on Cyclic Dominant Mechanism -- Adaptive Sliding Mode Control of An USV Based on Neural Network -- Event-triggered Adaptive Neural Control for Uncertain Constrained Nonlinear Systems -- Research on the scheduling of order splitting batch microwave module shops -- Epidemic prevention and control system of rail transit station -- Robust Lateral Tracking Control of a Nonholonomic Mobile Robot -- Two-Dimensional Correction Control of Ultrasonic Motor for Mortar Bomb.Summary: This book constitutes the proceedings of the 18th Chinese Intelligent Systems Conference, CISC 2022, which was held during October 15–16, 2022, in Beijing, China. The papers in these proceedings deal with various topics in the field of intelligent systems and control, such as multi-agent systems, complex networks, intelligent robots, complex system theory and swarm behavior, event-triggered control and data-driven control, robust and adaptive control, big data and brain science, process control, intelligent sensor and detection technology, deep learning and learning control guidance, navigation and control of aerial vehicles. .PPN: PPN: 1817571052Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS

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