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1887

Jiangsu Annual Conference on Automation (JACA 2020)

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  • Location: Zhenjiang, Jiangsu Province, China
  • Conference date: 13-15 November 2020
  • ISBN: 978-1-83953-563-5
  • Conference number: CP782
  • The following topics are dealt with: Control theory and applications; Intelligent robots; Servo and motion control; Intelligent optimization and application; Industrial automation; Agricultural automation; Internet of things and control; Stochastic and nonlinear system control; Navigation, guidance and control; Smart city-building automation; Fault diagnosis and health management; Intelligent manufacturing; Pattern recognition; Complex network control; Process control; Multi-agent system control; Power electronics system control; Sensing and measurement; Big data and knowledge automation; Intelligent computing and machine learning; Deep learning; Aircraft control; Vehicle control; New energy control and energy saving technology; Image processing and computer vision; Smart grid control systems.

14 items found

  • PLANT LEAF SEGMENTATION USING A REFINED FULLY CONVOLUTIONAL NETWORK
  • A FAST FINGERTIP DETECTOR BASED ON THE CHORD-TO-POINT DISTANCE ACCUMULATION TECHNIQUE
  • A DEEP TRANSFER LEARNING BASE FAULT DIAGNOSIS METHOD FOR DIESEL GENERATOR
  • UNKNOWN-FREQUENCY HARMONIC DISTURBANCE ESTIMATION BASED SPEED REGULATION FOR SINGLE-FRAME CONTROL MOMENT GYROSCOPE
  • Predictive sliding mode tracking control of hypersonic vehicle based on disturbance observer
  • RESEARCH ON INSULATION MONITORING METHOD OF MARINE POWER SYSTEM BASED ON DIELECTRIC LOSS FACTOR
  • An Improved KPCA-DBN Based Bearing Fault Diagnosis
  • Event-based non-fragile synchronization control for T-S fuzzy neural systems with cyber-attacks
  • ENGAGEMENT PREDICTION AND VISUALIZATION IN ONLINELEARNING
  • Parallel decomposition of Boolean control networks
  • Fault-Tolerant Formation Control for Multiple Quadrotor Systems Based on Nonlinear Fault Estimation
  • Design of an Intelligent Cloud Elevator Control System
  • DESIGN AND IMPLEMENTATION OF ELEVATOR CLOUD MONITORING SYSTEM
  • A NEW IMAGE DENOISING METHOD BASED ON STEER KETNEL REGRESSION
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