2017/9/20 上午 04:49:07
瀏覽人次 36,120
Dynamic Parameter Identification of Autonomous Underwater Vehicles using Structured Laser Light, Decoupled Dynamics, and Evolutionary Optimization
  • This research proposes a new hybrid method, which integrates the structured laser light, decoupled dynamic models, and evolutionary optimization strategy, to identify dynamic parameters of autonomous underwater vehicles. This is the first research that investigates the utilization of laser scanned images for the system identification of underwater vehicles.

A Multi-Agent Autonomic System supporting Computational Fluid Dynamics Simulation based System Identification for Underwater Vehicles
Multi-Agent Itinerary Planning in Wireless Sensor Networks
Evolutionary Design Optimization for Active Magnetic Bearings
Heterogeneous Paralleling Computing with CUDA
Vision-Based Mobile Target Tracking
Multi-Level Based Signal Monitoring and Analysis
System Reliability Analysis for Multi-State Flow Network
Bio-Inspired Agent-Based Job Shop Scheduling
Web-Based System for Engineering Education
Distributed Parallel Computing in C
Embeddable Mobile Agent System
Mobile Agent-Based Computational Steering