Trajectory tracking of wheeled mobile robots: A kinematical approach
MH Amoozgar, YM Zhang - … of 2012 IEEE/ASME 8th IEEE …, 2012 - ieeexplore.ieee.org
This paper presents a novel control approach for trajectory tracking control of nonholonomic
Wheeled Mobile Robots (WMRs) which is named “Lyapunov-based Guidance Control …
Wheeled Mobile Robots (WMRs) which is named “Lyapunov-based Guidance Control …
Optimal robot path planning with cellular neural network
This paper presents a new methodology based on neural dynamics for optimal robot path
planning by drawing an analogy between cellular neural network (CNN) and path planning …
planning by drawing an analogy between cellular neural network (CNN) and path planning …
Development of Fault Diagnosis and Fault Tolerant Control Algorithms with Application to Unmanned Systems
MH Amoozgar - 2012 - spectrum.library.concordia.ca
Unmanned vehicles have been increasingly employed in real life. They include unmanned
air vehicles (UAVs), unmanned ground vehicles (UGVs), unmanned spacecrafts, and …
air vehicles (UAVs), unmanned ground vehicles (UGVs), unmanned spacecrafts, and …
[PDF][PDF] 未知环境下一种移动机器人实时最优路径规划方法研究
曹政才， 温金涛， 吴启迪 - 电子学报, 2010 - ejournal.org.cn
针对未知环境下移动机器人的安全路径规划问题, 提出一种基于改进神经网络和模拟退火算法相
结合的方法. 神经网络表示机器人的工作空间, 通过BP 反向算法学**， 陈涛 - 船舶工程, 2014
结合的方法. 神经网络表示机器人的工作空间, 通过BP 反向算法学**， 陈涛 - 船舶工程, 2014