Diagonal recurrent neural networks for parameters identification of terrain based on wheel–soil interaction analysis
暂无分享,去创建一个
Liang Ding | Zongquan Deng | Haibo Gao | Xingguo Song | Chen Chao | Z. Deng | L. Ding | Chen Chao | Xingguo Song | Haibo Gao
[1] Chee Kheong Siew,et al. Real-time learning capability of neural networks , 2006, IEEE Trans. Neural Networks.
[2] Simon Haykin,et al. Neural Networks and Learning Machines , 2010 .
[3] David Wettergreen,et al. Motion Analysis System for Robot Traction Device Evaluation and Design , 2012, FSR.
[4] Guangjun Liu,et al. Interaction Mechanics Model for Rigid Driving Wheels of Planetary Rovers Moving on Sandy Terrain with Consideration of Multiple Physical Effects , 2015, J. Field Robotics.
[5] Keiji Nagatani,et al. Experimental study and analysis on driving wheels' performance for planetary exploration rovers moving in deformable soil , 2011 .
[6] D. Yu,et al. Adaptation of diagonal recurrent neural network model , 2005, Neural Computing & Applications.
[7] Steven Dubowsky,et al. Online terrain parameter estimation for wheeled mobile robots with application to planetary rovers , 2004, IEEE Transactions on Robotics.
[8] Paris A. Mastorocostas,et al. A block-diagonal recurrent fuzzy neural network for system identification , 2009, Neural Computing and Applications.
[9] DingLiang,et al. Interaction Mechanics Model for Rigid Driving Wheels of Planetary Rovers Moving on Sandy Terrain with Consideration of Multiple Physical Effects , 2015 .
[10] Chenguang Yang,et al. Neural Network-Based Motion Control of an Underactuated Wheeled Inverted Pendulum Model , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[11] Michael Y. Hu,et al. Forecasting with artificial neural networks: The state of the art , 1997 .
[12] Jo Yung Wong,et al. Theory of ground vehicles , 1978 .
[13] Zongben Xu,et al. Approximation capability of interpolation neural networks , 2010, Neurocomputing.
[14] Laura E. Ray,et al. Estimation of net traction for differential-steered wheeled robots , 2009 .
[15] Kazuya Yoshida,et al. Parameter identification for planetary soil based on a decoupled analytical wheel-soil interaction terramechanics model , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[16] Yingchun Wang,et al. State estimation of recurrent neural networks with interval time-varying delay: an improved delay-dependent approach , 2012, Neural Computing and Applications.
[17] K. Iagnemma,et al. Terramechanics Modeling of Mars Surface Exploration Rovers for Simulation and Parameter Estimation , 2011 .
[18] Chenguang Yang,et al. Neural-Adaptive Output Feedback Control of a Class of Transportation Vehicles Based on Wheeled Inverted Pendulum Models , 2012, IEEE Transactions on Control Systems Technology.
[19] Dianhui Wang,et al. Global Convergence of Online BP Training With Dynamic Learning Rate , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[20] Frank L. Lewis,et al. Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks , 2013, IEEE Transactions on Neural Networks and Learning Systems.
[21] Bong-Jin Yum,et al. Artificial neural network based approach for dynamic parameter design , 2011, Expert Syst. Appl..