Introduction, Concepts and Preliminaries
暂无分享,去创建一个
[1] Jun Wang,et al. A recurrent neural network for solving Sylvester equation with time-varying coefficients , 2002, IEEE Trans. Neural Networks.
[2] P. Kokotovic,et al. Nonlinear control via approximate input-output linearization: the ball and beam example , 1992 .
[3] Ke Chen,et al. Cyclic motion generation of multi-link planar robot performing square end-effector trajectory analyzed via gradient-descent and Zhang et al’s neural-dynamic methods , 2008, 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics.
[4] Frank L. Lewis,et al. Optimal Control: Lewis/Optimal Control 3e , 2012 .
[5] Bolin Liao,et al. Control of pendulum tracking (including swinging up) of IPC system using zeroing-gradient method , 2017 .
[6] Ren Jing-ya. Framework and Outlook of ZG Control Method for Multiple-Input and Multiple-Output Nonlinear Systems , 2014 .
[7] Yunong Zhang,et al. Zhang Neural Networks and Neural-Dynamic Method , 2011 .
[8] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[9] Yunong Zhang,et al. Zhang Neural Network Versus Gradient Neural Network for Solving Time-Varying Linear Inequalities , 2011, IEEE Transactions on Neural Networks.
[10] Sergio M. Savaresi,et al. Approximate linearization via feedback - an overview , 2001, Autom..
[11] Yunong Zhang,et al. Comparison on Gradient-Based Neural Dynamics and Zhang Neural Dynamics for Online Solution of Nonlinear Equations , 2008, ISICA.
[12] Chitralekha Mahanta,et al. Integral backstepping sliding mode control for underactuated systems: swing-up and stabilization of the Cart-Pendulum System. , 2013, ISA transactions.
[13] Dongsheng Guo,et al. Zhang-gradient tracking controllers of Z1G0 and Z1G1 types for time-invariant linear systems , 2012, Proceedings of 2012 2nd International Conference on Computer Science and Network Technology.
[14] Long Jin,et al. Continuous and discrete Zhang dynamics for real-time varying nonlinear optimization , 2015, Numerical Algorithms.
[15] Long Jin,et al. Tracking control of modified Lorenz nonlinear system using ZG neural dynamics with additive input or mixed inputs , 2016, Neurocomputing.
[16] Yunong Zhang,et al. Zeroing Dynamics, Gradient Dynamics, and Newton Iterations , 2015 .
[17] Daniel Honc,et al. Inverted Pendulum Optimal Control Based on First Principle Model , 2016, CSOC.
[18] Yunong Zhang,et al. Controller design of nonlinear system for fully trackable and partially trackable paths by combining ZD and GD , 2013, 2013 25th Chinese Control and Decision Conference (CCDC).
[19] Xinmin Liu,et al. On the backstepping design procedure for multiple input nonlinear systems , 2012 .
[20] Ke Chen,et al. Performance Analysis of Gradient Neural Network Exploited for Online Time-Varying Matrix Inversion , 2009, IEEE Transactions on Automatic Control.
[21] A. Isidori. Nonlinear Control Systems: An Introduction , 1986 .
[22] S. Shankar Sastry,et al. Switching through singularities , 1998 .
[23] Yunong Zhang,et al. Using GD to conquer the singularity problem of conventional controller for output tracking of nonlinear system of a class , 2013 .
[24] Weiping Li,et al. Applied Nonlinear Control , 1991 .
[25] Yunong Zhang,et al. Zhang Functions and Various Models , 2015 .
[26] Zhen Li,et al. Z-type and G-type models for time-varying inverse square root (TVISR) solving , 2013, Soft Comput..
[27] Long Jin,et al. GD-aided IOL (input–output linearisation) controller for handling affine-form nonlinear system with loose condition on relative degree , 2016, Int. J. Control.
[28] Yunong Zhang,et al. Performance analysis of gradient neural network exploited for online time-varying quadratic minimization and equality-constrained quadratic programming , 2011, Neurocomputing.