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CDC
2008
IEEE
161views Control Systems» more  CDC 2008»
13 years 11 months ago
Stable adaptive neural network control of MIMO nonaffine nonlinear discrete-time systems
Lianfei Zhai, Tianyou Chai, Chenguang Yang, Shuzhi...
AUTOMATICA
2006
90views more  AUTOMATICA 2006»
13 years 4 months ago
An ISS-modular approach for adaptive neural control of pure-feedback systems
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback s...
Cong Wang, David J. Hill, S. S. Ge, Guanrong Chen
ESANN
2000
13 years 6 months ago
A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model
Using a nonlinear 15-state helicopter model in 6 DOF, two di erent neural control systems, both acting as rate damping, have been designed and compared. They are both based on the ...
Piero A. Gili, Manuela Battipede
TSMC
1998
135views more  TSMC 1998»
13 years 4 months ago
Universal stabilization using control Lyapunov functions, adaptive derivative feedback, and neural network approximators
— In this paper, the problem of stabilization of unknown nonlinear dynamical systems is considered. An adaptive feedback law is constructed that is based on the switching adaptiv...
Elias B. Kosmatopoulos
IJCNN
2000
IEEE
13 years 9 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan