Add to ORKGIncludes bibliographical references (p. 8).Supported by an Air Force Office of Scientific Research Graduate Fellowship. F49620-86-C-0127/SBF861-0436, subcontract S-789-000-056T.V. Theodosopoulos, M.S. Branicky, and M.M. Livstone
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...
This paper shows, how wellknown supervised learning techniques can be applied to learn control of un...
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...
Lately, there has been an extensive interest in the possible uses of neural networks for nonlinear s...
Lately, there has been an extensive interest in the possible uses of neural networks for nonlinear s...
Artificial neural networks offer some interesting possibilities for use in control. Our current rese...
This paper presents a discussion of the applicability of neural networks in the identification and c...
A time-varying learning algorithm for recurrent high order neural network in order to identify and c...
This paper presents a first attempt to relate the experimental studies to theoretical developments a...
The modern stage of development of science and technology is characterized by a rapid increase in th...
AbstractModels for the identification and control of nonlinear dynamical systems using neural networ...
The paper presents two learning methods for nonlinear system identification. Both methods employ neu...
Nonlinear system theory ideas have led to a method for approximating the dynamics of a nonlinear sys...
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...
This paper shows, how wellknown supervised learning techniques can be applied to learn control of un...
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...
Lately, there has been an extensive interest in the possible uses of neural networks for nonlinear s...
Lately, there has been an extensive interest in the possible uses of neural networks for nonlinear s...
Artificial neural networks offer some interesting possibilities for use in control. Our current rese...
This paper presents a discussion of the applicability of neural networks in the identification and c...
A time-varying learning algorithm for recurrent high order neural network in order to identify and c...
This paper presents a first attempt to relate the experimental studies to theoretical developments a...
The modern stage of development of science and technology is characterized by a rapid increase in th...
AbstractModels for the identification and control of nonlinear dynamical systems using neural networ...
The paper presents two learning methods for nonlinear system identification. Both methods employ neu...
Nonlinear system theory ideas have led to a method for approximating the dynamics of a nonlinear sys...
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...
This paper shows, how wellknown supervised learning techniques can be applied to learn control of un...
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...