Summarization: In this paper a dynamic neural network (DNN)-based controller is constructed to provide the basis upon which a scheduler is developed to guarantee that system production will reach the required demand while satisfying buffer capacity constraints. Lyapunov stability theory is used to prove boundedness of all signals in the closed loop.Παρουσιάστηκε στο: Computers in Industr
An effective neural-based approach to production scheduling is proposed in the paper, which is apt f...
This paper presents the use of Neural Networks (NN) for transmission time scheduling for the Network...
Neural networks have been applied within manufacturing domains, in particular electronics industries...
Summarization: In this paper, a control aspect of the non-acyclic FMS scheduling problem is consider...
Summarization: Introduction -- 2. Survey of methods for production scheduling -- 3. Non-linear adap...
In this thesis we explore the use of neural networks to evaluate the performance of nonlinear system...
This is the author's version of the work. It is posted here by permission of Elsevier for personal u...
The paradigm of dynamic gain scheduling (DGS) is inspired by a biophysical model of the mammalian ba...
In this paper authors present the results of a research that had a purpose to develop a method of co...
The objective of this study is to develop a neural network based decision support system for selecti...
Summarization: In this paper the neuro adaptive scheduling methodology is evaluated by comparing its...
Summarization: A control aspect of the non-acyclic FMS scheduling problem is considered. Based on th...
Abstract — This paper considers the application of the neural networks for the guaranteed cost contr...
This paper demonstrates an optimal control solution to change of machine set-up scheduling based on ...
Μη διαθέσιμη περίληψηNot available summarizationΠαρουσιάστηκε στο: 5th IEEE Mediterranean Symposium ...
An effective neural-based approach to production scheduling is proposed in the paper, which is apt f...
This paper presents the use of Neural Networks (NN) for transmission time scheduling for the Network...
Neural networks have been applied within manufacturing domains, in particular electronics industries...
Summarization: In this paper, a control aspect of the non-acyclic FMS scheduling problem is consider...
Summarization: Introduction -- 2. Survey of methods for production scheduling -- 3. Non-linear adap...
In this thesis we explore the use of neural networks to evaluate the performance of nonlinear system...
This is the author's version of the work. It is posted here by permission of Elsevier for personal u...
The paradigm of dynamic gain scheduling (DGS) is inspired by a biophysical model of the mammalian ba...
In this paper authors present the results of a research that had a purpose to develop a method of co...
The objective of this study is to develop a neural network based decision support system for selecti...
Summarization: In this paper the neuro adaptive scheduling methodology is evaluated by comparing its...
Summarization: A control aspect of the non-acyclic FMS scheduling problem is considered. Based on th...
Abstract — This paper considers the application of the neural networks for the guaranteed cost contr...
This paper demonstrates an optimal control solution to change of machine set-up scheduling based on ...
Μη διαθέσιμη περίληψηNot available summarizationΠαρουσιάστηκε στο: 5th IEEE Mediterranean Symposium ...
An effective neural-based approach to production scheduling is proposed in the paper, which is apt f...
This paper presents the use of Neural Networks (NN) for transmission time scheduling for the Network...
Neural networks have been applied within manufacturing domains, in particular electronics industries...