This paper describes how a neural network, structured as a Multi Layer Perceptron, is trained to predict, simulate and control a non-linear process
The modern stage of development of science and technology is characterized by a rapid increase in th...
In this paper the authors present two approaches for the control of an inverted pendulum on a cart. ...
The authors describe the use of neural nets to model and control a nonlinear second-order electromec...
Design and implementation are studied for a neural network-based predictive controller meant to gove...
Two neural networks are trained to act as an observer and a controller, respectively, to control a n...
The contribution is aimed at predictive control of nonlinear processes with the help of artificial n...
Purpose - To develop a new predictive control scheme based on neural networks for linear and non-lin...
A neural network based predictive controller design algorithm is introduced for nonlinear control sy...
This paper demonstrates a method to control a non-linear, multivariable, noisy process using trained...
ABSTRACT: Neural networks can be used to solve highly nonlinear control problems. This paper shows h...
Abstract: The present paper introduces a new algorithm for industrial processes by using neural netw...
This thesis describes the development and implementation of an on-line optimal predictive controller...
A neural network predictive control scheme is compared with a first principle model predictive contr...
The emergence of Artificial Neural Networks (ANNs) has rekindled interest in nonlinear control theor...
The paper develops important fundamental steps in applying artficial neural networks in the design o...
The modern stage of development of science and technology is characterized by a rapid increase in th...
In this paper the authors present two approaches for the control of an inverted pendulum on a cart. ...
The authors describe the use of neural nets to model and control a nonlinear second-order electromec...
Design and implementation are studied for a neural network-based predictive controller meant to gove...
Two neural networks are trained to act as an observer and a controller, respectively, to control a n...
The contribution is aimed at predictive control of nonlinear processes with the help of artificial n...
Purpose - To develop a new predictive control scheme based on neural networks for linear and non-lin...
A neural network based predictive controller design algorithm is introduced for nonlinear control sy...
This paper demonstrates a method to control a non-linear, multivariable, noisy process using trained...
ABSTRACT: Neural networks can be used to solve highly nonlinear control problems. This paper shows h...
Abstract: The present paper introduces a new algorithm for industrial processes by using neural netw...
This thesis describes the development and implementation of an on-line optimal predictive controller...
A neural network predictive control scheme is compared with a first principle model predictive contr...
The emergence of Artificial Neural Networks (ANNs) has rekindled interest in nonlinear control theor...
The paper develops important fundamental steps in applying artficial neural networks in the design o...
The modern stage of development of science and technology is characterized by a rapid increase in th...
In this paper the authors present two approaches for the control of an inverted pendulum on a cart. ...
The authors describe the use of neural nets to model and control a nonlinear second-order electromec...