In this chapter real time implementation is presented in order to validate the theoretical results discussed in previous chapters. The results presented in this chapter include the Neural Network Identification scheme presented in Chap. 4, the RHONO presented in Chap. 5, the Neural Backstepping Approach analyzed in Chap. 3, the Neural Bock Control Technique discussed in Chap. 4 and the modifications of the last two controllers treated in Chap. 6 to include the RHONO. All these applications was performed using a three phase induction motor. � 2008 Springer-Verlag Berlin Heidelberg
9th International Work-Conference on Artificial Neural Networks, IWANN 2007 --20 June 2007 through 2...
Since power electronics converters behave nonlinear, conventional control strategies such as PID are...
In this paper, real-time results for a novel continuous-time adaptive tracking controller algorithm ...
In this chapter real time implementation is presented in order to validate the theoretical results d...
This brief focuses on real-time implementation, as applied to a three-phase induction motor, of resu...
This paper deals with real-time adaptive tracking for discrete-time induction motors in the presence...
This work presents a real-time discrete nonlinear neural identifier based on a Recurrent High Order ...
This work presents a real-time discrete nonlinear neural identifier based on a Recurrent High Order ...
This paper deals with adaptive tracking for discrete-time MIMO nonlinear systems in presence of boun...
This paper introduces the use of hardware implementation of a real time neural network controller se...
grantor: University of TorontoThis thesis outlines the development and implementation of a...
grantor: University of TorontoThis thesis outlines the development and implementation of a...
A reduced order state estimator based on recurrent high-order neural networks (RHONN) trained using ...
Abstract: Recently there has been increasing interest in the development of efficient control strate...
This paper deals with real-time discrete adaptive output trajectory tracking for induction motors in...
9th International Work-Conference on Artificial Neural Networks, IWANN 2007 --20 June 2007 through 2...
Since power electronics converters behave nonlinear, conventional control strategies such as PID are...
In this paper, real-time results for a novel continuous-time adaptive tracking controller algorithm ...
In this chapter real time implementation is presented in order to validate the theoretical results d...
This brief focuses on real-time implementation, as applied to a three-phase induction motor, of resu...
This paper deals with real-time adaptive tracking for discrete-time induction motors in the presence...
This work presents a real-time discrete nonlinear neural identifier based on a Recurrent High Order ...
This work presents a real-time discrete nonlinear neural identifier based on a Recurrent High Order ...
This paper deals with adaptive tracking for discrete-time MIMO nonlinear systems in presence of boun...
This paper introduces the use of hardware implementation of a real time neural network controller se...
grantor: University of TorontoThis thesis outlines the development and implementation of a...
grantor: University of TorontoThis thesis outlines the development and implementation of a...
A reduced order state estimator based on recurrent high-order neural networks (RHONN) trained using ...
Abstract: Recently there has been increasing interest in the development of efficient control strate...
This paper deals with real-time discrete adaptive output trajectory tracking for induction motors in...
9th International Work-Conference on Artificial Neural Networks, IWANN 2007 --20 June 2007 through 2...
Since power electronics converters behave nonlinear, conventional control strategies such as PID are...
In this paper, real-time results for a novel continuous-time adaptive tracking controller algorithm ...