Jul 9, 2007 · In this paper, a high-order neural network (HONN) structure is used to approximate a control law designed by the backstepping technique, applied ...

Oct 22, 2024 · In this paper, a high-order neural network (HONN) structure is used to approximate a control law designed by the backstepping technique, applied ...

In this paper, a high-order neural network (HONN) structure is used to approximate a con- trol law designed by the backstepping technique, applied to a block.

In this paper, a high-order neural network (HONN) structure is used to approximate a control law designed by the backstepping technique, applied to a block ...

This paper deals with adaptive tracking for discrete-time multiple-input-multiple-output (MIMO) nonlinear systems in presence of bounded disturbances.

In this chapter, a high order neural network structure is used to approximate a control law designed by the backstepping technique, applied to a block strict ...

The purpose of this comment is to point out some mistakes in the above paper. It is shown that the main results of the paper cannot stand in general.

The purpose of this comment is to point out some mistakes in the above paper. It is shown that the main results of the paper cannot stand in general.

The purpose of this comment is to point out some mistakes in the above paper. It is shown that the main results of the paper cannot stand in general.

Presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs ... via Backstepping Design.