Application of Nl Q Neural Control Theory to a Ball and Beam System 1 Application of Nl Q Neural Control Theory to a Ball and Beam System
نویسندگان
چکیده
This paper is a straightforward application of NLq stability criteria to neural model based controller design. We discuss the design of a linear dynamic output feedback controller for a ball and beam system for which a neural state space model is identi ed. This is done by applying dynamic backpropagation, constrained by internal or I/O stability conditions for NLq systems. The performance of the controller has been tested both by computer simulations and on a real ball and beam set-up.
منابع مشابه
NLq NEURAL CONTROL THEORY: CASE STUDY FOR A BALL AND BEAM SYSTEM
In this paper we design a linear dynamic output feedback controller for a ball and beam system based on an iden-tiied neural state space model. This is done by applying dynamic backpropagation, constrained by NL q internal or I/O stability conditions. The performance of the controller has been tested on a real ball and beam setup .
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