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ANN-based feedback linearization for MIMO systems

Hossam Fattah, A.F. Sakr, A. Bahgat

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Abstract

This paper addresses the problem of feedback linearization of nonlinear systems. The existing linearization methods require complete knowledge of the system model. A new method for feedback linearization, avoiding this requirement which is rarely satisfied in practice, is proposed. The method is based on artificial neural networks (ANNs). Simulation results show satisfactory performance when the proposed ANN-based feedback linearization is included in a tracking control system.

About this research paper

What this paper is about

This paper addresses the problem of feedback linearization of nonlinear systems. The existing linearization methods require complete knowledge of the system model. A new method for feedback linearization, avoiding this requirement which is rarely satisfied in practice, is proposed. The method is based on artificial neural networks (ANNs). Simulation results show satisfactory performance when the proposed ANN-based feedback linearization is included in a tracking control system.

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Available abstract

This paper addresses the problem of feedback linearization of nonlinear systems. The existing linearization methods require complete knowledge of the system model. A new method for feedback linearization, avoiding this requirement which is rarely satisfied in practice, is proposed. The method is based on artificial neural networks (ANNs). Simulation results show satisfactory performance when the proposed ANN-based feedback linearization is included in a tracking control system.

Key concepts: Feedback linearization, Linearization, Control theory (sociology), Computer science, Nonlinear system, MIMO, Artificial neural network, Control engineering

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