Adaptive Neural Network Controller Design for Missile Systems with Unmodeled Dynamics

An adaptive inverse compensator design method was proposed for a class of nonlinear systems with input ummodeled dynamics based on RBF neural networks. The compensator was designed using two neural networks, one to estimate the input unmodeled dynamics and another to provide adaptive inverse compens...

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Bibliographische Detailangaben

Hauptverfasser:	Jin, Y.Q., Shi, X.J., Hu, Y.A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptive control adaptive inverse Adaptive systems Backstepping Control systems Design methodology Input unmodeled dynamics Missiles Neural networks Nonlinear dynamical systems Nonlinear systems Programmable control
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