Adaptive control: stability, convergence, and robustness
Adaptive control: stability, convergence, and robustness
Nonlinear control systems: an introduction (2nd ed.)
Nonlinear control systems: an introduction (2nd ed.)
Neural networks for control
Nonlinear systems analysis (2nd ed.)
Nonlinear systems analysis (2nd ed.)
Artificial Neural Networks for Modelling and Control of Non-Linear Systems
Artificial Neural Networks for Modelling and Control of Non-Linear Systems
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In this paper, a robust stability analysis method for feedback linearization using neural networks is presented. The robust regulation problem of nonlinear system with external disturbance is considered. The feedforward neural networks with one hidden layer are used to approximate the uncertain nonlinear system. The approximation errors are treated as the structured uncertainties with the known bounds. For these external disturbance and structured uncertainties, stability robustness of the closed system is analyzed in both input-output sense and Lyapunov sense.