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A new model reference adaptive control design method using neural networks that improves both transient and steady-state performance is proposed in this paper. Stable tracking of a desired trajectory can be achieved for nonlinear systems having significant uncertainties. An uncertainty-state observer structure is designed to achieve desired transient performance. The neural network adaptation rule...
A new model reference adaptive control design method using neural networks that improves both transient and steady stage performance is proposed in this paper. Stable tracking of a desired trajectory can be achieved for nonlinear systems having significant uncertainties. A modified state observer structure is designed to enable desired transient performance during uncertainty learning. The neural...
Risk analysis of tunnel lining is a vital and complex problem. This paper presents a metrology for risk analysis of tunnel lining by employing fault tree theory and entropy measurement. Some risk factors of tunnel lining are first identified. A lining fault tree analysis model is then established. Next, the entropy and entropy weight are applied to the risk analysis of tunnel lining. Finally, a definition...
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