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首页> 外文期刊>International Journal of Advanced Mechatronic Systems >Neural networks-based adaptive robust controllers and its applications to water pollution control systems
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Neural networks-based adaptive robust controllers and its applications to water pollution control systems

机译：基于神经网络的自适应鲁棒控制器及其在水污染控制系统中的应用

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摘要

The problem of robust stabilisation of uncertain dynamical systems with non-linear state perturbations is considered. In this paper, the neural networks (NNs) is used to approximate the unknown system dynamics to be a special form, and an adaptation law is employed to estimate the norm of the NNs weight and approximation error. By making use of the updated values of the norm of weight and approximation error, an adaptive robust state feedback control scheme is proposed for such a class of uncertain non-linear systems. It is also shown that by employing the proposed adaptive robust controllers, the state trajectories of uncertain non-linear systems can be guaranteed to be uniformly ultimately bounded. Finally, to demonstrate the validity of the result, we apply it to solve a practical problem of water pollution.
机译：考虑具有非线性状态摄动的不确定动力系统的鲁棒镇定问题。本文将神经网络（NNs）用于近似未知系统动力学，并将其作为一种特殊形式，并采用自适应律来估计NNs权重和近似误差的范数。通过利用权重和近似误差范数的更新值，针对此类不确定的非线性系统提出了一种自适应鲁棒状态反馈控制方案。还表明，通过采用所提出的自适应鲁棒控制器，可以确保不确定的非线性系统的状态轨迹被一致地最终限制。最后，为了证明结果的有效性，我们将其应用于解决水污染的实际问题。

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