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首页> 外文会议>International Conference on Intelligent System and Applied Material >Optimal Adjustment Control of SISO Nonlinear Systems Based on Multi-dimensional Taylor Network Only by Output Feedback
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Optimal Adjustment Control of SISO Nonlinear Systems Based on Multi-dimensional Taylor Network Only by Output Feedback

机译：基于多维泰勒网络的Siso非线性系统仅通过输出反馈的最佳调整控制

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摘要

On the basis of the original multi-dimensional Taylor network, the control input item is added to constitute the nonlinear dynamic model, which is used to optimally control SISO nonlinear system only by output feedback without both meeting the Lipschitz condition and needing the state observer or the system disturbance estimation. Parameters of the multi-dimensional network with the control input item are trained by the conjugate gradient method. Through the simulation, it is demonstrated that the multi-dimensional Taylor network used as the optimal SISO nonlinear system regulator is effective.
机译：在原始多维泰勒网络的基础上，添加了控制输入项目来构成非线性动态模型，该模型仅通过输出反馈来最佳地控制Siso非线性系统，而无需满足Lipschitz条件并需要状态观察者或系统干扰估计。具有控制输入项的多维网络的参数由共轭梯度方法训练。通过模拟，证明了用作最佳SISO非线性系统调节器的多维泰勒网络是有效的。

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