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Nonlinear model-predictive control of Wiener-type systems in continuous-time domain using a fuzzy-system function approximation

机译:使用模糊系统函数近似的连续时域中维也纳型系统的非线性模型预测控制

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摘要

This paper presents a method of continuous-time model predictive control for nonlinear Wiener-type systems. The system's output nonlinear mapping is approximated by the means of fuzzy systems, and is inherently incorporated in the predictive control scheme; thus, inverting the output function is not necessary. The predictive control law is derived in an analytical form to avoid the problems with non-convex optimization in each time step. A simulation experiment is conducted to present the control quality in the case of a pH-neutralization process with a heavily nonlinear output mapping.
机译:本文介绍了非线性维纳式系统的连续时间模型预测控制方法。系统的输出非线性映射由模糊系统的装置近似,并且在预测控制方案中固有地结合在一起;因此,不需要反转输出功能。预测控制法以分析形式导出,以避免每次步骤中的非凸优化问题。在具有沉重非线性输出映射的PH-中和过程的情况下,进行仿真实验以呈现控制质量。

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