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首页> 外文期刊>Journal of Intelligent & Robotic Systems: Theory & Application >A Comparison of Fuzzy and CPWL Approximations in the Continuous-time Nonlinear Model-predictive Control of Time-delayed Wiener-type Systems
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A Comparison of Fuzzy and CPWL Approximations in the Continuous-time Nonlinear Model-predictive Control of Time-delayed Wiener-type Systems

机译:时滞维纳型系统连续时间非线性模型预测控制中模糊和CPWL逼近的比较

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摘要

This paper deals with a novel method of continuous-time model-predictive control for nonlinear time-delayed systems. The problems relating to time delays are solved by incorporating the Smith-predictor scheme in a control-law derivation. A nonlinear-mapping approximation, employing either continuous piece-wise linear functions or a fuzzy system, is also an integral part of the control scheme, and thus removes the need for output-function invertibility. An illustrative experiment is conducted to compare the control quality in both approaches when tackling a time-delayed Wiener-type system control.
机译:本文提出了一种非线性时滞系统的连续时间模型预测控制的新方法。通过将史密斯预测器方案纳入控制律推导中,可以解决与时间延迟有关的问题。采用连续分段线性函数或模糊系统的非线性映射近似也是控制方案的组成部分,因此消除了对输出函数可逆性的需求。进行了一个说明性实验,以比较处理时滞维纳型系统控制时两种方法的控制质量。

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