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Handling Constraints and Uncertainty in Chemical Process Operation Using Nonlinear Model Predictive Control

Handling Constraints and Uncertainty in Chemical Process Operation Using Nonlinear Model Predictive Control
使用非线性模型预测控制处理化工过程操作中的约束和不确定性
批准号:
RGPIN-2016-05391
负责人:
Mhaskar, Prashant
金额:
$2.77万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
翻译
长期以来,化学过程的控制一直面临诸多挑战,如输入限制(阀门和泵的容量有限)、非线性和不确定性(干扰或工厂模型不匹配)。虽然在过去的几十年里,控制理论已经有了重要的研究,但现代传感和计算能力的可用性已经为过去难以计算的控制设计开辟了可能性。
英文摘要
Control of chemical processes has long grappled with challenges such as the presence of constraints on the inputs (valves and pumps limited in capacity), nonlinearity and uncertainty (disturbances or plant model mismatch). While there has been significant research in control theory over the last several decades, the availability of modern sensing and computational capabilities have opened up the possibilities of control designs that were in the past computationally intractable.
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