An Improved Generalized Predictive Control in a Robust Dynamic Partial Least Square Framework

Jin Xin; Chi Qinghua; Liu Kangling; Liang Jun

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An Improved Generalized Predictive Control in a Robust Dynamic Partial Least Square Framework

机译：鲁棒动态偏最小二乘框架中的一种改进的广义预测控制

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To tackle the sensitivity to outliers in system identification, a new robust dynamic partial least squares (PLS) model based on an outliers detection method is proposed in this paper. An improved radial basis function network (RBFN) is adopted to construct the predictive model from inputs and outputs dataset, and a hidden Markov model (HMM) is applied to detect the outliers. After outliers are removed away, a more robust dynamic PLS model is obtained. In addition, an improved generalized predictive control (GPC) with the tuning weights under dynamic PLS framework is proposed to deal with the interaction which is caused by the model mismatch. The results of two simulations demonstrate the effectiveness of proposed method.

机译：为了解决系统识别中对异常值的敏感性问题，提出了一种基于异常值检测方法的鲁棒动态最小二乘模型。采用改进的径向基函数网络（RBFN）从输入和输出数据集构建预测模型，并应用隐马尔可夫模型（HMM）检测异常值。除去异常值后，可获得更健壮的动态PLS模型。另外，提出了一种改进的广义预测控制（GPC），其具有在动态PLS框架下的调整权重，以处理由模型不匹配引起的相互作用。两次仿真结果验证了该方法的有效性。

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来源
《Mathematical Problems in Engineering》 |2015年第21期|923584.1-923584.14|共14页
作者
Jin Xin; Chi Qinghua; Liu Kangling; Liang Jun;
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Zhejiang Univ, Dept Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China;

Zhejiang Univ, Dept Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China;

Zhejiang Univ, Dept Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China;

Zhejiang Univ, Dept Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, Peoples R China;

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1. An Improved Generalized Predictive Control in a Robust Dynamic Partial Least Square Framework [J] . JinXin, ChiQinghua, LiuKangling, Mathematical Problems in Engineering: Theory, Methods and Applications . 2015,第5期

机译：鲁棒动态偏最小二乘框架中的一种改进的广义预测控制
2. Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables [J] . He Yan-Lin, Xu Yuan, Geng Zhi-Qiang, ISA Transactions . 2016,第Null期

机译：基于改进的功能链接神经网络与偏最小二乘集成的混合鲁棒模型（IFLNN-PLS）及其在关键过程变量预测中的应用
3. Improved variable reduction in partial least squares modelling based on Predictive-Property-Ranked Variables and adaptation of partial least squares complexity [J] . Jan P.M. Andries, Yvan Vander Heyden, Lutgarde M.C. Buydens Analytica chimica acta . 2011,第1a2期

机译：基于预测性能等级变量的局部最小二乘模型改进的变量约简和局部最小二乘复杂度的自适应
4. Intelligent Robust Control of Dynamic Systems with Partial Unstable Generalized Coordinates Based on Quantum Fuzzy Inference [C] . Andrey Mishin, Sergey Ulyanov MICAI 2011;Mexican international conference on artificial intelligence . 2011

机译：基于量子模糊推理的局部不稳定广义坐标动态系统的智能鲁棒控制。
5. On-line generalized predictive control combined with recursive least squares system identification. [D] . Moon, Suk-Min. 2003

机译：在线广义预测控制与递归最小二乘系统识别相结合。
6. Predicting survival from gene expression data by generalized partial least squares regression [O] . HL Størvold, OC Lingjærde 2005

机译：通过广义偏最小二乘回归从基因表达数据预测存活率
7. Improved Robustness of Generalized Predictive Control for Uncertain Systems [O] . Khelifi Otmane Khelifa, Bali Noureddine, Nezli Lazhari 2015

机译：改善不确定系统的广义预测控制的鲁棒性
8. Robustness and Efficiency of Generalized Predictive Control Algorithms withGuaranteed Stability [R] . Rossiter, J. A., Kouvaritakis, B. 1993

机译：具有保证稳定性的广义预测控制算法的鲁棒性和有效性

An Improved Generalized Predictive Control in a Robust Dynamic Partial Least Square Framework

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