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检索条件"任意字段=第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年"

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Power forecasting of solar photovoltaic based on optimized general regression neural network

Power forecasting of solar photovoltaic based on optimized g...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： SHANG Yongjie OUYANG Zhiyou YUE Dong CHEN Jijun CHEN Yongbo Institute of Advanced Technology Nanjing University of Posts and Telecommunications College of Automation Nanjing University of Posts and Telecommunications ZTE Corporation

Since solar energy is a kind of green and renewable energy,it is increasingly used in large-scale grid-connected photovoltaic(PV) system in recent ***,the power output of PV systems depends critically on the weather,geography and other factors,which results in intermittence,volatility and *** PV power forecasting plays a key role in ensuring steady output at any particular *** this paper,the improved version of general regression neural network(GRNN) is implemented by adding two *** first one is Fuzzy C-Means Clustering(FCM) which can reduce the input of *** the other one is Chaos Optimization Algorithm(COA) that optimizes the smooth parameter of ***,root mean square error(RMSE),as the evaluation of this optimized algorithm,reaches 4.38% in our algorithm verification *** result is better than Back Propagation(BP) by comparison.

关键词： Solar PV power GRNN FCM COA RMSE

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Recursive Subspace Model Identification Based on VARX Model and Natural Power Method for Closed Loop data

Recursive Subspace Model Identification Based on VARX Model ...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： CHEN Liang PAN HaiPeng WU Ping ZHOU Wei Faculty of Mechanical Engineering and Automation Zhejiang Sci-Tech University

In this paper,a new Recursive subspace model identification(RSMI) algorithm is proposed based on the Vector Auto Regressive with e Xogenous input(VARX) model and natural power *** developed method can recursively identify the state space model under closed loop *** it can also be applied to open loop *** merit of adopting VARX model is that the closed loop identification problem can be handled as open loop identification *** RSMI problem can be easily transferred to array signal processing problem via VARX ***,Natural power method is a fast subspace tracking method in array signal process *** the singular value decomposition in subspace identification can be avoided by introducing natural power *** simulations are proposed to show the efficiency of the proposed RSMI algorithm under closed and open loop data.

关键词： closed loop identification subspace method recursive algorithm natural power method

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Stability Analysis and Controller Design for Nonlinear Heater of Nuclear Reaction Control Systems

Stability Analysis and Controller Design for Nonlinear Heate...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Jimin Yu Cheng Qin Xiaoming Tang College of Automation Chongqing University of Posts and Telecommunications

In this paper,we address the problems of stability analysis and controller design of a group of nonlinear heater of nuclear reaction control *** partial feedback linearizing approach divides the dynamics of the nonlinear systems into two parts:one is external dynamics(input-output linearization part) which should be stable and have a good performance;and the other is an autonomous system with internal dynamics which needs to be stable only by a suitable cooperative *** on the Lyapunov stability theory,it has been provend that the asymptotical stability of the heater systems can be guaranteed if the parameters are appropriately chosen according to the established ***,the partial feedback linearization is applicable to design the controller for the heater *** experiments illustrates the effectiveness of the designed controller.

关键词： Nonlinear control systems Asymptotic stability Partial feedback linearization Lyapunov stability theory Inputoutput linearization Nuclear reaction heater systems

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Distributed Planning and Control for Quadrotor Formation Reconfiguration Based on Receding Horizon

Distributed Planning and Control for Quadrotor Formation Rec...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Wei Tao Fu Shan Huang Dan Guo Xiaodong School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University School of Aeronautics and Astronautics Shanghai Jiao Tong University

In this work,we consider the problem of controlling a group of quadrotors to converge from initial shape to desired shape while avoiding *** planning and control for single quadrotor and centralized algorithm for formation reconfiguration have been widely *** from previous methods,a distributed method for quadrotor formation reconfiguration with better performance in time efficiency is proposed in this ***,the relation between the attitude and acceleration based on the dynamic model of quadrotor is analyzed so that the planning and control in attitude space can be converted into acceleration space,which guarantees the feasibility of the planning results for quadrotor,while simplifying the model of quadrotor into two-order integral *** the aspect of trajectory planning and control for formation reconfiguration,we firstly establish the centralized receding horizon *** then a distributed algorithm combined with the prediction of neighbors' states is *** experiments show that the distributed strategy can effectively reduce the time consumption of ***'s more,the efficiency is maintained even the scale of group expands.

关键词： Quadrotor Formation reconfiguration Distributed receding horizon Time efficiency

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Fault-tolerant Control for High-speed Trains with Unknown Parameters and Faults

Fault-tolerant Control for High-speed Trains with Unknown Pa...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Xue Lin Hairong Dong Xiuming Yao Weiqi Bai State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Electronic and Information Engineering Beijing Jiaotong University

The paper focuses on the tracking problem of high-speed trains,in which unknown basis resistance,extra resistance and actuator faults are taken into *** on sliding mode control and neural networks,an adaptive active fault-tolerant control approach is proposed via considering two types of effectiveness factors arising from actuator faults.A novel sliding mode surface with unknown coefficients which is similar to PID control scheme is *** networks are used to approximate the unknown extra resistance which is *** unknown coefficients and parameters resulting from sliding mode surface and dynamics formulation are obtained online via adaptive *** methods are introduced to verify the *** effectiveness of the presented control approach can be confirmed by simulation results.

关键词： Fault-tolerant Adaptive control Neural networks Sliding mode control High-speed trains

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Modeling of Plate Heat Exchanger Based on Kernel Partial Least Squares

Modeling of Plate Heat Exchanger Based on Kernel Partial Lea...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Yuming Guo Fuli Wang Mingxing Jia Dapeng Niu College of Information Science & Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries(Northeastern University)

A model of plate heat exchanger(PHE) for predicting the outlet temperature of cooling water is developed in this *** model combines the mechanistic model with a compensating model in parallel way to reduce the errors caused by assumptions and unknown *** mechanistic model is established based on the thermal balance equation and the thermal transfer equation,furthermore,the parameters in the mechanistic model is identified by forming an optimization problem which is solved by the Differential Evolution(DE) *** compensating model is a data-driven model consisting of Kernel Partial Least Squares(KPLS) algorithm,which can compensate the deviation of outputs of mechanistic model from the real *** simulation results show that the proposed model demonstrate better performance compared with the pure mechanistic model,which lays an important foundation for energy-saving optimization of PHE.

关键词： Plate heat exchanger Model compensating Outlet temperature of cooling water Differential Evolution algorithm Kernel Partial Least Squares algorithm

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Zinc Fast Roughing Working Condition Identification Based on DTCWT

Zinc Fast Roughing Working Condition Identification Based on...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Yan Zhi-hao Tang Zhao-Hui He Zhuo College of Information Science and Engineering Central South University

The surface texture of mineral flotation froth is an important index of flotation *** is a strong correlation with flotation working conditions,which can be used to realize the identification of zinc fast roughing working *** order to accomplish the identification of flotation production,a new method of discriminating zinc fast rough condition based on dual-tree complex wavelet transform(DTCWT) is *** of all,3-level Dual-Tree Complex Wavelet Transform is used to decompose the foam image into three layers with different directions and resolutions and the energy of different subimages is used as texture ***,the improved random forest integrated classification model is used to identify the image under different working conditions,which effectively improves the shortcomings of the single model and solves the characteristic redundancy problem with high generalization *** industrial experiment verifies the effectiveness of the proposed method which can realize zinc fast roughing working condition identification.

关键词： DTCWT working condition Integrated classification model Zinc fast roughing

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Median absolute deviation based robust distance metric for monitoring processes with contaminated data

Median absolute deviation based robust distance metric for m...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Jun Shang Maoyin Chen Donghua Zhou Department of Automation TNListTsinghua University College of Electrical Engineering and Automation Shandong University of Science and Technology

In many modern industrial processes,measurements are frequently contaminated by *** paper presents a robust process monitoring method based on a type of robust distance metric for training dataset with contaminated *** on robust estimation statistics such as medians and median absolute deviations,the robust distance is recursively calculated,with eliminating significant outliers in the training dataset in each *** robust distance serves as the detection index for online process *** robust estimation and recursive elimination of corrupted data,the robust distance is insensitive to outliers,even when they have large quantity and magnitudes.A numerical simulation and benchmark Tennessee Eastman process with contaminated data both illustrate the robustness of the proposed method.

关键词： Fault detection robust process monitoring median absolute deviation robust distance metric

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Just-in-Time Learning Based Integrated MPC-ILC Control for Batch Processes

Just-in-Time Learning Based Integrated MPC-ILC Control for B...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： Li Jia Wendan Tan Chao Han Shanghai Key Laboratory of Power Station Automation Technology Department of AutomationCollege of Mechatronics Engineering and AutomationShanghai University

Considering the two-dimension(2 D) characteristic and the unknown optimal trajectory problem of the batch processes,an integrated model predictive control-iterative learning control(MPC-ILC) for batch processes is proposed in this ***,the batch-axis information and time-axis information are combined into one quadratic performance *** implies the integration of ILC and MPC algorithm idea,which leads to superior tracking performance and better robustness against disturbance and *** address problem of the unknown optimal trajectory,both time-varying prediction horizon and end product quality control are ***,an integrated 2 D just-in-time learning(JITL) model is used to improve the predictive ***,rigorous description and proof are presented to prove the convergence and tracking performance of the proposed MPC-ILC *** simulation results show the effectiveness of the proposed method.

关键词： model predictive control batch process just-in-time learning(JITL) model

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Enhanced Exergy Cost Optimization of Operating Conditions in FCCU Main Fractionator

Enhanced Exergy Cost Optimization of Operating Conditions in...

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第28届中国过程控制会议（cpcc 2017）暨纪念中国过程控制会议30周年

作者： ZHONG Chonglin ZHENG Yi LI Shaoyuan Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education

Exergy indicates the maximal energy that can do work *** from the limited optimization of product quality or the calculation of generic energy conservation in most previous studies,the application of exergy analysis and exergy cost optimization in petrochemical industry is of great economic and environmental *** on the FCCU main fractionator in Jiujiang Petrochemical Complex No.2 FCCU,an enhanced exergy cost optimization under different operating conditions by adjusting set points of temperature and valves opening degree for flow control are studied in this paper in order to reduce exergy cost and improve the quality of energy.A steady-state optimization algorithm to enhance exergy availability and an objective function comprehensively considering exergy loss are *** the basis of ensuring the quality of petroleum products,the economic benefits can be improved by optimizing the controllable variables due to the fact that exergy cost is decreased.

关键词： Exergy Optimization of Operating Conditions Fractionator FCCU Exergy Cost

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