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检索条件"机构=Key Laboratory for Advanced Control and Optimization for Chemical Processes"
633 条 记 录,以下是201-210 订阅
排序:
Initial-Parameter-Criterion based Gaussian Mixture Model Monitoring Method for Non-Gaussian Process
Initial-Parameter-Criterion based Gaussian Mixture Model Mon...
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Chinese control Conference
作者: Ying Tian Wenli Du Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai
Gaussian mixture model (GMM) monitoring method is commonly used for non-Gaussian process monitoring. In GMM monitoring method, the final number of Gaussian components and the statistical distribution parameters are es... 详细信息
来源: 评论
control Performance Assessment of Multivariable System Based on Multi-time-variant-disturbances Mixing GMV Method  29
Control Performance Assessment of Multivariable System Based...
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第29届中国控制与决策会议
作者: Yupeng Du Zhenlei Wang Xin Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Center of Electrical & Electronic Technology Shanghai Jiao Tong University
The disturbance in chemical process is complex and has the multiple characteristics,and the control performance assessment of multivariable system with multiple disturbances is one of the hot *** this paper,the contro... 详细信息
来源: 评论
A class of nonlinear discrete-time system adaptive control based on second level multiple models  36
A class of nonlinear discrete-time system adaptive control b...
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第36届中国控制会议
作者: Yong Chen Xin Wang Zhenlei Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Center of Electrical and Electronic Technology Shanghai Jiao Tong University
Using multiple models to deal with transients for adaptive systems which is large parametric uncertainties was introduced in the 1990 *** common method is using switching ***,these methods has some potential *** this ... 详细信息
来源: 评论
Second Level Adaptive control Based on Combination Multiple Model  29
Second Level Adaptive Control Based on Combination Multiple ...
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第29届中国控制与决策会议
作者: Yong Chen Xin Wang Zhenlei Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Center of Electrical and Electronic Technology Shanghai Jiao Tong University
Since all of adaptive models converge to the same point in parameter space,classical second level multiple model adaptive control method cannot deal with linear time-varying *** order to deal with this drawback,this p... 详细信息
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Biogeography-based multi-objective optimization algorithm with hybrid migration and applying in ethylene cracking process  36
Biogeography-based multi-objective optimization algorithm wi...
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第36届中国控制会议
作者: Zheming Huang Rongbin Qi East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical ProcessMinistry of Education
The Ethylene cracking is highly nonlinear, complex process with many constraints because of the complex running state of cracking furnace groups. For the solutions to multi-objective problems of yield, cost and benefi... 详细信息
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$H_{\infty}$ Output Tracking control for Networked Systems With Adaptively Adjusted Event-Triggered Scheme
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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2019年 第10期49卷 2050-2058页
作者: Huaicheng Yan Chenyang Hu Hao Zhang Hamid Reza Karimi Xiaowei Jiang Ming Liu Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Shanghai China School of Information Science and Engineering East China University of Science and Technology Shanghai China Department of Control Science and Engineering Tongji University Shanghai China Department of Mechanical Engineering Politecnico di Milan Milan Italy College of Mechatronics and Control Engineering Hubei Normal University Huangshi China Research Center of Satellite Technology Harbin Institute of Technology Harbin China
The H ∞ output tracking control problem of the networked control systems (NCSs) under an adaptively adjusted event-triggered scheme is investigated in this paper. Firstly, a novel adaptively adjusted event-triggered... 详细信息
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Robust Tracking control of Nonlinear Singularly Perturbed Systems  36
Robust Tracking Control of Nonlinear Singularly Perturbed Sy...
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第36届中国控制会议
作者: Jing Xu Yugang Niu the Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education
This paper presents a robust control scheme for the tracking control of singularly perturbed uncertain systems. The design problem is divided into two parts: tracking the reference trajectory and enhancing the robustn... 详细信息
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A Typical Power Allocation for Distributed Filtering
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IFAC-PapersOnLine 2017年 第1期50卷 10550-10555页
作者: Zhang Y. Yang W. Yang C. Wang X. Sha F. Tian Y. Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai 200237 China Department of Automation Shanghai Jiaotong University Shanghai 200240 China
In this paper, the problem of power allocation is considered for distributed estimation over a sensor network with limited power. An online power allocation scheme is introduced to optimize the power consumption, wher... 详细信息
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A Novel Improved Grey Wolf optimization Algorithm for Numerical optimization and PID controller Design
A Novel Improved Grey Wolf Optimization Algorithm for Numeri...
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Data Driven control and Learning Systems (DDCLS)
作者: Tao Zhang Xin Wang Zhenlei Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Center of Electrical & Electronic Technology Shanghai Jiao Tong University Shanghai China
The grey wolf optimization (GWO) algorithm, one of the recently proposed bio-inspired algorithms, simulates the leadership hierarchy and hunting mechanism of grey wolves in nature. The GWO has a good performance in so... 详细信息
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Improved Garson Algorithm based on Neural Network Model  29
Improved Garson Algorithm based on Neural Network Model
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第29届中国控制与决策会议
作者: Sun Maozhun Liu Ji Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology School of Information Science and Engineering East China University of Science and Technology
The evaluation of input factors of complex system is a hot and difficult point in the sensitivity analysis. In this paper, the Garson algorithm based on artificial intelligence is studied and the original Garson algor... 详细信息
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