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检索条件"机构=Key Laboratory of Aflvanced Control and Optimization for Chemical Processes"
485 条 记 录,以下是311-320 订阅
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Statistical process monitoring based on improved principal component analysis and its application to chemical processes
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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2013年 第7期14卷 520-534页
作者: Chu-dong TONG Xue-feng YAN Yu-xin MA Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology
In this paper, a novel criterion is proposed to determine the retained principal components (PCs) that capture the dominant variability of online monitored data. The variations of PCs were calculated according to thei... 详细信息
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Quantized H∞ control for stochastic nonlinear networked systems
Quantized H∞ control for stochastic nonlinear networked sys...
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Chinese control and Decision Conference, CCDC
作者: Huaicheng Yan Hongbo Shi Hao Zhang Haitao Zhao Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education Shanghai 200237 China Tongji University Shanghai Shanghai CN
In this paper, we are concerned with the quantized H ∞ control problem for a class of stochastic systems with random communication delays. The system under consideration involves signals quantization, Itô stoch... 详细信息
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Stable Distributed Model Predictive control strategy based on agent coordination
Stable Distributed Model Predictive Control strategy based o...
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Chinese control Conference (CCC)
作者: Mengling Wang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai Shanghai CN
Many systems composed by several interacting subsystems are usually controlled by a distributed control framework. Distributed Model Predictive control (DMPC) strategy, in which each subsystem is controlled by a local... 详细信息
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Optimal control Nodes Selection for Consensus in Multi-agent Systems
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IFAC Proceedings Volumes 2014年 第3期47卷 11697-11702页
作者: Wen Yang Xiaofan Wang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai 200237 Department of Automation Shanghai Jiaotong University Shanghai 200240
In a resource limited multi-agent system, it is of practical importance to select a fraction of nodes (agents) to provide control inputs such that consensus can be achieved with optimized performance in terms of netwo... 详细信息
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A new improved Alopex-based evolutionary algorithm and its application to parameter estimation
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Journal of Central South University 2013年 第1期20卷 123-133页
作者: 桑志祥 李绍军 董跃华 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education (East China University of Science and Technology)
In this work, focusing on the demerit of AEA (Alopex-based evolutionary algorithm) algorithm, an improved AEA algorithm (AEA-C) which was fused AEA with clonal selection algorithm was proposed. Considering the irratio... 详细信息
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Synchronization of heterogeneous dynamical networks via distributed impulsive control
Synchronization of heterogeneous dynamical networks via dist...
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Annual Conference of the IEEE Industrial Electronics Society
作者: Wangli He Qing-Long Han Feng Qian The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Centre for Intelligent and Networked Systems Central Queensland University
This paper studies global synchronization between a heterogeneous dynamical network and a known target trajectory via distributed impulsive control. Synchronization with an error level, called quasi-synchronization, i... 详细信息
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Adaptive neural control for pure-feedback nonlinear time-delay systems with unknown dead-zone: a Lyapunov-Razumikhin method
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控制理论与应用(英文版) 2013年 第1期11卷 18-26页
作者: Zhaoxu YU Jianxu LUO Ji LIU Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology
This paper addresses the problem of adaptive neural control for a class of uncertain pure-feedback nonlinear systems with multiple unknown state time-varying delays and unknown dead-zone. Based on a novel combination ... 详细信息
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chemical process dynamic optimization based on hybrid differential evolution algorithm integrated with Alopex
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Journal of Central South University 2013年 第4期20卷 950-959页
作者: 范勤勤 吕照民 颜学峰 郭美锦 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education (East China University of Science and Technology)
To solve dynamic optimization problem of chemical process (CPDOP), a hybrid differential evolution algorithm, which is integrated with Alopex and named as Alopex-DE, was proposed. In Alopex-DE, each original individua... 详细信息
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Unbiased Minimum-Variance Filtering for Systems with Randomly Multi-Step Sensor Delays
Unbiased Minimum-Variance Filtering for Systems with Randoml...
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Annual Conference of the IEEE Industrial Electronics Society
作者: Yilian Zhang Fuwen Yang Qing-Long Han Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Centre for Intelligent and Networked Systems Central Queensland University
In this paper, a linear unbiased minimum-variance filtering problem is considered for a class of systems with randomly multi-step sensor delays. A new mathematical model is established for the multi-step sensor delays... 详细信息
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H∞ controller design of event-triggered networked control systems
H∞ controller design of event-triggered networked control s...
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International Conference on Mechatronics and control (ICMC)
作者: Sheng Yan Huaicheng Yan Hongbo Shi Hao Zhang Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China Department of Control Theory and and Engineering Tongji University Shanghai China
This paper deals with H ∞ controller design problem for event-triggered networked control systems (NCSs), where the next task release time and finishing time are predicted based on the sampled states. A new model of... 详细信息
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