检索结果-内蒙古大学图书馆

Improved Estimation of Distribution Algorithm for Solving Unrelated Parallel Machine Scheduling Problem

Journal of Donghua University(English Edition) 2016年第5期33卷 797-802页

作者：孙泽文顾幸生 Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

Scheduling problem is a well-known combinatorial optimization *** effective improved estimation of distribution algorithm(IEDA) was proposed for minimizing the makespan of the unrelated parallel machine scheduling problem(UPMSP).Mathematical description was given for the *** IEDA which was combined with variable neighborhood search(IEDA_VNS) was proposed to solve the UPMSP in order to improve local search ability.A new encoding method was designed for representing the feasible solutions of the *** knowledge of the UPMSP were taken consideration in IEDA_ VNS for probability matrix which was based the processing time *** simulation results show that the proposed IEDA_VNS can solve the problem effectively.

关键词： Scheduling neighborhood scheduling minimizing processed unrelated probabilistic intelligent heuristic representing

来源：评论

学校读者我要写书评

暂无评论

Convergence Analysis for an Identifier-Based Adaptive Dynamic Programming Algorithm 34

Convergence Analysis for an Identifier-Based Adaptive Dynami...

引用

第三十四届中国控制会议

作者： SONG Jun NIU Yugang ZOU Yuanyuan Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education

ISBN: (纸本)9781467374439

This paper investigates the uniformly ultimate boundedness(UUB) of an identifier-based adaptive dynamic programming(ADP) algorithm proposed in [7]. It is demonstrated that the estimation errors of weights in both critic and action networks are UUB during iteration learning. Moreover, a selection method on learning rates is also given.

关键词： Adaptive Dynamic Programming(ADP),Markov Jump Systems(MJSs),Uniformly Ultimately Boundedness(UUB)

来源：评论

学校读者我要写书评

暂无评论

Exponential dissipative control of stochastic systems under wireless communication networks 35

Exponential dissipative control of stochastic systems under ...

引用

第35届中国控制会议

作者： SONG Jun NIU Yugang ZOU Yuanyuan Key Laboratory of Advanced Control and Optimization for Chemical Process(East China University of Science and Technology) Ministry of Education

ISBN: (纸本)9781509009107

In this work,the problem of dissipative control is investigated for stochastic systems under the unreliable wireless network,in which there may exist stochastic fading ***,a modified Rice fading model with disturbance-dependent noise is *** then,a state-feedback controller with fading measurements is designed and the some sufficient conditions are derived such that the closed-loop system is finite-time stochastic bounded with a prescribed exponentially dissipative ***,numerical simulation results are provided.

关键词： Stochastic systems fading channel dissipative control

来源：评论

学校读者我要写书评

暂无评论

Robust Tracking control of Nonlinear Singularly Perturbed Systems 36

Robust Tracking Control of Nonlinear Singularly Perturbed Sy...

引用

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

ISBN: (纸本)9781538629185

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 robustness of the dynamic *** using the time-scale techniques, dynamic inversion approach and linear parameter-varying methods, a set of singularly perturbed state feedback controllers are employed to enhance the tracking performance and robustness of a dynamic system against parameter uncertainties, actuator and sensor unmodelled dynamics, and external disturbances. The longitudinal control of an F16 aircraft model is included to show the merits and and effectiveness of the proposed design scheme.

关键词： Self-scheduled Tracking control Singularly perturbed systems Robust control

来源：评论

学校读者我要写书评

暂无评论

Process monitoring of multimode processes using kernel independent component analysis

Process monitoring of multimode processes using kernel indep...

引用

8th International Symposium on advanced control of chemical processes, ADCHEM 2012

作者： Zhang, Yingwei An, Jiayu Ma, Chi State Key Laboratory of Synthetical Automation of Process Industry Northeastern University Shenyang Liaoning 110819 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Shanghai 200237 China

ISBN: (纸本)9783902823052

In the paper, a new process monitoring approach is proposed for handling the multimode problem in the industrial processes. The original space can be separated into two different parts, which are the common part and the specific part. There are both similarity and dissimilarity in the underlying correlations of different modes, which play different roles in the industrial processes. Because the industrial processes have the non-Gaussian and nonlinear characteristics, modified kernel independent component analysis is used to monitor the multimode processes in this paper. The global multimode basis vector and the multimode sub-basis vector are obtained based on the modified KICA. Then, the common part and specific part in one mode are respectively analyzed. The proposed method is applied to monitor the continuous annealing process. The proposed approach effectively captures the non-Gaussian and nonlinear relationship in different modes in the industrial processes. © 2012 IFAC.

关键词： Process monitoring

来源：评论

学校读者我要写书评

暂无评论

Soft sensor for ammonia concentration at the ammonia converter outlet based on an improved group search optimization and BP neural network

Soft sensor for ammonia concentration at the ammonia convert...

引用

第23届过程控制会议

作者： Xingdi Yan Wen Yang Hehe Ma Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education

The ammonia synthesis section is the core during the whole ammonia synthesis production. The ammonia concentration at the ammonia converter outlet is a significant process variable, which reflects the production efficiency directly. However, it is hard to be measured reliably online in real applications. In this paper, a soft sensor based on BP neural network (BPNN) is applied to estimate the ammonia concentration. A modified group search optimization with nearest neighborhood (GSO-NH) is proposed to optimize the weights and thresholds of BPNN. GSO-NH is integrated with BPNN to build a soft sensor model. Finally, the soft sensor model based on BPNN and GSO-NH (GSO-NH-NN) is used to infer the outlet ammonia concentration in a real-world application. Three other modeling methods are applied to compare with GSO-NH-NN. The results show that the soft sensor based on GSO-NH-NN has a good prediction performance with high accuracy. Moreover, the GSO-NH-NN also provides good generalization ability to other modeling problems in ammonia synthesis production.

关键词： Ammonia synthesis Ammonia concentration Soft sensor Group search optimization.

来源：评论

学校读者我要写书评

暂无评论

The optimal model reduction method for spatially distributed system based on simulated annealing algorithm

The optimal model reduction method for spatially distributed...

引用

2012 International Conference on Computer Science and Information Processing, CSIP 2012

作者： Wang, Mengling Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology 130 Meilong Road Shanghai 200237 China

ISBN: (纸本)9781467314114

For partial differential equation description unknown spatially distributed systems, the number of local models determines the dimension of the model. So far, there is no mature method about how to obtain the optimal region division. Usually, the local region division is related with the location of sensors. It may affect the accuracy and computational complexityH of the modeling directly. This paper presents an optimal model reduction approach for spatially distributed systems based on simulated annealing algorithm. At first, the optimality criterion is presented. And then, the simulated annealing based iterative optimizing method is proposed to solve the optimal model reduction. The simulations demonstrated show the accuracy and efficiency of the proposed methodologies. © 2012 IEEE.

关键词： Simulated annealing

来源：评论

学校读者我要写书评

暂无评论

A Typical Power Allocation for Distributed Filtering

引用

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, where the power distributed to each communication channel depends on the innovation value of the sender. First, an optimal estimator gain is designed for each sensor by minimizing the mean-squared estimation error covariance. Second, a sufficient condition is provided to guarantee the stability of networked system with online power allocation scheme. Finally, we compare the estimation performance of the proposed online power scheduling scheme with some typical offline power scheduling schemes. © 2017

关键词： Distributed estimation Modified algebraic Riccati equation (MARE) Power allocation Transmission probability

来源：评论

学校读者我要写书评

暂无评论

Improved Garson Algorithm based on Neural Network Model 29

Improved Garson Algorithm based on Neural Network Model

引用

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

ISBN: (纸本)9781509046584

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 algorithm accuracy is not high. Therefore, an improved Garson algorithm is proposed and the input factors are introduced into the Garson algorithm. At the same time, the original local sensitivity analysis algorithm is improved as the global sensitivity analysis algorithm and it increases the accuracy and stability of the Garson algorithm. Through the typical benchmark test function simulation, the experimental results show that the improved Garson algorithm has higher accuracy and stability in the evaluation of sensitivity coefficient. Finally, the improved Garson algorithm is applied to evaluate the input factors of the plate-fin heat exchangers. It shows that the IGarson algorithm is more feasibility and effectiveness.

关键词： sensitivity analysis artificial intelligence neural network local sensitivity analysis global sensitivity analysis

来源：评论

学校读者我要写书评

暂无评论

Improved performance of process monitoring based on selection of key principal components

引用

Chinese Journal of chemical Engineering 2015年第12期23卷 1951-1957页

作者：宋冰马玉鑫侍洪波 Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and TechnologyMinistry of Education

Conventional principal component analysis(PCA) can obtain low-dimensional representations of original data space, but the selection of principal components(PCs) based on variance is subjective, which may lead to information loss and poor monitoring performance. To address dimension reduction and information preservation simultaneously, this paper proposes a novel PC selection scheme named full variable expression. On the basis of the proposed relevance of variables with each principal component, key principal components can be *** the key principal components serve as a low-dimensional representation of the entire original variables, preserving the information of original data space without information loss. A squared Mahalanobis distance, which is introduced as the monitoring statistic, is calculated directly in the key principal component space for fault detection. To test the modeling and monitoring performance of the proposed method, a numerical example and the Tennessee Eastman benchmark are used.

关键词： Principal component analysis Information loss Fault detection key principal component

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：