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2015 IEEE International Conference on Computer and Communications(ICCC 2015)

作者： Haiqiang Wang Yu Zhang Jing Jin Xingyu Wang The Key Laboratory for Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

Until now, the canonical correlation analysis(CCA)-based method has been most widely applied to steady-state visual evoked potential(SSVEP). Artificial sine-cosine signals are used as the original references in the CCA method, which could hardly reflect the real SSVEP features buried in electroencephalogram(EEG). In this study, we use principal component analysis(PCA) to extract EEG features multivariate linear regression(MLR) is implemented on EEG and the specific sample labels. Experimental results show that the proposed MLR method outperformed other two competing methods for SSVEP recognition, especially in short time window.

关键词： Brain-Computer Interface(BCI) Canonical Correlation Analysis(CCA) Electroencephalogram(EEG) Steady-State Visual Evoked Potential(SSVEP) principal component analysis(PCA) Multivariate Linear Regression(MLR)

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Improving the Performance of Online Classifier by Removing the Error Samples from Offline Training Data

Improving the Performance of Online Classifier by Removing t...

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2015 IEEE International Conference on Computer and Communications(ICCC 2015)

作者： Hanhan Zhang Jing Jin Sijie Zhou Yu Zhang Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

Brain-computer interface(BCI) plays an important role in helping the people with severe motor disability. In event-related potential(ERP) based BCIs, subjects were asked to count the target stimulus in the offline experiment, the recorded electroencephalogram(EEG) data was used to train the classification mode. However, subjects may make mistakes in counting the target stimulus or be affected by the non-target stimulus. The target trials may not contain expected ERPs and the non-target trials may contain unexpected ERPs, which was called error samples. This paper intends to survey whether the classification accuracy could be improved after removing these error samples from offline training data. The result showed that the online performance of BCI system could be improved after selecting the offline samples for training the classification mode.

关键词： Brain-computer interface(BCI) P300 feature selection algorithm

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Distributed formation control for a multi-agent system with dynamic and static obstacle avoidances

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Chinese Physics B 2014年第7期23卷 337-342页

作者：曹建福凌志浩袁宜峰高冲 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Formation control and obstacle avoidance for multi-agent systems have attracted more and more attention. In this paper, the problems of formation control and obstacle avoidance are investigated by means of a consensus algorithm. A novel distributed control model is proposed for the multi-agent system to form the anticipated formation as well as achieve obstacle avoidance. Based on the consensus algorithm, a distributed control function consisting of three terms （formation control term, velocity matching term, and obstacle avoidance term） is presented. By establishing a novel formation control matrix, a formation control term is constructed such that the agents can converge to consensus and reach the anticipated formation. A new obstacle avoidance function is developed by using the modified potential field approach to make sure that obstacle avoidance can be achieved whether the obstacle is in a dynamic state or a stationary state. A velocity matching term is also put forward to guarantee that the velocities of all agents converge to the same value. Furthermore, stability of the control model is proven. Simulation results are provided to demonstrate the effectiveness of the proposed control.

关键词： multi-agent system formation control obstacle avoidance consensus theory

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Full Form Dynamic Linearization controller Based Data-driven Model Free Adaptive control

Full Form Dynamic Linearization Controller Based Data-driven...

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第27届中国控制与决策会议

作者： Yuanming Zhu Zhongsheng Hou Shangtai Jin Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology Advanced Control System Laboratory Beijing Jiaotong University

ISBN: (纸本)9781479970186

This paper presents a data-driven model free adaptive control method based on full form dynamic linearization *** this framework,the controller structure is designed by the full form dynamic linearization technique on the ideal controller,and its parameters are online optimized using input and output data of the plant through the simple projection algorithm,where the accurate plant model is not *** effectiveness of the proposed method is verified by numerical simulations.

关键词： Dynamic Linearization,Data-driven,Model Free Adaptive control,Nonlinear System

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Partial stabilization for Boolean network with state feedback control 34

Partial stabilization for Boolean network with state feedbac...

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第三十四届中国控制会议

作者： LI Fangfei ZHAO Shouwei LI Chunxiang YU Zhaoxu Department of Mathematics East China University of Science and Technology School of Fundamental Studies Shanghai University of Engineering Science Department of Mathematics and Physics Second Military Medical University Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

ISBN: (纸本)9781467374439

In the literatures, to design state feedback controller to partially stabilize Boolean control network is rarely *** by this, this paper studies partial stabilization for Boolean network with state feedback control. A sufficient condition for the existence of a state feedback controller to achieve the partial stabilization is established first. Then, the feedback control law is proposed. Finally, examples are presented to show the proposed design procedure.

关键词： Boolean control network,partial stabilization,feedback control design,semi-tensor product

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Robust optimization for a Multi-Product Integrated Problem of Planning and Scheduling under Products Uncertainty

Robust Optimization for a Multi-Product Integrated Problem o...

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2015 Workshop 1

作者： Mengwen Chen Cuiwen Cao Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

This paper presents robust optimization models for a multi-product integrated problem of planning and scheduling(based on the work of Terrazas-Moreno & Grossmann(2011) [1]) under products prices uncertainty. With the objective of maximizing the total profit in planning time horizon, the planning section determines the amount of each product, each product distributed to each market, and the inventory level in each manufacturing site during each scheduling time period;the scheduling section determines the products sequence, start and end time of each product running in each production site during each scheduling time period. The uncertainty sets used in robust optimization model are box set, ellipsoidal set, polyhedral set, combined box and ellipsoidal set, combined box and polyhedral set, combined box, ellipsoidal and polyhedral *** genetic algorithm is utilized to solve the robust optimization models. Case studies show that the solutions obtained from robust optimization models are better than the solutions obtained from the original integrated planning and scheduling when the prices are changed.

关键词： Uncertainty Robust optimization Integrated Problem of Planning and Scheduling GA

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Sensor Scheduling for Distributed Filtering under Limited Communication Resources

Sensor Scheduling for Distributed Filtering under Limited Co...

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IEEE Annual Conference on Decision and control

作者： Wen Yang Chao Yang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes(East China University of Science and Technology) Ministry of Education

ISBN: (纸本)9781479978878

In this paper we consider the problem of sensor scheduling for distributed estimation with power constraint. To satisfy the requirement of energy consumption, we assume that each sensor sends data to its adjacent sensors with a given probability, where the state of the system is estimated by means of distributed estimators. First, we design optimal estimator gain to minimize the estimation error covariance for each sensor, and then we find an upper bound of the expected state error covariance, provide a sufficient condition to guarantee the stability of the proposed estimator. To find the optimal communication probability, we further formulate the sensor scheduling problem as an optimization problem, which is relaxed to a convex optimization in the form of LMIs.

关键词： Sensors communication resources Distribute Convex function Covariance Filtration energy consumption

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Data-driven Model Free Adaptive control for a Class of Interconnected Systems

Data-driven Model Free Adaptive Control for a Class of Inter...

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Asian control Conference

作者： Yuanming Zhu Feng Qian Zhongsheng Hou Shangtai Jin Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Advanced Control System Laboratory Beijing Jiaotong University

ISBN: (纸本)9781479978632

This paper recalls a novel data-driven model-free adaptive control (MFAC) method for a class of interconnected discrete-time nonlinear systems, whose model is unavailable and interactions between each subsystem are measurable. Then, under some mild conditions, stability of the closed-loop system is analyzed theoretically. Compared with original MFAC, the proposed MFAC for interconnected systems belongs to decentralized control method, and makes full use of the interacted data to achieve better performance. The effectiveness and superiority are verified by simulation result.

关键词： Data-driven control Model Free Adaptive control Interconnected System

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Fault detection for networked systems with random packet losses, sensor saturation and multiplicative noises

Fault detection for networked systems with random packet los...

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International Conference on Information and Automation (ICIA)

作者： Fengfeng Qian Huaicheng Yan Hongbo Shi Hao Zhang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Shanghai China Ministry of Education Tongji University Shanghai China

ISBN: (纸本)9781467391054

This paper is concerned with the H∞ fault detection (FD) for a class of networked systems with random packet losses, sensor saturation and multiplicative noises. The network with both output measurement and control packet losses is modeled with two independent Bernouli distributed white sequences. H∞ filtering theory is adapted to formulate the problem of fault detection for networked systems. The output measurement is affected by sensor saturation which is described by sector-nonlinearities, and the multiplicative noises are modeled as a form of Gaussian white noise. The purpose of the addressed problem is to design a fault detection filter such that, the fault detection dynamic system is exponentially stable in the mean square, and the error between the residual value and fault value is made as small as possible. A sufficient condition for FD filter is derived by solving the linear matrix inequality (LMI). Finally, a numerical example is illustrated to show the effectiveness of the designed method.

关键词： Fault detection Packet loss Noise Robustness Networked control systems Circuit faults

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Hellinger distance based probability distribution approach to performance monitoring of nonlinear control systems

Hellinger distance based probability distribution approach t...

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作者： Li, Chen Huang, Biao Qian, Feng Key Laboratory of Advanced Control and Optimization Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G 2G6 Canada

control performance monitoring has attracted great attention in both academia and industry over the past two decades. However, most research efforts have been devoted to the performance monitoring of linear control systems, without considering the pervasive nonlinearities (e.g. valve stiction) present in most industrial control systems. In this work, a novel probability distribution distance based index is proposed to monitor the performance of non-linear control systems. The proposed method uses Hellinger distance to evaluate change of control system performance. Several simulation examples are given to illustrate the effectiveness of the proposed method. © 2015 The chemical Industry and Engineering Society of China, and chemical Industry Press. All rights reserved.

关键词： Probability distributions

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