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Automatic ocular artifact suppression from human operator's EEG based on a combination of independent component analysis and fuzzy c-means clustering techniques

Automatic ocular artifact suppression from human operator's ...

引用

Chinese control Conference (CCC)

作者： Raofen Wang Jianhua Zhang Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai 200237 China

Independent component analysis (ICA) and fuzzy c-means (FCM) clustering were adopted for automatic ocular artifact suppression from operator's electroencephalogram. Firstly, ICA was applied to the 20s data containing nine channels of EEG data and one of electrooculagram (EOG) data. Secondly, each 20s independent component (IC) was partitioned into ten 2 s epochs. And five features of each epoch were calculated, which are wavelet entropy, power in the band between 0 and 5 Hz, kurtosis, mutual information and correlation. Thirdly, the epochs were classified as either EEG or ocular artifact based on the result of FCM clustering. And then components which were recognized as ocular artifact were rejected. Clean EEG was obtained. The result shows that the method based on ICA and FCM can be applied to online automatic ocular artifact suppression from EEG.

关键词： Electroencephalography Electrooculography Independent component analysis Entropy Electronic mail optimization Laboratories

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Quantized and networked predictive control for input-saturated systems

Quantized and networked predictive control for input-saturat...

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作者： Zou, Yuanyuan Chen, Bei Jia, Tinggang Niu, Yugang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Central Academe Shanghai Electric Group Co. Ltd. Shanghai China

ISBN: (纸本)9789881725592

This paper investigates the problem of stabilizing predictive control for constrained systems with quantization and communication delays. Based on the quantization matrix, the input-saturated control systems with logarithmic quantizers are described as constrained control systems with structured norm-bounded uncertainties. A quantized and networked predictive control algorithm is presented by using a multirate delay compensation strategy. It is shown that the proposed predictive controller not only efficiently reduces the negative effects of the quantization and communication delays but also guarantees the closed-loop stability and constraints satisfaction. The simulation example shows the effectiveness of the derived method. © 2011 Chinese Assoc of Automati.

关键词： Networked control systems

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Explicit MPC for multi-rate control systems

Explicit MPC for multi-rate control systems

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International Conference on Modelling, Identification and control (ICMIC)

作者： Yali Jiang Yuanyuan Zou Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

In this paper, explicit model predictive control (MPC) schemes for discrete-time linear-invariant multi-rate systems with constraints on inputs and states are studied. The optimization problem of multi-rate predictive control systems can be formulated by solving a multiparametric linear program (mp-LP), and the explicit state feedback control laws are developed. Further, based on the closed-loop multi-rate piecewise affine (PWA) structure, stability analysis is presented by linear matrix inequality (LMI). The simulation results show the effectiveness of the explicit MPC for multi-rate system.

关键词： optimization Predictive control Stability analysis Optimal control Predictive models chemical processes

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Real Time optimization of the Gasoline Blending Process with Unscented Kalman Filter

Real Time Optimization of the Gasoline Blending Process with...

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International Conference on Internet Computing and Information Services (ICICIS)

作者： Hui Cheng Weimin Zhong Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

Gasoline blending is a critical process in petroleum refineries. Real-time optimization (RTO) techniques have been popular with the applications for the blending process for optimization purpose. However the dependency of RTO on the measurement of the component impairs its applicability. Therefore how to utilize the blending model and the product measurement to free RTO from the component measurement is the major research topic in this paper. Unscented Kalman Filter, due to its ability to estimate the parameter for nonlinear model, is chosen to estimate component properties based on the product measurement. The RTO strategy is then proposed with the UKF method for the recipe calculation periodically. Furthermore, the proposed RTO is tested with the gasoline blending benchmark problem, while the results are compared with the ideal blending case. The accuracy of the component estimation and the efficiency of the RTO are verified with the results.

关键词： Mathematical model Petroleum optimization Equations Kalman filters Vectors Covariance matrix

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Sliding mode reliable control of Markovian jumping systems

Sliding mode reliable control of Markovian jumping systems

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作者： Chen, Bei Jia, Tinggang Zou, Yuanyuan Niu, Yugang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Sci. and Tech. Shanghai 200237 China Central Academe Shanghai Electric Group Co.Ltd. Shanghai China

ISBN: (纸本)9789881725592

In this work, a novel robust sliding mode control (SMC) method has been provided for uncertain stochastic Markovian jumping systems with actuator failures, such that the closed-loop system is globally asymptotically stable (with probability one). In the design of switching functions, a set of specified matrices are employed such that the connections among sliding surfaces corresponding to each mode are established. Furthermore, a sliding mode controller is synthesized to ensure the reachability of the specified switching surface. © 2011 Chinese Assoc of Automation.

关键词： Sliding mode control

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Quantized and networked predictive control for input-saturated systems

Quantized and networked predictive control for input-saturat...

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Chinese control Conference (CCC)

作者： Yuanyuan Zou Bei Chen Tinggang Jia Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

关键词： Delay Predictive control control systems Quantization Stability analysis Uncertainty Prediction algorithms

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Delay-dependent synchronization criteria for delayed chaotic systems with parameter mismatches

Delay-dependent synchronization criteria for delayed chaotic...

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作者： He, Wangli Qian, Feng Han, Qing-Long Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Centre for Intelligent and Networked Systems And School of Information and Communication Technology Central Queensland University Rockhampton 4702 Australia

ISBN: (纸本)9789881725592

This paper investigates synchronization between two delayed chaotic systems with parameter mismatches. Based on Lyapunov functional approach and generalized Halanay inequality, some delay-dependent criteria are derived to guarantee the synchronization error converges to a bounded ball, whose radius, referred to as the error level, is also estimated. Moreover, an optimization algorithm is established for error level estimate, and the feedback matrix design is also addressed. Finally, a chaotic neural network is used to illustrate the effectiveness of the proposed method. © 2011 Chinese Assoc of Automati.

关键词： Synchronization

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Automatic ocular artifact suppression from human operator's EEG based on a combination of independent component analysis and fuzzy c-means clustering techniques

Automatic ocular artifact suppression from human operator's ...

引用

作者： Wang, Raofen Zhang, Jianhua Wang, Xingyu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai 200237 China

ISBN: (纸本)9789881725592

关键词： Independent component analysis

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Target to efficient stimulus presentation sequence for P300 BCI

Target to efficient stimulus presentation sequence for P300 ...

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2011年中国智能自动化学术会议

作者：王冠坤金晶王行愚 Key Laboratory of Advanced Control and Optimization for Chemical Processes(Ministry of Education) School of Information Science and EngineeringEast China University of Science and Technology

The P300 potential is a positive peak of an event-related potential(ERP) that happens at 300 ms after a *** this study,both offline and online stages were carried out in the *** motivation of this paper is to compare two different P300 brain-computer interfaces(BCIs) which were evoked by random stimulus and non-random stimulus *** offline data demonstrated that the random stimulus induced a higher P300 amplitude and classification accuracy than the non-random *** offline data were used to train the Bayesian linear discriminate analysis(BLDA),which was used in offline experiment. The online results further proved that random stimulus P300 BCI yields better performance than non-random stimulus P300 BCI.

关键词： brain-computer interface P300 non-random stimulus random stimulus

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Evolutionary algorithm based on the evolution of Pareto archive and individual migration

Evolutionary algorithm based on the evolution of Pareto arch...

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International Symposium on advanced control of Industrial Processes (ADCONIP)

作者： Rongbin Qi Tianyi Ma Fan Sun Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Shanghai Business School Shanghai China

An evolutionary algorithm based on the parallel evolution of multiple single objective populations and Pareto archive population is proposed, which is not only suitable for solving multi-objective optimization, but also effective for multimodal function. For each single objective population, single objective evolutionary algorithm is applied to optimize separately each of multi-objective functions, where individuals generated by tournament selection from the union of single objective and Pareto Archive population form the single objective population of next generation. Especially, individuals in Pareto archive population also join evolutionary operations. Simulations manifest that the proposed method can realize the search from multiple directions to obtain the non-dominated solutions scattered more uniformly over the Pareto frontier with better convergence metric compared to well-known NSGA-II algorithm. Individual migration from Pareto archive population by tournament selection is also proved to have the advantage in improving the converging speed and converging precision. Moreover, for multimodal single objective function, simulations also show that ideal optimizing solution can be obtained by properly separating single objective function into multi-objective function and applying the above method.

关键词： Evolutionary computation optimization Convergence Polynomials Algorithm design and analysis Euclidean distance

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