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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

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.

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 ...

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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

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. © 2011 Chinese Assoc of Automati.

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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Target to efficient stimulus presentation sequence for P300 BCI

Target to efficient stimulus presentation sequence for P300 ...

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2011年中国智能自动化会议

作者： WANG Guan-kun JIN Jing WANG Xing-yu Key Laboratory of Advanced Control and Optimization for Chemical Processes (Ministry of Education) School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 China

The P300 potential is a positive peak of an event-
　　related potential (ERP) that happens at 300 ms after
　　a stimulus. In this
　　study, both offline and online stages were carried
　　out in the experiment. 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
　　respectively. The offiine
　　data demonstrated that the random stimulus induced a
　　higher P300 amplitude and classification accuracy
　　than the non-random
　　stimulus. The 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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Automatic prediction of sleep level during day time short nap

Automatic prediction of sleep level during day time short na...

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IEEE/ICME International Conference on Complex Medical Engineering, CME

作者： Bei Wang Xiuyan Fu Xingyu Wang Masatoshi Nakamura Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education School of Information Science and Technology East China University of Science and Technology Shanghai China Research Institute of Systems Control Institute of Advanced Research and Education Saga University Saga Japan

The day time nap sleep has the significant prophylactic function to our health and working efficiency. In this study, the prediction of sleep level for day time short nap was investigated. The ultimate purpose was to develop the automatic analysis technique for nap sleep interpretation. Firstly, the conditional probabilities of sleep stage awake, stage 1 and stage 2 were calculated for the consecutive data segments based on a set of parameters. Secondly, the sleep level of next data segment was predicted according to the obtained conditional probabilities. The prediction of sleep level reflected the future sleep tendency and was helpful for automatic nap sleep interpretation.

关键词： Artificial intelligence Electromyography

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Dynamic RED: a modified random early detection

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Journal of Computational Information Systems 2011年第14期7卷 5243-5250页

作者： Cheng, Minjuan Wang, Hao Yan, Liming School of Electronic and Communication Engineering Shenzhen Polytechnic Shenzhen 518055 China Department of Automation Shanghai Jiao Tong University Ministry of Education of China Shanghai 200240 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education of China Shanghai 200237 China

Random early detection (RED) is an effective active queue management (AQM) algorithm controlling network congestion by average queue length. However, RED is over-sensitive to congestion degrees and its parameters. To overcome RED's shortcomings, this paper proposes a dynamic RED algorithm named DRED for enhanced performance. Two improvements are made: (1) DRED replaces the linear packet dropping function with a nonlinear function, which gives differential reactions to different network conditions. (2) Adaptation rule is introduced for the maximum packet dropping probability to stabilize the average queue length. By simulation comparisons, the results verify that DRED outperforms the original RED algorithm in terms of stability and robustness. DRED achieves stable average queue length and predictable queuing delay independent of number of TCP connections. Moreover, DRED solves RED's problems without introducing additional variable or much extra overhead. © 2011 Binary Information Press December, 2011.

关键词： Queueing theory

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Lag Quasi-Synchronization of Coupled Delayed Systems With Parameter Mismatch

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IEEE Transactions on Circuits and Systems I: Regular Papers 2011年第6期58卷 1345-1357页

作者： Wangli He Feng Qian Qing-Long Han Jinde Cao Key Laboratory of Advanced Control and Optimization of Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Centre of Intelligent and Networked Systems and the School of Information and Communication Technology Central Queensland University Rockhampton QLD Australia Department of Mathematics South-East University Nanjing China

This paper is concerned with lag synchronization of two coupled delayed systems with parameter mismatch. Due to parameter mismatch, complete lag synchronization can not be achieved. Therefore, a new lag quasi-synchronization scheme is proposed to ensure that coupled systems are in a state of lag synchronization with an error level. Several simple criteria are derived and the error level is estimated by applying a generalized Halanary inequality and matrix measure. Three examples are given to illustrate the effectiveness of the proposed lag quasi-synchronization scheme. It is shown that as the coupling strength increases, the estimated error level is close to the simulated one, which well supports theoretical results.

关键词： Synchronization Measurement uncertainty Delay Linear matrix inequalities Trajectory Delay effects Couplings

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