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第35届中国控制会议

作者： Zhiwei Xu Wangli He The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

ISBN: (纸本)9781509009107

This paper is concerned with local synchronization of multiplex networks which correspond to networked systems coupled by two different *** network topologies associated with different coupling delays are ***,a sufficient delay-dependent condition for local synchronization is derived based on Lyapunov functional *** a decoupled method is applied in the case that two network topology matrices are diagonalizable and ***,a numerical example is given to illustrate the effectiveness of the proposed method.

关键词： Multiplex networks local synchronization multiple coupling delays

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Continuous use of ERP-based BCIs with different visual angles in ALS patients

arXiv

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arXiv 2017年

作者： Jin, Jing Allison, Brendan Z. Zhang, Yu Chen, Yan Zhou, Sijie Dong, Yi Wang, Xingyu Chchocki, Andrzej Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Department of Neurology Huashan hospital Fudan University Shanghai China Department of Cognitive Science University of California at San Diego San DiegoCA United States Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Wako-shi Japan Systems Research Institute PAS Warsaw Poland Torun Poland

Objective: Amyotrophic lateral sclerosis (ALS) is a rare disease, but is also one of the most common motor neuron diseases, and people of all races and ethnic backgrounds are affected. There is currently no cure. Brain computer interfaces (BCIs) can establish a communication channel directly between the brain and an external device by recognizing brain activities that reflect user intent. Therefore, this technology could help ALS patients in promoting functional independence through BCI-based speller systems and motor assistive devices. Methods: In this paper, two kinds of ERP-based speller systems were tested on 18 ALS patients to: (1) assess performance when they spelled 42 characters online continuously, without a break;and (2) to compare performance between a matrix-based speller paradigm (MS-P, mean visual angle 6◦) and a new speller paradigm that used a larger visual angle called the large visual angle speller paradigm (LS-P, mean visual angle 8◦). Results: Although results showed that there were no significant differences between the two paradigms in accuracy trend over continuous use (p>0.05), the fatigue during the LS-P condition was significantly lower than that of MS-P (p Copyright © 2017, The Authors. All rights reserved.

关键词： Brain computer interface

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

Stability Analysis of Full Form Dynamic Linearization Contro...

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第28届中国控制与决策会议

作者： Yuanming Zhu Shangtai Jin IEEE 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)9781467397155

Full form dynamic linearization controller based data-driven model free adaptive control algorithm has been studied in control *** method merely requires the I/O data of the plant to design the controller and is easy for ***,there still lacks necessary research on the conditions which can guarantee the stability of the closed loop *** paper presents a stability analysis result for a class of nonlinear *** some mild assumptions,the convergence of the output regulating error was derived by rigorous mathematical method,which guarantees the correctness of the proposed method in theory.

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

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Distributed reliable L2 — L∞ state estimation for discrete-time delayed neural networks with missing measurements

Distributed reliable L2 — L∞ state estimation for discrete...

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World Congress on Intelligent control and Automation (WCICA)

作者： Hao Zhang Huaicheng Yan 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 China

ISBN: (纸本)9781467384155

This paper is concerned with the distributed L 2 - L ∞ state estimation for discrete-time delayed neural networks with missing measurements and sensor failures. The model of neural networks is constructed by the combination with nonlinear functions and state space expressions. Time-varying delays are assumed to have the lower bounds and the upper bounds, and the missing measurements and the sensor failures are described by a stochastic Bernoulli distributed variable and uncertainties, respectively. By using a distributed network, Kronecker product, linear matrix inequalities (LMIs) technology and the solving optimization problems, a sufficient condition is derived to ensure that the filtering error system is stochastically asymptotically stable and achieves the optimal L 2 - L ∞ performance. Finally, a simulation example is given to demonstrate the effectiveness of the proposed method.

关键词： Robot sensing systems Neural networks Delays State estimation Linear matrix inequalities Reliability Sparse matrices

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Self-triggered control of uncertain networked systems under packet dropouts

Self-triggered control of uncertain networked systems under ...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Yang Tang The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781467380768

This paper is concerned with robust H∞ self-triggered control of networked systems. The system considered here includes parameter uncertainties and packet dropouts. In order to compensate for the existence of deterministic packet dropouts, a new self-triggered control scheme is proposed. The main feature of the proposed self-triggered control strategy is that the next control task is predicted based on the self-triggered technique, in which the predicted event interval is divided equally for the sake of packet dropouts. The triggered condition is developed to ensure the stability of the uncertain sampled system by utilizing an uncertain algebraic Riccati equation and the comparison principle. Finally, an example of the inverted pendulum of a cart is provided to illustrate the effectiveness of the proposed results.

关键词： Sampled data systems Uncertain systems Stability analysis Packet loss Real-time systems Riccati equations

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Consensus control for Agent Networks with Stationary Leaders

Consensus Control for Agent Networks with Stationary Leaders

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第28届中国控制与决策会议

作者： Wenbing Zhang Yang Tang Department of Mathematics Yangzhou University The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

ISBN: (纸本)9781467397155

This paper investigates the distributed containment control of multi-agent systems with multiple stationary leaders with event-triggering protocols.A distributed event-triggering protocol is proposed,where the triggering function of each agent with an exponentially decreasing threshold is developed to guarantee the convergence of the followers to the convex hull formed by the ***,simulations are given to illustrate the proposed event-triggering algorithm.

关键词： Sampled-data control Event-triggering control Containment control Multi-agent systems

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Adaptive synchronization of complex dynamical networks with neural networks nodes and unmatched parameters

Adaptive synchronization of complex dynamical networks with ...

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第28届中国控制与决策会议

作者： Yi Qu Yijun Zhang Wangli He School of Automation Nanjing University of Science and Technology The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

ISBN: (纸本)9781467397155

This letter is on the design problem of global asymptotical adaptive synchronization for a class of complex dynamical *** the considered networks,the dynamics of each node are approximated by a class of neural networks(NNs).The parameters of the NNs in the complex dynamical networks are unmatched with the ones in the desired dynamical ***,the coefficient matrix of the adaptive controller under consideration is an arbitrary matrix instead of an identity *** adaptive nonlinear controller is *** using Lyapunov method and some properties of Kronecker product,some sufficient conditions are proposed to ensure the dynamics of the considered network globally asymptotically synchronize with the desired *** particular,the proposed criteria for network synchronization are in terms of linear matrix *** two variables are used in each criterion and the variables are not inside of any Kronecker ***,the conditions are easy to check.A numerical example is presented to show the effectiveness and applicability of the proposed approach.

关键词： Complex dynamical networks adaptive synchronization neural networks parameter unmatched

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Exponential stability and L2 control for delayed switched systems with mode-dependent average dwell time

Exponential stability and L2 control for delayed switched sy...

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International Conference on Information and Automation (ICIA)

作者： Qian Yang Huaicheng Yan Hao Zhang Mengling Wang 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 Science and Engineering Tongji University Shanghai China

ISBN: (纸本)9781509041039

This paper investigates the problem of robustly globally uniformly exponential stability and L 2 control for a class of switched systems with time-varying delay by using mode-dependent average dwell time (MDADT) approach. The MDADT approach is more applicable in practice than the average dwell time method in which each mode in the underlying system has its own average dwell time. Firstly, some sufficient conditions for robustly exponential stability is given by using the MDADT approach and piecewise Lyapunov function. Secondly, the L 2 -gain of the switched system with the external disturbance is analyzed. Then, the state feedback controller gain is obtained to ensure the exponential stability of the switched system. Finally, a numerical example is provided to illustrate the effectiveness of the theoretical results.

关键词： Switched systems Switches control theory Stability criteria

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Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion

Removal of EEG artifacts for BCI applications using fully Ba...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yu Zhang Qibin Zhao Guoxu Zhou Jing Jin Xingyu Wang Andrzej Cichocki Key Laboratory for Advanced Control and Optimization for Chemical Processes East China University of Science and Technology China Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Japan Skolkowo Institute of Science and Technology Moscow Russia

High accuracy of electroencephalogram (EEG) classification can hardly be achieved if the signals are contaminated by severe artefacts. One helpless way to avoid such artefacts is usually to directly discard the severely disturbed EEG segments. This study considers a more elegant way that tries to recover the disturbed segments from other undisturbed segments. The possible artefacts in EEG are treated as missing values. A Bayesian tensor factorization (BTF) based method is proposed to implement EEG completion for artefact removal. By specifying a sparsity-inducing hierarchical prior, the underlying low-rank tensor is discovered from incomplete EEG tensor with automatically inferred model parameters. The EEG missing values are effectively predicted with robustness to overfitting. Effectiveness of the BTF algorithm is demonstrated on EEG data recorded from seven subjects in a brain-computer interface paradigm based on event-related potentials.

关键词： Electroencephalography Tensile stress Bayes methods Brain modeling Feature extraction Brain-computer interfaces Electric potential

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Impulsive quasi-synchronization of delayed dynamic networks with asymmetric connections

Impulsive quasi-synchronization of delayed dynamic networks ...

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Annual Conference of Industrial Electronics Society

作者： Wangli He Chen Peng Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China School of Mechatronic Engineering and Automation Shanghai University P.R. China

Quasi-synchronization of heterogenous dynamic networks is studied by using impulsive control in this paper. The asymmetric network connections are considered. First, the weighted average state is introduced as the virtual leader. By defining the synchronization error between the virtual leader and the network node, impulsive quasi-synchronization is analyzed and a criterion is derived to ensure quasi-synchronization in the delayed heterogenous network. Then delayed networks with symmetric connections and delay-free networks are studied, respectively, with simpler conditions obtained. Numerical simulations demonstrate the effectiveness of the derived results.

关键词： Synchronization Heterogeneous networks Eigenvalues and eigenfunctions Trajectory Network topology Optimization chemical processes

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