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Performance and Implementations of Vibrotactile Brain-Computer Interface with Ipsilateral and Bilateral Stimuli

Journal of Donghua University(English Edition) 2018年第6期35卷 439-445页

作者： SUN Hongyan JIN Jing ZHANG Yu WANG Bei WANG Xingyu Key Laboratory of Advanced Control and Optmization for Chemical Processes East China University of Science and Technology

The tactile P300 brain-computer interface( BCI) is related to the somatosensory perception and response of the human brain,and is different from visual or audio BCIs. Recently,several studies focused on the tactile stimuli delivered to different parts of the human body. Most of these stimuli were symmetrically *** a fewstudies explored the influence of tactile stimuli *** the current study,we extensively tested the performance of a vibrotactile BCI system using ipsilateral stimuli and bilateral *** vibrotactile P300-based paradigms were tested. The target stimuli were located on the left and right forearms for the left forearm and right forearm( LFRF) paradigm,and on the left forearm and calf for the left forearm and left calf( LFLC)paradigm. Ten healthy subjects participated in this study. Our experiments and analysis showed that the bilateral paradigm( LFRF) elicited larger P300 amplitude and achieved significantly higher classification accuracy than the ipsilateral paradigm( LFLC). However, both paradigms achieved classification accuracies higher than 70% after the completion of several trials on average,which was usually regarded as the minimum accuracy level required for BCI system to be deemed useful.

关键词： brain-computer interface (BCI) tactile P300 ipsilateral stimuli bilateral stimuli paradigm left forearm right forearm left calf

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Masked GAN for unsupervised depth and pose prediction with scale consistency

arXiv

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arXiv 2020年

作者： Zhao, Chaoqiang Yen, Gary G. Sun, Qiyu Zhang, Chongzhen Tang, Yang The Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China The School of Electrical and Computer Engineering Oklahoma State University StillwaterOK74075 United States

Previous work has shown that adversarial learning can be used for unsupervised monocular depth and visual odometry (VO) estimation, in which the adversarial loss and the geometric image reconstruction loss are utilized as the mainly supervisory signals to train the whole unsupervised framework. However, the performance of the adversarial framework and image reconstruction is usually limited by occlusions and the visual field changes between frames. This paper proposes a masked generative adversarial network (GAN) for unsupervised monocular depth and ego-motion estimation. The MaskNet and Boolean mask scheme are designed in this framework to eliminate the effects of occlusions and impacts of visual field changes on the reconstruction loss and adversarial loss, respectively. Furthermore, we also consider the scale consistency of our pose network by utilizing a new scale-consistency loss, and therefore, our pose network is capable of providing the full camera trajectory over a long monocular sequence. Extensive experiments on the KITTI dataset show that each component proposed in this paper contributes to the performance, and both our depth and trajectory predictions achieve competitive performance on the KITTI and Make3D datasets. Copyright © 2020, The Authors. All rights reserved.

关键词： Generative adversarial networks

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An improved UKPK-PSO algorithm inspired from block chain technology for flexible job shop scheduling problem

An improved UKPK-PSO algorithm inspired from block chain tec...

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第三十八届中国控制会议

作者： Lin Yao Yabin Liu Houbao Zhao Haojie Ding Shanghai Polytechnic University Shanghai Lixin University of Accounting and Finance Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

The paper proposes a new encoding method inspired from the block chain technology, by which an operation sequence information and the corresponding machine information is integrated in an operation node and links all operation nodes to form an operation list with pointer technology of C++ program language. Accordingly, the paper designs an individual unit ID for every possible cases. Subsequently, it describes the process of searching the optimal solution of FJSP by implementing an improved UKPK-PSO algorithm, which hybridizes a varied PSO algorithm by getting the best information from K informants and the method of keeping the elitists for next generation in iterations. With the improved algorithm we can more efficiently traverse the solution space. After obtained some better solutions with the improved PSO, we continuously search the optimal solutions by tentatively changing the chosen machines of the dominant operations. Finally, it outputs the optimal solution through some limited iterations again. By analyzing the experiment results for the instances, the paper furtherly proves that the whole algorithm is effective for FJSP.

关键词： Flexible job shop scheduling problems Particle Swarm Optimal Algorithm Block chain Technology Operations Research

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Stationary bipartite consensus of second-order multi-agent systems: an impulsive approach

Stationary bipartite consensus of second-order multi-agent s...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Zhen Li Wenqing Wang Yongqing Fan Wenle Zhang School of Automation Xi-an University of Posts & Telecommunications Xi-an China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China

ISBN: (数字)9781728124858

ISBN: (纸本)9781728124865

This paper studies the stationary bipartite consensus problem of a kind of multi-agent systems with second-order dynamics, where the impulsive control approach is utilized to design the control protocol. The impulsive control law is only considered by using position-based information, and the structure of control law is induced by a structurally balanced graph. Then, the stationary bipartite consensus problem has been converted to a convergence problem with respect to a finite product of stochastic matrices. By using the norm matrix and convex theory, this convergence problem is proven to be stability, which means that the stationary bipartite consensus problem is ensured. Subsequently, a numerical example is given to show the obtained result.

关键词： Multi-agent systems Convergence Lyapunov methods Stability analysis Numerical stability Topology Synchronization

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Robust L2 disturbance attenuation for a class of uncertain Lipschitz nonlinear systems with input delay

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International Journal of control 2019年第5期92卷 1015-1021页

作者： Zuo, Zongyu Wang, Chunyan Yang, Wen Ding, Zhengtao Beijing China Beijing China School of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China

In this paper, we study a robust L2 disturbance attenuation problem that arises when applying the Artstein–Kwon–Pearson reduction transformation for a class of uncertain Lipschitz nonlinear systems with input delay and external disturbances. A conventional predictor-based feedback controller is adopted with the control gain matrix carefully identified by solving a couple of sufficient conditions in terms of linear matrix inequalities. Lyapunov–Krasovskii functionals are constructed to guarantee that the robust L2 disturbance attenuation problem can be solved by the proposed controller. A numerical example is included to validate the performance of the proposed controller. © 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.

关键词： controllers

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Sliding Mode control for Interval Type-2 Fuzzy System Under Fading Channels

Sliding Mode Control for Interval Type-2 Fuzzy System Under ...

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International Conference on control and Automation (ICCA)

作者： Yekai Yang Yugang Niu Bei Chen Yuanyuan Zou Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education Shanghai China School of Electric and Electronic Engineering Shanghai University of Engineering Science Shanghai China Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9781728190938

ISBN: (纸本)9781728190945

This paper addresses the problem of sliding mode control for discrete-time interval type-2 fuzzy system subject to fading channels. The multiplicative fading model is established for reflecting the fluctuation of the transmitted signals. Meanwhile, the membership function-dependent sliding function involves the fading coefficient. By using the membership functions depending on the fading signals, the mismatched interval type-2 fuzzy sliding mode controller is designed such that the state trajectories can be driven into the neighborhood of the specified sliding surface. Moreover, the closed-loop fuzzy system is ensured to be mean-square asymptotically stable. Finally, the proposed control scheme is verified by a numerical example.

关键词： Fading channels Fuzzy systems Stability analysis Random variables Numerical models Hidden Markov models Closed loop systems

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Predictive control for Continuous Stirred Tank Reactors

Predictive Control for Continuous Stirred Tank Reactors

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2019 International Conference on Informatics, control and Robotics 2019信息学、控制和机器人学国际会议(ICICR2019)

作者： Ioana NASCU Ioan NASCU Wen-li DU Sai GU Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Department of Chemical and Process Engineering University of Surrey Department of Automation Technical University of Cluj-Napoca

The paper focuses on the implementation of a model based predictive control(MBPC) method, for Continuous Stirred Tank Reactors. First, the modelling problem of a single irreversible exothermic reaction, taking place in a perfectly mixed continuously stirred tank reactor(CSTR) is presented. The dynamic model consists of differential material and energy balance equations. The control strategy is investigated and evaluated by performing simulations and analyzing the results. The disturbance rejection capacity of the control system(regulatory control performances) have been tested and compared with those obtained using a classical Proportional Integral Derivative(PID) based controller. The results show that this control strategy has good performances and can be efficiently used to control the CSTR.

关键词： Predictive control PID control chemical reactor Process model

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Quantum Go Machine

arXiv

引用

arXiv 2020年

作者： Qiao, Lu-Feng Gao, Jun Jiao, Zhi-Qiang Zhang, Zhe-Yong Cao, Zhu Ren, Ruo-Jing Zhang, Chao-Ni Hu, Cheng-Qiu Xu, Xiao-Yun Tang, Hao Ma, Zhi-Hao Jin, Xian-Min School of Physics and Astronomy State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China CAS Center for Excellence Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui230026 China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China School of Mathematical Sciences Shanghai Jiao Tong University Shanghai200240 China

Go has long been considered as a testbed for artificial intelligence. By introducing certain quantum features, such as superposition and collapse of wavefunction, we experimentally demonstrate a quantum version of Go by using correlated photon pairs entangled in polarization degree of freedom. The total dimension of Hilbert space of the generated states grows exponentially as two players take turns to place the stones in time series. As nondeterministic and imperfect information games are more difficult to solve using nowadays technology, we excitedly find that the inherent randomness in quantum physics can bring the game nondeterministic trait, which does not exist in the classical counterpart. Some quantum resources, like coherence or entanglement, can also be encoded to represent the state of quantum stones. Adjusting the quantum resource may vary the average imperfect information (as comparison classical Go is a perfect information game) of a single game. We further verify its nondeterministic feature by showing the unpredictability of the time series data obtained from different classes of quantum state. Finally, by comparing quantum Go with a few typical games that are widely studied in artificial intelligence, we find that quantum Go can cover a wide range of game difficulties rather than a single point. Our results establish a paradigm of inventing new games with quantum-enabled difficulties by harnessing inherent quantum features and resources, and provide a versatile platform for the test of new algorithms to both classical and quantum machine learning. Copyright © 2020, The Authors. All rights reserved.

关键词： Degrees of freedom (mechanics)

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Data-Driven Dynamic Modeling of the Acetylene Hydrogenation Process based on Nonlinear Slow Feature Analysis

Data-Driven Dynamic Modeling of the Acetylene Hydrogenation ...

引用

Asian control Conference

作者： Jingjing Guo Wenli Du Zhencheng Ye Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781728102634

The accuracy of process model has a significant impact on control and optimization. However, for complex time-variant systems, the traditional steady state modeling method is generally not effective on dynamic process. In this paper, a data-driven dynamic modeling method based on nonlinear slow feature analysis (SFA) is proposed to reduce the effect of deterioration with age, such as catalyst deactivation. Variables obtained by known mechanisms are used to consider nonlinear relationships between process variables, then, the SFA is executed to extract slowly changing characteristics, and finally, slow features predict model is constructed. The method is applied to the industrial acetylene hydrogenation reaction process, and it can be confirmed that the proposed method enables models to predict response accurately.

关键词： Catalysis Feature extraction Inductors Mathematical model optimization Hydrogen Analytical models

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Multi-task GANs for semantic segmentation and depth completion with cycle consistency

arXiv

引用

arXiv 2020年

作者： Zhang, Chongzhen Tang, Yang Zhao, Chaoqiang Sun, Qiyu Ye, Zhencheng Kurths, Jürgen Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Potsdam Institute for Climate Impact Research Potsdam14473 Germany Institute of Physics Humboldt University of Berlin Berlin12489 Germany

Semantic segmentation and depth completion are two challenging tasks in scene understanding, and they are widely used in robotics and autonomous driving. Although several studies have been proposed to jointly train these two tasks using some small modifications, like changing the last layer, the result of one task is not utilized to improve the performance of the other one despite that there are some similarities between these two tasks. In this paper, we propose multi-task generative adversarial networks (Multi-task GANs), which are not only competent in semantic segmentation and depth completion, but also improve the accuracy of depth completion through generated semantic images. In addition, we improve the details of generated semantic images based on CycleGAN by introducing multi-scale spatial pooling blocks and the structural similarity reconstruction loss. Furthermore, considering the inner consistency between semantic and geometric structures, we develop a semantic-guided smoothness loss to improve depth completion results. Extensive experiments on Cityscapes dataset and KITTI depth completion benchmark show that the Multi-task GANs are capable of achieving competitive performance for both semantic segmentation and depth completion tasks. © 2020, CC BY.

关键词： Semantic Segmentation

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