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Annual Conference of the IEEE Industrial Electronics Society

作者： Yilian Zhang Fuwen Yang Qing-Long Han Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Centre for Intelligent and Networked Systems Central Queensland University

ISBN: (纸本)9781479940318

In this paper, a linear unbiased minimum-variance filtering problem is considered for a class of systems with randomly multi-step sensor delays. A new mathematical model is established for the multi-step sensor delays. Different from the augmented method for dealing with delayed systems, a linear unbiased minimum-variance filter design method is proposed without augmenting the state vector, which effectively reduces the filter dimensions. A recursive algorithm for calculating the filter gain matrix is developed. The simulation results illustrate the effectiveness of the proposed method.

关键词： Networked control systems Filtering Recursive estimation Kalman filters Delay systems Stochastic processes Sensor system Communication networks

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H∞ controller design of event-triggered networked control systems

H∞ controller design of event-triggered networked control s...

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International Conference on Mechatronics and control (ICMC)

作者： Sheng Yan Huaicheng Yan Hongbo Shi Hao Zhang 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 Theory and and Engineering Tongji University Shanghai China

ISBN: (纸本)9781479925391

This paper deals with H ∞ controller design problem for event-triggered networked control systems (NCSs), where the next task release time and finishing time are predicted based on the sampled states. A new model of NCSs that involves the network conditions, state and event-triggered communication strategy is proposed. Based on this model, some novel criteria for the asymptotic stability analysis and H ∞ state feedback controller design of the event-triggered NCSs with time-varying delay are established to guarantee a prescribed H ∞ disturbance rejection attenuation level. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method.

关键词： Delays State feedback Networked control systems Actuators Stability analysis control design

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Modeling of batch process based on higher order partial least squares

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Huagong Xuebao/CIESC Journal 2014年第9期65卷 3527-3534页

作者： Wang, Jianping Hu, Yi Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Shanghai200237 China

The products of batch processes are closely related to the daily life of modern people, and it is crucial for batch process monitoring to establish a model based on the normal process data sets. In this paper, according to the characteristics of batch process, a new generalized multilinear regression model, termed the higher order partial least squares (HOPLS), is introduced with the aim to better model the three-way batch data. It differs substantially from the traditional modeling approach, and instead of unfolding the three-way array to a two-way array, it explains the data by a sum of orthogonal Tucker tensors. Higher order orthogonal iteration (HOSVD), tensor transformation and higher order orthogonal iteration (HOOI) are used to find the latent vectors, which contain the maximum information of independent variables and dependent variables simultaneously. And the loading vectors are calculated at the same time. For the new observation values, the dependent variables will be predicted through the output of the model. Finally, the feasibility and efficiency of the method are verified through the PenSim2.0 simulation platform. © All Rights Reserved

关键词： Tensors

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Adaptive strategy for time window length in SSVEP-based brain-computer interface

Adaptive strategy for time window length in SSVEP-based brai...

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International Conference on Mechatronics and control (ICMC)

作者： Yu Zhang Hehe Ma Jing Jin Xingyu Wang Key Laboratory for Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China Shanghai Electric Group Co Ltd Shanghai Shanghai CN

ISBN: (纸本)9781479925391

Most of the existed methods for steady-state visual evoked potential (SSVEP) recognition require a specified time window length (TWL) to estimate the dominant frequency components in EEG signals. Typically, the TWL is manually predetermined and then fixed during running of the SSVEP-based brain-computer interface (BCI), which may not give the optimal information transfer rate (ITR). This study proposes an adaptive strategy and integrates it into multivariate synchronization index for SSVEP recognition with the automatically determined TWL. The optimal TWL is adaptively selected according to the estimated synchronization index, which provides the relatively higher ITR for the SSVEP recognition than a fixed TWL does. Experimental results evaluated on nine healthy subjects demonstrated effectiveness of the proposed adaptive strategy for the TWL in SSVEP-based BCI.

关键词： Electroencephalography Synchronization Accuracy Brain-computer interfaces Indexes Correlation Frequency synchronization

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Separation model of Generalized Reference Curve Measurement for HPLC-DAD and it solution by multi-target Bare Bones Particle Swarm optimization

Separation model of Generalized Reference Curve Measurement ...

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IEEE International Conference on Bioinformatics and Biomedicine

作者： Lizhi Cui Josiah Poon Simon K. Poon Paul Kwan Junbin Gao Zhihao Ling School of Information Technologies The University of Sydney School of Science and Technology University of New England School of Computing and Mathematics Charles Sturt University Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology

ISBN: (纸本)9781479956708

In order to separate the chromatogram peaks and spectra from the High Performance Liquid Chromatography with Diode Array Detector (HPLC-DAD) data set, a separation model of Generalized Reference Curve Measurement and its solution by multi-target Bare Bones Particle Swarm optimization (GRCMmBBPSO) is proposed in this paper. Firstly, parameters are constructed which will generate Reference Curves (RCs) for chromatogram peaks. Secondly, the GRCM model is proposed to transform all these parameters to scalar values, which indicate the possibility for the HPLC-DAD data set containing chromatogram peaks similar to the RCs constructed by corresponding parameters. Then, the algorithm of mBBPSO is introduced to calculate the optimal parameters by minimizing the scalar values. Finally, the spectra are estimated. Through simulations and experiments, following conclusions are drawn: (1) the GRCMmBBPSO method can extract chromatogram peaks from the simulation data set without knowing the number of the compounds in advance even when a severe overlap and white noise exist;(2) the GRCMmBBPSO method can be applied to real HPLC-DAD data set.

关键词： HPLC-DAD separation Generalized Reference Curve Measurement model Multi-target Bare Bones PSO algorithm

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Sliding mode control for T-S fuzzy stochastic systems with Markovian switching

Sliding mode control for T-S fuzzy stochastic systems with M...

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第三十三届中国控制会议

作者： Bei Chen Yugang Niu Tinggang Jia Central Academe Shanghai Electric Group Co.Ltd. Key Laboratory of Advanced Control and Optimization for Chemical Process(East China University of Science and Technology) Ministry of Education Automation Division Shanghai Electric Group Co.Ltd.

This paper is concerned with the sliding mode control(SMC)problem for a class of T-S fuzzy stochastic systems with Markovian *** purpose of the problem addressed is to integrate the SMC method such that,for all admissible parameter uncertainty,external disturbance and state-dependent noise,the closed-loop system is globally asymptotically ***,it is not required that each nominal local system model shares the same input channel,which is usually assumed in some existing *** is shown that both the reachability of sliding surfaces and the stability of sliding mode dynamics can be ensured.

关键词： Markovian jumping systems,State-dependent noise,T-S fuzzy model,Sliding mode control

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Impulsive Synchronization of Complex Dynamical Networks with Distributed Delays

Impulsive Synchronization of Complex Dynamical Networks with...

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第三十三届中国控制会议

作者： Sumei Chu Wangli He Qing-Long Han Feng Qian The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Centre for Intelligent and Networked Systems Central Queensland University Rockhampton QLD 4702Australia

ISBN: (纸本)9781479947249

This paper investigates synchronization of complex dynamical networks with distributed-delay coupling via impulsive *** on the theory of impulsive functional differential equations and the concept of an average impulsive interval,sufficient conditions ensuring synchronization are *** illustrative example is given to show the effectiveness of the proposed method.

关键词： Synchronization,Impulsive control,Distributed-delay coupling

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Pinning synchronization of delayed dynamical networks via impulsive control

Pinning synchronization of delayed dynamical networks via im...

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International Conference on Mechatronics and control (ICMC)

作者： Sumei Chu Wangli He Qing-Long Han Feng Qian The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China Centre for Intelligent and Networked Systems Central Queensland University Rockhampton Australia

ISBN: (纸本)9781479925391

This paper investigates synchronization of dynamical networks with both system delay and transmission delay by applying pinning impulsive control. Based on the comparison theorem and the theory of impulsive functional differential equations, some novel criteria are obtained, from which the proportion of pinned nodes is able to be determined. A numerical example is given to verify the effectiveness of the theoretical results.

关键词： Synchronization Delays Trajectory Couplings Neural networks Delay effects Network topology

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Network design for distributed consensus estimation over heterogeneous sensor networks 19

Network design for distributed consensus estimation over het...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Yang, Wen Shi, Ling Yuan, Ye Wang, Xiaofan Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Department of Engineering University of Cambridge United Kingdom Department of Automation Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9783902823625

This paper considers distributed estimation over heterogeneous sensor networks. We propose a distributed estimation strategy based on PageRank algorithm, where the link weight depends on the edge estimation covariances. We prove that the proposed estimator obtains better estimates than one typical estimator under identical initial conditions. Motivated by the advantage of the sensors with high accuracy locating at important positions, we propose an optimal sensor deployment strategy to arrange locations for sensors in a given physical network. Numerical examples are provided to demonstrate the effectiveness of the proposed estimator, showing a better performance under the optimal sensor deployment. © IFAC.

关键词： Sensor networks

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Welding Robot Path optimization Based on Hybrid Discrete PSO

Welding Robot Path Optimization Based on Hybrid Discrete PSO

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International Symposium on Computational Intelligence and Design, ISCID

作者： Xuewu Wang Minghao Li Lika Xue Dongyan Ding Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China Institute of Microelectronic Materials and Technology Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781479970063

Welding robots application can greatly enhance the production efficiency. And effective welding robot path planning is important for improving the efficiency of welding robot. Due to its simplicity, high search accuracy and fast convergence rate, the particle swarm optimization (PSO) algorithm was used to study welding robot in this paper. A novel hybrid discrete PSO algorithm (HDPSO) was proposed to improve the basic discrete PSO after the light ray optimization, genetic algorithm and chaos optimization strategies were combined first. Then, the HDPSO was used to solve 3-dimensional welding path planning problem. Besides, a welding robot path planning simulation system was designed to realize user friendly path planning, and its practicality was verified by performance test.

关键词： optimization Welding Robots Path planning Cities and towns Chaos Genetic algorithms

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