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Reaction mechanism of methyl nitrite dissociation during co catalytic coupling to dimethyl oxalate:A density functional theory study

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Chinese Journal of chemical Engineering 2016年第1期24卷 132-139页

作者： Chen Fan Man Luo Wende Xiao Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology (ECUST) School of Chemistry and Chemical Engineering Shanghai Jiao Tong University (SJTU)

Dissociation of methyl nitrite is the first step during CO catalytic coupling to dimethyl oxalate followed by hydrogenation to ethyl glycol in a typical coal to liquid process. In this work, the first-principle calculations based on density functional theory were performed to explore the reaction mechanism for the non-catalytic dissociation of methyl nitrite in the gas phase and the catalytic dissociation of methyl nitrite on Pd(111) surface since palladium supported on alpha-alumina is the most effective catalyst for the coupling. For the non-catalytic case, the calculated results show that the CH_3O–NO bond will break with a bond energy of 1.91 eV, and the produced CH_3O radicals easily decompose to formaldehyde, while the further dissociation of formaldehyde in the gas phase is difficult due to the strong C–H bond. On the other hand, the catalytic dissociation of methyl nitrite on Pd(111) to the adsorbed CH_3O and NO takes place with a small energy barrier of 0.03 eV. The calculated activation energies along the proposed reaction pathways indicate that(i) at low coverage, a successive dehydrogenation of the adsorbed CH_3O to CO and H is favored while(ii) at high coverage, hydrogenation of CH_3O to methanol and carbonylation of CH_3O to methyl formate are more preferred. On the basis of the proposed reaction mechanism,two meaningful ways are proposed to suppress the dissociation of methyl nitrate during the CO catalytic coupling to dimethyl oxalate.

关键词： Methyl nitrite Catalytic Non-catalytic Dissociation Density functional theory

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State Estimation Moving Window Gradient Iterative Algorithm for Bilinear Systems Using the Continuous Mixed p-norm Technique

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Computer Modeling in Engineering & Sciences 2023年第2期134卷 873-892页

作者： Wentao Liu Junxia Ma Weili Xiong Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) School of Internet of Things EngineeringJiangnan UniversityWuxi214122China

This paper studies the parameter estimation problems of the nonlinear systems described by the bilinear state space models in the presence of disturbances.A bilinear state observer is designed for deriving identification algorithms to estimate the state variables using the input-output *** on the bilinear state observer,a novel gradient iterative algorithm is derived for estimating the parameters of the bilinear systems by means of the continuous mixed p-norm cost *** gain at each iterative step adapts to the data quality so that the algorithm has good robustness to the noise ***,to improve the performance of the proposed algorithm,a dynamicmoving window is designed which can update the dynamical data by removing the oldest data and adding the newestmeasurement data.A numerical example of identification of bilinear systems is presented to validate the theoretical analysis.

关键词： Bilinear state space model parameter estimation moving window continuous mixed p-norm

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Development of a Poly(vinyl chloride)-based Nitrate Ion-selective Electrode

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chemical Research in Chinese Universities 2012年第6期28卷 957-962页

作者： HE Meng-meng YANG Hui-zhong Key Laboratory of Advanced Control in Light Industry Process Ministry of Education Jiangnan University Wuxi 214122 P. R. China

The authors developed a nitrate ion-selective electrode（ISE） based on poly（vinyl chloride）（PVC） membrane with methyltrioctylammonium nitrate as a carrier and 1-decanol as a *** performance of the nitrate-sensitive membranes was optimized by tuning the composition of *** electrode exhibits a linear response with a Nernstian slope of（52±1.0） mV per decade for the nitrate ion concentration ranging from 5.8×10-5 mol/L to 1.0 mol/*** electrode can be used to detect a low concentration of nitrate ions down to 3×10-5 mol/L in a pH range of 2.1―11.5 without any *** advantage of the electrode includes simple preparation,short response time and good *** detection performance of the novel electrode on nitrate ions has been tested for water samples.

关键词： Poly(vinyl chloride)(PVC) Methyltrioctylammonium nitrate Nitrate-selective electrode Potentiometric sensor

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GPU-based coevolutionary particle swarm optimization 36

GPU-based coevolutionary particle swarm optimization

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第36届中国控制会议

作者： ZHAO Liang Zhu Yanxing ZHANG Jianyu Ye Zhencheng Key Laboratory of Advanced Control and Optimization for Chemical Process(Ministry of Education) East China University of Science and Technology Ethylene Plant of Jilin Petrochemical Company Ltd.PetroChina

ISBN: (纸本)9781538629185

Coevolutionary particle swarm optimization（CPSO） algorithm has been investigated and applied in the real world *** tackling the large-scale and complex real time optimization problems,the running time of CPSO algorithm is a *** this paper,Graphics processing Unit（GPU） is introduced to provide speedup in order to meet the real time *** CPSO algorithm has been implemented on GPU concurrently using the CUDA *** performance and run time of CPU-based and GPU-based CPSO algorithms are compared in *** experiment result shows that the GPU-based parallel computation mode can shorten the run time of CPSO algorithm apparently.

关键词： GPU CUDA Particle swarm optimization Coevolutionary particle swarm optimization

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Active training sample selection and updating strategy for near-infrared model with an industrial application

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Chinese Journal of chemical Engineering 2019年第11期27卷 2749-2758页

作者： Kaixun He Kai Wang Yayun Yan College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Training sample selection is widely accepted as an important step in developing a near-infrared(NIR) spectroscopic model. For industrial applications, the initial training dataset is usually selected empirically. This process is time-consuming, and updating the structure of the modeling dataset online is difficult. Considering the static structure of the modeling dataset, the performance of the established NIR model could be degraded in the online process. To cope with this issue, an active training sample selection and updating strategy is proposed in this work. The advantage of the proposed approach is that it can select suitable modeling samples automatically according to the process information. Moreover, it can adjust model coefficients in a timely manner and avoid arbitrary updating effectively. The effectiveness of the proposed method is validated by applying the method to an industrial gasoline blending process.

关键词： Near-infrared spectroscopy chemical processes process systems Soft sensor Gasoline blending

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Time-delayed bilateral teleoperation using wave variable with prediction in three channel control architecture

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High Technology Letters 2013年第1期19卷 12-17页

作者：于振中 Yan Jihong Hui Jing Zhao Jie Ma Yonghu Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University State Key Laboratory of Robotics and System Harbin Institute of Technology

This paper proposes a novel method for incorporating wave domain prediction in a three-channel(3CH)architecture,which is the optimal architecture from a transparency point of view,to overcome the poor transparency problem of using the wave variable method in a time-delay teleoperation system.A 3CH teleoperation control architecture is established by selecting parameters of the 4CH architecture sensibly for the system without force sensor in the master *** communication channel is divided into a two-port model by combining force and velocity information reasonably to extend the wave variable method to a 3CH *** the I/O signal of the two-port model is transformed into wave variable.A predictor is added to the wave domain of the master side to further improve the transparency of the system,and a regulator is designed to ensure the passivity of the *** results show that the proposed method can guarantee stability and improve the transparency of the teleoperation system with time-delay.

关键词： bilateral teleoperation three-channel wave variable wave domain prediction time-delay

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Adaptive neural output feedback control for stochastic nonlinear systems with unknown control directions

Adaptive neural output feedback control for stochastic nonli...

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第三十二届中国控制会议

作者： Yu Zhaoxu Li Shugang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Department of Industrial Engineering and Logistics Shanghai Jiao Tong University

ISBN: (纸本)9781479900305

This paper focuses on the problem of adaptive output feedback stabilization for a class of stochastic nonlinear system with unknown control *** using a linear state transformation,the unknown control coefficients are lumped together, such that the original system is transformed to a new system for which control design becomes *** employing the inputdriven observer,a novel adaptive neural network(NN) output-feedback controller which only contains one adaptive parameter is developed for such systems by using backstepping technique and NNs' *** proposed control design guarantees that all the signals in the closed-loop systems are 4-moment semi-globally uniformly ultimately bounded.

关键词： stochastic systems output-feedback neural network(NN) Nussbaum function backstepping

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Adaptive output consensus for heterogeneous nonlinear multi-agent systems with multi-type input constraints under switching-directed topologies

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control Theory and Technology 2021年第2期19卷 260-272页

作者： Wei Zhang Zhaoxu Yu Shugang Li Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and TechnologyShanghai200237China Department of Information Management Shanghai UniversityShanghai200444China

This study concentrates on solving the output consensus problem for a class of heterogeneous uncertain nonstrict-feedback nonlinear multi-agent systems under switching-directed communication topologies,in which all followers are subjected to multi-type input constraints such as unknown asymmetric saturation,unknown dead-zone and their integration.A unified representation is presented to overcome the difficulties originating from multi-agent input ***,the uncertain system functions in a non-lower triangular form and the interaction terms among agents are dealt with by exploiting the fuzzy logic systems and their special ***,by introducing a nonlinear filter to alleviate the problem of“explosion of complexity”during the backstepping design,a distributed common adaptive control protocol is proposed to ensure that the synchronization errors converge to a small neighborhood of the origin despite the existence of multiple input constraints and arbitrary switching communication *** stability analysis and simulation results are conducted to show the effectiveness and performance of the proposed control methodology.

关键词： Nonlinear multi-agent system Output consensus Fuzzy logic system Input constraint Switching topology

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Analysis and Design of the Time-delay Compensation for Networked control Systems with Random Communication Delay 35

Analysis and Design of the Time-delay Compensation for Netwo...

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第35届中国控制会议

作者： LIU Ting JIANG Shun PAN Feng Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University

ISBN: (纸本)9781509009107

Aiming at the compensation issues of the random communication delay in networked control systems,this paper proposes a method to design the time-delay compensation controller based on generalized predictive *** compensation controller consists of the network predictor and the time-delay compensator,which is used to make up for the delay with different *** from the traditional determination method,the control parameters depend on the random delay is given in this paper,which can improve the system ***,the stability conditions of the closed-loop control system are also *** True Time toolbox to simulate the real network communication,both of fixed delay and stochastic delay in networked environment are considered to analyze the compensating performance,and the corresponding effect of different control *** simulated results illustrate a better performance of the varying-parameter compensation controller than the fixed one.

关键词： networked control systems generalized predictive control random delay varying parameters stability

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Probability hypothesis density filter with adaptive parameter estimation for tracking multiple maneuvering targets

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Chinese Journal of Aeronautics 2016年第6期29卷 1740-1748页

作者： Yang Jinlong Yang Le Yuan Yunhao Ge Hongwei School of Internet of Things Engineering Jiangnan UniversityWuxi 214122China Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Wuxi 214122China

The probability hypothesis density(PHD) filter has been recognized as a promising technique for tracking an unknown number of targets. The performance of the PHD filter, however, is sensitive to the available knowledge on model parameters such as the measurement noise variance and those associated with the changes in the maneuvering target trajectories. If these parameters are unknown in advance, the tracking performance may degrade greatly. To address this aspect, this paper proposes to incorporate the adaptive parameter estimation(APE) method in the PHD filter so that the model parameters, which may be static and/or time-varying, can be estimated jointly with target states. The resulting APE-PHD algorithm is implemented using the particle filter(PF), which leads to the PF-APE-PHD filter. Simulations show that the newly proposed algorithm can correctly identify the unknown measurement noise variances, and it is capable of tracking multiple maneuvering targets with abrupt changing parameters in a more robust manner, compared to the multi-model approaches.

关键词： Adaptive parameter estimation Multiple target tracking Multivariate Gaussian distribution Particle filter Probability hypothesis density

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