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Nonlinear adaptive switching control for a class of non-affine nonlinear systems

Chinese Journal of chemical Engineering 2016年第9期24卷 1243-1251页

作者： Miao Huang Xin Wang Zhenlei Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology School of Optical–Electrical and Computer Engineering University of Shanghai for Science and Technology Center of Electrical & Electronic Technology Shanghai Jiao Tong University

An improved nonlinear adaptive switching control method is presented to relax the assumption on the higher order nonlinear terms of a class of discrete-time non-affine nonlinear systems. The proposed control strategy is composed of a linear adaptive controller, a neural network(NN) based nonlinear adaptive controller and a switching mechanism. An incremental model is derived to represent the considered system and an improved robust adaptive law is chosen to update the parameters of the linear adaptive controller. A new performance criterion of the switching mechanism is designed to select the proper controller. Using this control scheme, all the signals in the system are proved to be bounded. Numerical examples verify the effectiveness of the proposed algorithm.

关键词： Non-affine nonlinear systems Nonlinear adaptive switching control Incremental model

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FS-SVDD based on LTSA and its application to chemical process monitoring

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Huagong Xuebao/CIESC Journal 2010年第8期61卷 1894-1900页

作者： Zhang, Shaojie Wang, Zhenlei Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Shanghai 200237 China

Dozens of advantages have been reported on using support vector data description (SVDD) in the fields of non-Gaussian process monitoring and fault diagnosis. However, during the SVDD model construction offline, usually the whole training data set is used. Due to the tremendous size of the data set, the computation burden for modeling is quite heavy, which leads to the difficulty in updating model online. Therefore, this paper proposes a fast SVDD algorithm on the basis of the feature samples. In this new algorithm, the feature samples are used in stead of the whole training data set for modeling in order to significantly reduce the computation complexity. Concurrently, PCA is replaced by the local tangent space alignment (LTSA) to extract the underlying manifold structure of the process data set, since the traditional dimension reduction methods, such as PCA, have poor capability to handle nonlinearity. Next SVDD is applied on the manifold. At last, corresponding statistical indices are used for fault detection purpose. The proposed method has been tested on the Tennessee Eastman (TE) process, while the simulation results show the efficiency of it. © All Rights Reserved.

关键词： process monitoring

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Study on Flue Gas Desulfurization process with Selective SO2 Removal by N-formylmorpholine

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China Petroleum processing & Petrochemical Technology 2019年第2期21卷 85-94页

作者： Long Jian Wang Jin Fan Chen Yang Minglei Zhong Weimin Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 SINOPEC Zhenhai Refining and Chemical Co. Ltd. Ningbo 315207

Absorptive separation for resource utilization by selective SO2 removal from flue gas is a potential method applicable in practice. A flue gas desulfurization process for SO2 utilization by selective absorption in a lab-scale absorption tower at atmospheric pressure using N-formylmorpholine (NFM) as the absorbent is developed to capture and concentrate the SO2 from flue gas, in which the CO2 content is several orders higher than that of SO2. The investigation of the effects of different operating conditions on the SO2 removal efficiency shows that the SO2 removal efficiency can be obviously enhanced by increasing NFM concentration, or decreasing the absorption temperature, the superficial gas velocity, the gas-liquid ratio, or the SO2 concentration in absorption solution. Under the optimum operating conditions (covering a temperature of 40 °C, a superficial gas velocity of <0.0165 m/s, a gas-liquid ratio of 200—250, a SO2 concentration in lean NFM solution of 0—10 mg/L, and a NFM concentration of 3 mol/L), the SO2 removal rate reaches over 99.5% while the absorption of CO2 is negligible. Similarly, the SO2 removal rate is as high as 99.5% obtained in consecutive absorption-desorption cycles. Desorption experiment results indicate that the absorption of sulfur dioxide is completely reversible and the release of SO2 from NFM is very easy and rapid at 104 °C. The absorption simulation result for desulfurization of flue gas vented from the industrial catalytic cracking regenerator shows that 98.0% of SO2 can be absorbed in the absorber and most of them are released in the desorber. The experimental and simulated results show that the desulfurization ability and regenerability of NFM solution is encouraging for the development of FGD process to capture the SO2 from flue gas.

关键词： flue gas desulfurization selective SO2 removal N-formylmorpholine absorption simulation

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Secure Impulsive Synchronization in Lipschitz-Type Multi-Agent Systems Subject to Deception Attacks

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IEEE/CAA Journal of Automatica Sinica 2020年第5期7卷 1326-1334页

作者： Wangli He Zekun Mo Qing-Long Han Feng Qian IEEE Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and TechnologyShanghai 200237China School of Software and Electrical Engineering Swinburne University of TechnologyMelbourne VIC 3122Australia

Cyber attacks pose severe threats on synchronization of multi-agent *** attack,as a typical type of cyber attack,can bypass the surveillance of the attack detection mechanism silently,resulting in a heavy ***,the problem of mean-square bounded synchronization in multi-agent systems subject to deception attacks is investigated in this *** control signals can be replaced with false data from controllerto-actuator channels or the *** success of the attack is measured through a stochastic variable.A distributed impulsive controller using a pinning strategy is redesigned,which ensures that mean-square bounded synchronization is achieved in the presence of deception *** sufficient conditions are derived,in which upper bounds of the synchronization error are ***,two numerical simulations with symmetric and asymmetric network topologies are given to illustrate the theoretical results.

关键词： Deception attacks impulsive control multi-agent systems(MASs) synchronization

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Modeling of oil near-infrared spectroscopy based on similarity and transfer learning algorithm

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Frontiers of chemical Science and Engineering 2019年第3期13卷 599-607页

作者： Yifei Wang Kai Wang Zhao Zhou Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Processes (Ministry of Education) East China University of Science and TechnologyShanghai 200237China School of information science and engineering East China University of Science and TechnologyShanghai 200237China

Near-infrared spectroscopy mainly reflects the frequency-doubled and total-frequency absorption information of hydrogen-containing groups (0 -H, C-H, N-H, S-H) in organic molecules for near-infrared lights with different wavelengths, so it is applicable to testing of most raw materials and products in the field of petrochemicals. However, the modeling process needs to collect a large number of laboratory analysis data. There are many oil sources in China, and oil properties change frequently. Modeling of each raw material is not only unfeasible but also will affect its engineering application efficiency. In order to achieve rapid modeling of near-infrared spectroscopy and based on historical data of different crude oils under different detection conditions, this paper discusses about the feasibility of the application of transfer learning algorithm and makes it possible that transfer learning can assist in rapid modeling using certain historical data under similar distributions under a small quantity of new data. In consideration of the requirement of transfer learning for certain similarity of different datasets, a transfer learning method based on local similarity feature selection is proposed. The simulation verification of spectral data of 13 crude oils measured by three different probe detection methods is performed. The effectiveness and application scope of the transfer modeling method under different similarity conditions are analyzed.

关键词： near-infrared spectroscopy transfer learning similarity modeling

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Event-triggered decentralized predictive control for coupled linear systems 36

Event-triggered decentralized predictive control for coupled...

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第36届中国控制会议

作者： YUAN Fenglin ZOU Yuanyuan NIU Yugang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Key Laboratory of System Control and Information Processing Department of AutomationShanghai Jiao Tong University

ISBN: (纸本)9781538629185

In this paper,we consider the problem of predictive control for a class of coupled linear *** solving a set of local optimization problems with decoupled cost functions and constraints,an event-triggered decentralized predictive control(DPC) scheme is *** event-triggering conditions only involving local information of every subsystem is derived and sufficient conditions of the recursive feasibility and the stability of close-loop control systems are also ***,a numerical example is given.

关键词： Coupled Linear Systems Decentralized Predictive control(DPC) Event-Triggered

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process Monitoring Based on Independent Component Contribution

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Journal of Donghua University(English Edition) 2017年第3期34卷 349-354页

作者：吕小条宋冰侍洪波谭帅 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University ofScience and Technology Shanghai 200237 China

Independent component analysis( ICA) has been widely applied to the monitoring of non-Gaussian processes. Despite lots of applications,there is no universally accepted criterion to select the dominant independent components( ICs). Moreover, how to determine the number of dominant ICs is still an open question. To further address this issue,a novel process monitoring based on IC contribution( ICC) is proposed from the perspective of information storage. Based on the ICC with each variable,the dominant ICs can be obtained and the number of dominant ICs is determined objectively. To further preserve the process information, the remaining ICs are not useless. As a result,all the ICs are regarded to be divided into dominant and residual subspaces. The monitoring models are established respectively in each subspace, and then Bayesian inference is applied to integrating monitoring results of the two subspaces. Finally, the feasibility and effectiveness of the proposed method are illustrated through a numerical example and the Tennessee Eastman process.

关键词： Independent Eastman Tennessee Bayesian preserve illustrated criterion universally remaining integrating

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Stabilization of LTI Systems via State Feedback over Digital Block-Fading Channels

Stabilization of LTI Systems via State Feedback over Digital...

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第三十二届中国控制会议

作者： XIAO Nan XIE Lihua NIU Yugang Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Ministry of Education EXQUISITUS Centre for E-City School of Electrical and Electronic Engineering Nangyang Technological University

ISBN: (纸本)9781479900305

This paper studies the state feedback stabilization of LTI plants over wireless block-fading channels. The packet-loss rate of each channel depends on power level and packet length used for transmission as well as channel power gain. Different from the case of fixed packet-loss rate, the packet-loss rate considered in this paper is random and time-varying as the channel power gain is so for wireless communication. When power level and packet length are assumed to be time-invariant for every transmission at each channel, necessary and sufficient conditions for mean square stabilizability via state feedback are given in terms of the unstable poles of the plant. The performance defined as the asymptotic mean square norm of the system state is also discussed for the scalar case.

关键词： Block-Fading Channels, Digital Communication, Packet Losses, Stabilization, State Feedback

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Consensusability of Linear Multi-Agent Systems over Analog Fading Networks via Dynamic Output Feedback 33

Consensusability of Linear Multi-Agent Systems over Analog F...

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第三十三届中国控制会议

作者： Xu Liang Xiao Nan Xie Lihua EXQUISITUS Centre for E-CitySchool of Electrical and Electronic EngineeringNanyang Technological University Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education

ISBN: (纸本)9781479947249

This paper studies the dynamic output feedback consensus problem of multi-agent systems over analog fading *** the case of undirected communication topology,both sufficient and necessary conditions are presented for mean square consensus of discrete-time LTI multi-agent systems over analog fading *** is further shown that in the case of single output,the sufficient condition is also necessary,while for other cases,the gap between the sufficient condition and the necessary condition may be ***,sufficient and necessary conditions are also provided for the mean square consensus over a balanced directed communication topology by using Lyapunov *** the derived criteria demonstrate intricately how system dynamics,communication quality and network topological structure interplay with each other to allow the existence of a linear distributed consensus controller.

关键词： discrete-time multi-agent systems,dynamic output feedback,consensusability,fading channels

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Multimode process Monitoring Based on the Density-Based Support Vector Data Description

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Journal of Donghua University(English Edition) 2017年第3期34卷 342-348页

作者：郭红杰王帆宋冰侍洪波谭帅 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University ofScience and Technology Shanghai 200237 China

Complex industry processes often need multiple operation modes to meet the change of production conditions. In the same mode,there are discrete samples belonging to this mode. Therefore,it is important to consider the samples which are sparse in the *** solve this issue,a new approach called density-based support vector data description( DBSVDD) is proposed. In this article,an algorithm using Gaussian mixture model( GMM) with the DBSVDD technique is proposed for process monitoring. The GMM method is used to obtain the center of each mode and determine the number of the modes. Considering the complexity of the data distribution and discrete samples in monitoring process,the DBSVDD is utilized for process monitoring. Finally,the validity and effectiveness of the DBSVDD method are illustrated through the Tennessee Eastman( TE) process.

关键词： Eastman Tennessee sparse utilized illustrated kernel Bayesian charts validity false

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