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第27届中国过程控制会议（CPCC2016）

作者： Hong-feng Tao Deng-Ming Yang Hui-zhong Yang Wojciech Paszke Krzysztof Galkowski Key laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan University Institute of Control and Computation Engineering University of Zielona Gora

For a class of linear discrete uncertain systems with actuator fault and state delay,this paper presents an iterative learning fault tolerant control law in finite frequency *** defining equivalent two dimensional repetitive model and fault coefficient matrix for tracking control problem,the robust fault tolerant control scheme is designed against structured uncertainty by using output information from time and trial ***,based on the Kalman-Yakubovich-Popov(KYP) lemma,the condition for the stability of the repetitive control process is given in terms of the linear matrix inequality technology in frequency ***,the effectiveness and feasibility of the control algorithm is verified by the nozzle speed control simulation of injection molding process.

关键词： Iterative learning fault-tolerant control for discrete time delay uncertain systems Via KYP Lemma

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Parameter estimation algorithms for Hammerstein time-delay systems based on the OMP

Parameter estimation algorithms for Hammerstein time-delay s...

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第27届中国过程控制会议（CPCC2016）

作者： MAO Yawen DING Feng Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Control Science and Engineering Research Center Jiangnan University

This paper focuses on the parameter estimation of Hammerstein nonlinear systems with unknown time-delay andcolored *** means of the compressed sensing recovery theory and the auxiliary model identification idea,an orthogonalmatching pursuit iterative algorithm is proposed for estimating the system parameters and the *** proposed algorithmcan give highly accurate parameter estimates from a small number of *** simulation examples are provided todemonstrate its effectiveness.

关键词： Parameter estimation algorithms for Hammerstein time-delay systems based on the OMP

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Consensus problem of general linear first-order multi-agent network under communication delay

Consensus problem of general linear first-order multi-agent ...

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American control Conference

作者： Cheng-Lin Liu Fei Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi 214122 China

ISBN: (纸本)9781467386838

Usual consensus algorithm is adopted to solve the consensus problem of general linear first-order multi-agent systems subjected to communication delay. In addition to normal synchronously-coupled form and asynchronously-coupled form, we proposed a new compensation-based form for the consensus algorithm. With the help of frequency-domain analysis, consensus conditions are obtained for the agents to achieve an asymptotic consensus under three forms respectively. In terms of the dynamical consensus seeking, the new compensation-based algorithm demonstrates better delay robustness than the synchronously-coupled algorithm. Numerical examples show the correctness of our results.

关键词： Delays Heuristic algorithms Convergence Topology Algorithm design and analysis Multi-agent systems Eigenvalues and eigenfunctions Algorithm design and analysis Multi-agent systems Eigenfunctions Heuristic algorithms topology Converge delay NETWORKING AGENT

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A fast MPC algorithm for reducing computation burden of MIMO

A fast MPC algorithm for reducing computation burden of MIMO

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作者： Qi, Rongbin Mei, Hua Chen, Chao Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China

The computation burden in the model-based predictive control algorithm is heavy when solving QR optimization with a limited sampling step, especially for a complicated system with large dimension. A fast algorithm is proposed in this paper to solve this problem, in which real-time values are modulated to bit streams to simplify the multiplication. In addition, manipulated variables in the prediction horizon are deduced to the current control horizon approximately by a recursive relation to decrease the dimension of QR optimization. The simulation results demonstrate the feasibility of this fast algorithm for MIMO systems. © 2015 Elsevier B.V.

关键词： MIMO systems

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An orthogonal matching pursuit based algorithm for identification of a class of closed-loop systems

An orthogonal matching pursuit based algorithm for identific...

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第28届中国控制与决策会议

作者： Xue Han Yanjun Liu Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan University School of Internet of Things Engineering Jiangnan University

ISBN: (纸本)9781467397155

This paper considers the identification problem of a class of closed-loop systems with large *** the control plant and the feedback controller are required to be *** threshold orthogonal matching pursuit(TH-OMP)algorithm is applied to identify the closed-loop system *** identification contains two *** first is to identify the orders,time delays and the plant parameters using the TH-OMP *** second step is to identify the parameters of the feedback *** proposed method requires only a small number of sampling data.A simulation example is given to illustrate the effectiveness of the proposed algorithm.

关键词： Compressed sensing sparse parameter identification order identification orthogonal matching pursuit algorithm time-delay estimation

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Prediction of Air Pollution Based on FCM-HMM Multi-model

Prediction of Air Pollution Based on FCM-HMM Multi-model

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第35届中国控制会议

作者： Ling Wang Xi-yuan Xiao Jian-yao Meng School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education)

ISBN: (纸本)9781509009107

Air pollution is a growing problem arising from various activities and events. Monitoring and prediction of air pollution index remains an important public health concern. In this paper, FCM-HMM Multi-model is proposed to model the air pollution atmosphere system. First, FCM-HMM clustering is developed to mine the inherent states behind the meteorological observation sequence. Second, TS fuzzy inference multi-model is constructed for each state to predict the air pollution index. The experiment results proved the feasibility of the model on air pollution data in Beijing.

关键词： Hidden markov model Fuzzy c-means TS fuzzy inference multi-model Air pollution index(API)

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A greedy method for time-delay and parameter estimation of a class of closed-loop systems

A greedy method for time-delay and parameter estimation of a...

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第35届中国控制会议

作者： Xue Han Yanjun Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University School of Internet of Things Engineering Jiangnan University

ISBN: (纸本)9781509009107

This paper presents an identification method based on the compressive sampling orthogonal matching pursuit(Co Sa MP)algorithm to indirectly identify both the control plant and the feedback controller of a class of closed-loop systems with unknown orders and large time-delays. The identification method contains two steps. The first step is to identify the orders, time-delays and the parameters of the plant using the Co Sa MP algorithm. The second step is to extract the parameters of the feedback controller by using the model equivalence principle. The proposed method can effectively identify the time-delays and parameters of both the control plant and the feedback controller, and requires only a small number of sampling data. A simulation example is given to verify the effectiveness of the proposed algorithm.

关键词： Compressed sensing greedy algorithm indirect identification large time-delays

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Monitoring of Multi-mode Industrial process with Finite Gaussian Mixture Models

Monitoring of Multi-mode Industrial Process with Finite Gaus...

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第27届中国过程控制会议（CPCC2016）

作者： Kaixiang Peng Bingzheng Wang Liang Ma Mengyuan Wang Key Laboratory for Advanced Control of Iron and Steel Process of Ministry of Education School of Automation and Electrical EngineeringUniversity of Science and Technology Beijing

In this paper,considering the multi-mode characteristics of industrial process data,a novel multi-mode process monitoring method integrating effectively Gaussian mixture model with total projection to latent structures is *** method aims to handle the problem about performance monitoring of multi-mode *** first,principal component clustering is implemented based on optimal Gaussian distribution and statistical parameters acquired by GMM ***,after building the monitoring covariance model,the multi-mode total projection to latent structures(MTPLS) model is established to describe the statistical properties of the process by using the information of ***,a comprehensive statistics index is defined which is based on Bayesian theory,according to posterior probability of the monitored samples belonging to each Gaussian *** method can ensure the implementation of on-line fault monitoring for multi-mode *** validity of the proposed method is verified by the simulation of TE process data in this paper.

关键词： Gaussian Monitoring of Multi-mode Industrial process with Finite Gaussian Mixture Models

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LS-SVM based constrained inverse control for a class of nonlinear systems

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ICIC Express Letters 2016年第9期10卷 2141-2148页

作者： Ji, Nan Xu, Dezhi Liu, Fei Key Laboratory of Advanced Process Control for Light Industry Ministry of Education China Institute of Automation Jiangnan University No. 1800 Lihu Avenue Wuxi214122 China

In this paper, constrained inverse control based on least squares support vector machines (LS-SVM) is proposed for the general unknown nonlinear systems. The proposed control method includes three parts which are LS-SVM, inverse controller and dynamic anti-windup compensator. In this control design, LS-SVM is used to obtain the Jacobian information of the unknown nonlinear system and the inverse controller is designed to control the dynamic system. At the same time, in order to solve the control input saturation of the dynamic nonlinear system, a dynamic anti-windup compensator is proposed for accommodating the reference. Due to the proposed scheme, the output tracking ability of the closed-loop control system can be guaranteed in spite of constrained unknown nonlinear process. Finally, the simulation results for a solid oxide fuel cell (SOFC) are provided to demonstrate the effectiveness of the proposed constrained control approach. © 2016 ICIC International.

关键词： Nonlinear systems

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Estimation of spatially distributed processes using mobile sensor networks with missing measurements

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Chinese Physics B 2015年第2期24卷 109-115页

作者：江正仙崔宝同 Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan University School of IoT Engineering Jiangnan University School of Science Jiangnan University

This paper investigates the estimation problem for a spatially distributed process described by a partial differential equation with missing *** randomly missing measurements are introduced in order to better reflect the reality in the sensor *** improve the estimation performance for the spatially distributed process,a network of sensors which are allowed to move within the spatial domain is *** aim to design an estimator which is used to approximate the distributed process and the mobile trajectories for sensors such that,for all possible missing measurements,the estimation error system is globally asymptotically stable in the mean square *** constructing Lyapunov functionals and using inequality analysis,the guidance scheme of every sensor and the convergence of the estimation error system are ***,a numerical example is given to verify the effectiveness of the proposed estimator utilizing the proposed guidance scheme for sensors.

关键词： estimation spatially distributed process mobile sensor network missing measurements

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