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Stability analysis and stabilization of semi-Markov jump linear systems with unavailable sojourn-time information

Science China(Information Sciences) 2024年第7期67卷 211-223页

作者： Xiaotai WU Yang TANG Shuai MAO Ying ZHAO School of Mathematics and Physics Anhui Polytechnic University Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

This study addresses the stability and stabilization problems of discrete-time semi-Markov jump linear systems(S-MJLSs) with unavailable sojourn-time information. The sojourn-time probability mass functions(S-TPMFs) of discrete-time semi-Markov chains are no longer confined to the geometric distribution, and it is difficult to obtain accurate and comprehensive information for S-TPMFs in practice. This is because S-TPMFs are usually deduced from the statistical characteristics according to the sampled-data, while adequate samples are often costly and time consuming. In this study, when the S-TPMFs for semi-Markov chains are assumed to be unavailable, the σ-error mean square stability is investigated for discrete-time S-MJLSs with some widely used assumptions; for semi-Markov chains, only the transition probability matrix of the embedded chain is used. In addition, the existence conditions of the effective controller are provided for closed-loop systems without using the information of S-TPMFs. Numerical examples are presented to illustrate the validity of the obtained theoretical results.

关键词： semi-Markov chain semi-Markov jump linear systems σ-error mean square stability unavailable sojourn-time information

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Dynamic soft sensor modeling based on time series error compensation

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Huagong Xuebao/CIESC Journal 2010年第2期61卷 439-443页

作者： Du, Wenli Guan, Zhenqiang Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

Because static soft sensor modeling can not reflect the dynamic information of industrial processes, which lead to worse estimation precision and robustness. A dynamic soft sensor modeling based on least square vector machine(LS-SVM) and ARMA time series prediction modeling was presented. A static soft sensor model based on LS-SVM was established firstly, and then dynamic correction in the static model was made by using the dynamic estimation of prediction error in ARMA to improve the dynamic response characteristics. Finally, the proposed LSSVM-ARMA was used to predict the concentration of ethane in ethylene distillation. Simulation indicated that this method featured good approximation and good generalization ability as compared with LSSVM, and could be used in soft sensor. © All Rights Reserved.

关键词： Time series

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Design of a visual information-based brain-computer interface control system

Design of a visual information-based brain-computer interfac...

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International Conference on Natural Computation (ICNC)

作者： Huiping Hu Jing Jin Yu Zhang Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai China

ISBN: (纸本)9781467376808

Brain computer interface (BCI) could help patients to manipulate external devices based on the specific brain activities. One of the most popular BCI systems is the visual-based BCI system. Mostly, users were asked to pay attention not only to the target stimulus, but also to the real control target which would bring high workload to users and affect the control efficiency of BCI systems. In this paper, a real-time monitoring system was developed to solve this problem by showing the environment information from the camera on the computer screen. Five subjects took part in this experiment and all of them were asked to control a small car to the target position. Our result showed that all subjects could finish the task within two or three minutes. In this study, subject did not need to switch their attention on the car which was out of their sight, and it would help to improve the usability of BCI in the practical application.

关键词： Electrodes Silicon Biology Monitoring Electroencephalography Navigation Robots

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Minimum time dynamic optimization using double-layer optimization algorithm

Minimum time dynamic optimization using double-layer optimiz...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xuan Guo Wenli Du Rongbin Qi Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education 200237 China

A double-layer optimization algorithm (DLOA) was proposed to solve the minimum time dynamic optimization problem. The first step of DLOA was to discrete time region and control region. The inner optimization is to construct optimal control problem with free final states. Differential evolution algorithm is used to find the optimal solution in given terminal time, then the optimization results was compared with the threshold set. In the outer, DLOA calculated the time range of next iteration according to the inner calculation. When applied to typical minimum time dynamic optimization problem, DLOA demonstrated a competitive optimal searching ability and more accurate optimization results. DLOA could solve the optimization problem with local optimum and applied to models without gradient information.

关键词： Optimization Heuristic algorithms chemical engineering Computers Educational institutions chemicals Dynamic programming

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Synchronization of heterogeneous dynamical networks via distributed impulsive control

Synchronization of heterogeneous dynamical networks via dist...

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作者： He, Wangli Han, Qing-Long Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China Centre for Intelligent and Networked Systems Central Queensland University RockhamptonQLD4702 Australia

ISBN: (纸本)9781479940325

This paper studies global synchronization between a heterogeneous dynamical network and a known target trajectory via distributed impulsive control. Synchronization with an error level, called quasi-synchronization, is analyzed by utilizing the time-varying Lyapunov function. Some sufficient quasi-synchronization conditions are presented and explicit expressions of error levels are derived. Furthermore, the effects of the pinning control matrix and the coupling strength are explored. Unlike the continuous pinning feedback control, it is shown that a large coupling strength will destroy synchronization in the present of impulsive controller, which is also verified by our simulations. © 2014 IEEE.

关键词： Synchronization

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FRDPC subspace construction integrated with Bayesian inference for efficient monitoring of dynamic chemical processes 36

FRDPC subspace construction integrated with Bayesian inferen...

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第36届中国控制会议

作者： Yang Wang Qingchao Jiang Jingqi Fu School of Mechatronic Engineering and Automation Shanghai University School of Electric Engineering Shanghai Dianji University Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

ISBN: (纸本)9781538629185

Modern chemical processes are usually characterized by large-scale,complex correlation,and strong dynamics,and monitoring of such processes is *** paper proposes a performance-driven fault-relevant dynamic principal component(FRDPC) subspace construction integrated with Bayesian inference method to achieve efficient monitoring for dynamic chemical ***,dynamic principal component analysis is employed to deal with both auto-correlation and cross-correlation among ***,considering fault information has no definite mapping to a certain dynamic principal component(DPC) and the existence of non-beneficial DPCs may cause redundancy in the monitoring,an FRDPC subspace is constructed for each fault through the performance-driven DPC *** new process measurements are examined in each FRDPC subspace as well as the residual *** monitoring results in all subspaces are fused to a comprehensive index through Bayesian inference to provide an intuitive indication of the process *** studies on a numerical example and the Tennessee Eastman benchmark process indicate the efficiency.

关键词： fault detection dynamic principal component analysis Bayesian inference dynamic chemical processes

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Event-triggered H∞ filtering for networked control systems with time-varying delay

Event-triggered H∞ filtering for networked control systems ...

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Chinese control Conference (CCC)

作者： Sheng Yan Huaicheng Yan Hongbo Shi Haitao Zhao Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education Shanghai China

This paper deals with the H ∞ filter 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. The closed-loop filtering error system is modeled as a linear system with an interval time-varying delay and event-triggered communication strategy. Based on this model, some novel criteria for the asymptotic stability analysis and H ∞ filter 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 Networked control systems Asymptotic stability Delay systems Time-varying systems Vectors

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Design and control of a p-xylene oxidation process

Design and control of a p-xylene oxidation process

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作者： Tao, Lili Hu, Zhihua Qian, Feng College of Engineering Shanghai Second Polytechnic University Shanghai201209 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China

The p-xylene (PX) oxidation process is of great industrial importance because of the strong demand of the global polyester fiber. A steady-state model of the PX oxidation has been studied by many researchers. In our previous work, a novel industrial p-xylene oxidation reactor model using the free radical mechanism based kinetics has been developed. However, the disturbances such as production rate change, feed composition variability and reactor temperature changes widely exist in the industry process. In this paper, dynamic simulation of the PX oxidation reactor was designed by Aspen Dynamics and used to develop an effective plantwide control structure, which was capable of effectively handling the disturbances in the load and the temperature of the reactor. Step responses of the control structure to the disturbances were shown and served as the foundation of the smooth operation and advanced control strategy of this process in our future work. © 2015 Elsevier B.V.

关键词： Oxidation

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Multiple models adaptive control based on cluster-optimization for a class of nonlinear system

Multiple models adaptive control based on cluster-optimizati...

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10th World Congress on Intelligent control and Automation, WCICA 2012

作者： Huang, Miao Wang, Zhenlei Qian, Feng Wang, Xin Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai 200237 China Center of Electrical and Electronic Technology Shanghai Jiao Tong University Shanghai 200237 China

ISBN: (纸本)9781467313988

For a class of nonlinear discrete time system with fast time-varying or jumping parameters, a multiple models adaptive controller (MMAC) based on cluster-optimization is proposed. Based on the input-output data, the sample data are classified into several clusters by the fuzzy kernel clustering adaptive algorithm. Then the local models can be constructed corresponding clusters by the least square method. To improve the transient response during the change of the working points, besides the distance, the directional derivative of system is computed also. It is utilized to identify the system trend of changing working point. Before the changing occurs, new weighted models are developed by the corresponding local models, indicated by the system directional derivative. Meanwhile the distance between the data and the centre of clusters are used to find the weighted coefficients. So a better approach ability can be got than that designed only by the distance. The simulation results show that the proposed controller is superior to that of the conventional multiple models controller. © 2012 IEEE.

关键词： Transient analysis

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A framework for high-dimensional robust evolutionary multi-objective optimization 18

A framework for high-dimensional robust evolutionary multi-o...

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2018 Genetic and Evolutionary Computation Conference, GECCO 2018

作者： Du, Wei Tong, Le Tang, Yang Key Laboratory of Advanced Control Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai China

ISBN: (纸本)9781450357647

This paper proposes a framework for solving high-dimensional robust multi-objective optimization problems. A decision variable classification-based framework is developed to search for robust Pareto-optimal solutions. The decision variables are classified as highly and weakly robustness-related variables based on their contributions to the robustness of candidate solutions. In the case study, an order scheduling problem in the apparel industry is investigated via the proposed framework. The experimental results reveal that the performance of robust evolutionary optimization can be greatly improved via analyzing the properties of decision variables and then decomposing the high-dimensional robust multiobjective optimization problem. © 2018 Association for Computing Machinery.

关键词： Evolutionary algorithms

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