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Reliable H-infinity filtering for linear systems with sensor saturation

控制理论与应用（英文版） 2013年第1期11卷 80-85页

作者： Ting SHI Hongye SU Jian CHU Institute of Automation Hangzhou Dianzi University State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University (Yuquan Campus)

In this paper, a new reliable H-infinity filter design problem is proposed for a class of continuous-time sys- tems with sensor saturation and failures. Attention is focused on the analysis and synthesis problems of a full order reliable H-infinity filter such that the filtering error dynamics is asymptotically stable with a guaranteed disturbance rejection atten- uation level -y. It is shown that the filtering error dynamics obtained from the original system plus the filter can be modeled by a linear system with sector bounded nonlinearity. The design conditions are given in terms of solutions to a set of linear matrix inequalities （LMIs）. These conditions are then considered in a convex optimization problem with LMIs constraints in order to design an optimal reliable H-infinity filter. A numerical example is given to illustrate the effectiveness of the proposed results.

关键词： H-infinity filtering Reliable filtering Sensor saturation Sensor failures Linear matrix inequality

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Single molecule counting based on SPC Digital PCR

Single molecule counting based on SPC Digital PCR

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第九届全国微全分析系统学术会议、第四届全国微纳尺度生物分离分析学术会议、2014国际微流控芯片与微纳尺度生物分离分析学术会议

作者： Ying Mu Qiangyuan Zhu Lin Qiu Yanan Xu Qi Song Congcong Ma Qingchang Tian Wei Jin Qinhan Jin Research Center for Analytical Instrumentation Institute of Cyber-Systems and ControlState Key Lab.of Industrial Control TechnologyZhejiang UniversityHangzhou310058P.R.China

Cells are the fundamental units of biology,the current experimental approaches are mostly based on studying bulk cell population rather than single cell,which would unavoidably lead to an average result and possibly disguise cellular heterogeneity of functional *** fact,cellular heterogeneity is a general feature of biological systems and some theoretical and practical problems can be solved only at single-cell *** it is difficult to analyze gene expression at single-cell level single *** PCR has proved to be a highly sensitive nucleic acid quantification technique which can detect single molecule *** sample is diluted and partitioned into hundreds of separate reaction chambers so that each chamber contains only one or no copies of the target *** copies of a sample can be determined by counting the number of positive partitions versus negative partitions after endpoint PCR.A self-priming compartmentalization(SPC)microfluidic digital PCR chip was designed which is capable of performing single molecule amplification of genes from single *** the SPC digital PCR chip,the gene copy number of single cell can be absolute quantify with higher sensitivity,reduced labor time and reagent.

关键词： single molecule counting digital PCR microfludic single cell

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Explicit Hybrid Model Predictive control of the Forward DC-DC Converter

Explicit Hybrid Model Predictive Control of the Forward DC-D...

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第25届中国控制与决策会议

作者： Yeye Shen Lei Xie Xiuliang Li State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University

ISBN: (纸本)9781467355339

This paper presents an explicit model predictive control approach for a forward dc-dc converter. The objective of the proposed control algorithm is to regulate the output voltage in the case of load variations. We first develop a signal averaged model for the forward dc-dc converter, and then extend it to a hybrid model. The related optimal control problem is presolved offline to construct a lookup table, and the controller searches for the control law online, thus avoiding any online optimization. An additional control loop is proposed to deal with the problem of load and source voltage variations.

关键词： Explicit MPC, Forward dc-dc converter, Hybrid modeling

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Feedback structure based entropy approach for multiple-model estimation

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Chinese Journal of Aeronautics 2013年第6期26卷 1506-1516页

作者： Shen-tu Han Xue Anke Guo Yunfei State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejiang University Institution of Information and Control Hangzhou Dianzi University Institution of Information and Control Hangzhou Dianzi University

The variable-structure multiple-model（VSMM）approach,one of the multiple-model（MM）methods,is a popular and effective approach in handling problems with mode *** model sequence set adaptation（MSA）is the key to design a better ***,MSA methods in the literature have big room to improve both theoretically and *** this end,we propose a feedback structure based entropy approach that could fnd the model sequence sets with the smallest size under certain *** fltered data are fed back in real time and can be used by the minimum entropy（ME）based VSMM algorithms,i.e.,***,the full Markov chains are used to achieve optimal ***,the myopic method together with particle flter（PF）and the challenge match algorithm are also used to achieve sub-optimal solutions,a trade-off between practicability and *** numerical results show that the proposed algorithm provides not only refned model sets but also a good robustness margin and very high accuracy.

关键词： Feed back Maneuvering tracking Minimum entropy Model sequence set adaptation Multiple-model estimation

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Erratum to “Quick attribute reduct algorithm for neighborhood rough set model” [Inform. Sci. 271 (2014) 65–81]

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Information Sciences 2015年 309卷 180-180页

作者： Liu Yong Huang Wenliang Jiang Yunliang Zeng Zhiyong Institute of Cyber Systems and Control Zhejiang University 310027 Hangzhou China State Key Laboratory of Industrial Control and Technology Zhejiang University 310027 Hangzhou China China United Network Communication Corporation 100032 Beijing China Huzhou Teachers College 313000 Huzhou China Stanford University Stanford CA 94305 USA

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On Parameter Convergence of Nonlinearly Parameterized Adaptive systems: Analysis via Contraction and First Lyapunov's Methods

On Parameter Convergence of Nonlinearly Parameterized Adapti...

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IEEE Annual Conference on Decision and control

作者： Lei Wang Romeo Ortega Hongye Su Zhitao Liu Weihua Xu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University 310027 Hangzhou P.R.China Laboratoire des Signaux et Systemes CNRS UMR 8506 Supelec 91192 Gif sur Yvette France

ISBN: (纸本)9781467360890

Adaptive systems have been traditionally analyzed using classical second Lyapunov's method and/or passivity theory. These powerful tools permit the establishment of conditions for convergence and stability (asymptotic and L_2) of adaptive estimators and controllers. A natural, alternative framework to analyze adaptive systems invokes the notion of (flow) contraction, which imposes that some distance between any pair of solutions is monotonically decreasing with time. In this paper we investigate the contraction properties of adaptive systems designed following the principles of immersion and invariance. In particular, we use contraction theory and a recent extension of first Lyapunov's method to give conditions under which adaptive estimators and controllers--designed for nonlinearly parameterized, nonlinear systems--ensure exponential parameter convergence.

关键词： Convergence Adaptive control Stability analysis Trajectory Manifolds Lyapunov methods

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Weighting Matrices Design for LQG controller Based on Data-driven Economic Performance PSO

Weighting Matrices Design for LQG controller Based on Data-d...

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第25届中国控制与决策会议

作者： SHI Minghua XIE Lei GUO Zixu State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejiang University

ISBN: (纸本)9781467355339

Aiming at the difficulty of weighting matrices design for LQG controller, a data-driven economic performance PSO algorithm is presented in this paper. The method introduces a subspace approach to obtain the process characteristics and the explicit functional relationship between the manipulation variance and the output variance, which solves the LQG benchmark problem directly. The PSO algorithm based on the results of economic performance assessment subsequently realizes the accurate optimization of the LQG weighting matrices. The proposed approach is illustrated and verified through a simulation example.

关键词： subspace identification, LQG, economic performance assessment, weighting matrics design

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controllability Analysis of Networked control systems with Packets Loss

Controllability Analysis of Networked Control Systems with P...

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第三十二届中国控制会议

作者： LIN Hong SU Hongye XU Yong State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Department of Information and Technology Concord University College Fujian Normal University

ISBN: (纸本)9789881563835

The problem of controllability and control strategy for a class of Networked control systems (NCSs) with packets loss are studied in this paper. A probabilistic controllability conception is proposed for these systems. In order to analyze the probabilistic controllability and relevant properties, a representation of the initial state by a group of constructive base of linear space is introduced. Based on this representation the affects to control system caused by packets loss can be expressed by system substates. A control strategy is developed to guarantee, the controllability of NCSs, and the minimum control steps property of this control strategy is discussed as well. Finally, a necessary and sufficient condition of probabilistic controllability for NCSs with packets loss is represented.

关键词： controllability, Networked control systems, Packets loss, Minimum control steps

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Functional safety assessment for the carborne ATP of train control system

Functional safety assessment for the carborne ATP of train c...

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2012 International Conference on Information technology and Software Engineering, ITSE 2012

作者： Li, Yang Feng, Dongqin State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University NO. 38 ZheDa Road Hangzhou China

ISBN: (纸本)9783642345272

Automatic train protection system (ATP) is the key safety-related system of train control system, so its safety reliability requirements are much higher. This article studies functional safety assessment (FSA) including function analysis, hazard identification, risk rank evaluation, risk reduction, and safety integrity verification during the development of carborne ATP. A risk rank evaluation method is proposed combining as low as reasonably practically (ALARP) criteria and risk matrix. Many safety defects of carborne ATP are found and then the design scheme is improved through FSA. The results of risk analysis software Isograph prove that carborne ATP meets the safety integrity level of its design goals at last. © 2013 Springer-Verlag.

关键词： Risk assessment

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K-means Entropy Algorithm for Multiple Model Estimation

K-means Entropy Algorithm for Multiple Model Estimation

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第三十二届中国控制会议

作者： SHEN-TU Han XUE An Ke YANG Jian Bo State Key Laboratory of Industrial Control Technology Institute of Cyber-System and ControlZhejiang University Institution of Information and Control Hangzhou Dianzi University

ISBN: (纸本)9781479900305

The minimum entropy multiple model estimation algorithm(MEMM),one of variable structure multiple model estimators(VSMM),is an effective approach in handling the problems with high mode ***,the performance of MEMM will deteriorate when the real observation errors are in disaccord with the prior observation error *** this end,we propose the k-means entropy multiple-model estimation algorithm(KMEMM) to refine the model sequence set adaptation ***,the k-means algorithm is employed to make several model sequence ***,the minimum entropy cluster is selected as the best model set and at last the Bayesian estimation is calculated based on *** simulation results demonstrate the efficiency of the proposed algorithm through comparing to several existing algorithms.

关键词： multiple-model estimation K-means entropy particle filter complex observation error

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