检索结果-南通市图书馆

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

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

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

Robust H-infinity filtering for time-delaysystems with missing measurements:a parameter-dependent approach

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

控制理论与应用（英文版） 2007年第4期5卷 336-344页

作者： Xiao HE Donghua ZHOU Department of Automation Tsinghua University Beijing 100084 China

Robust H-infinity filtering for a class of uncertain discrete-time linear systems with time delays and missing measurements is studied in this paper. The uncertain parameters are supposed to reside in a convex polytope and the missing measurements are described by a binary switching sequence satisfying a Bernoulli distribution. Our attention is focused on the analysis and design of robust H-infinity filters such that, for all admissible parameter uncertainties and all possible missing measurements, the filtering error system is exponentially mean-square stable with a prescribed H-infinity disturbance attenuation level. A parameter-dependent approach is proposed to derive a less conservative result. Sufficient conditions are established for the existence of the desired filter in terms of certain linear matrix inequalities （LMIs）. When these LMIs are feasible, an explicit expression of the desired filter is also provided. Finally, a numerical example is presented to illustrate the effectiveness and applicability of the proposed method.

关键词： Robust H-infinity filtering Polytopic uncertainties missing measurements Time-delays Parameter de-pendent Linear matrix inequalities (LMIs)

Robust White Noise Deconvolution Estimators for Systems with Uncertain-variance Linearly Correlated White Noises and missing measurements 36

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Robust White Noise Deconvolution Estimators for Systems with...

第36届中国控制会议

作者： Wenqiang Liu Zili Deng Heilongjiang University Heilongjiang University of Science and Technology

ISBN: (纸本)9781538629185

Estimating input signal of a system is called deconvolution or input *** white noise deconvolution has important applications in oil seismic exploration,communications,and signal *** paper addresses the problem of designing robust white noise deconvolution estimators for a class of uncertain systems with missing measurements,uncertain noise variances and linearly correlated white *** introducing fictitious noise,the considered system is converted into one with only uncertain noise *** to the minimax robust estimation principle,based on the worst-case system with the conservative upper bounds of uncertain noise variances,using Kalman filtering approach,the robust time-varying white noise deconvolution estimators（predictor,filter,and smoother） are presented in a unified *** the Lyapunov equation approach,their robustness is proved in the sense that their actual estimation error variances are guaranteed to have the corresponding minimal upper bounds for all admissible *** accuracy relations among the three white noise deconvolution estimators are proved.A simulation example shows the effectiveness and correctness of the proposed results.

关键词： minimax robust estimation missing measurements uncertain noise variances linearly correlated white noises white noise deconvolution estimators

Disturbance attenuation and rejection for systems with unknown nonlinearity and missing measurements via DOBC approach 36

在线全文

cnki会议

学校读者我要写书评

暂无评论

Disturbance attenuation and rejection for systems with unkno...

第36届中国控制会议

作者： DU Tao GUO Xiaoyu LIU Wanquan School of Electronics and Information Engineering North China University of Technology School of Instrument Science and Opto-electronics Engineering Beihang University Department of Computing Curtin University

ISBN: (纸本)9781538629185

The problem of disturbance attenuation and rejection for discrete systems with unknown nonlinear and missing measurement is studied in this ***,two types of disturbance are *** of them is matched unknown disturbance generated by an exogenous systems,the other belongs to norm-bounded *** matched unknown disturbance is estimated by disturbance observer(DOB),and it is compensated by the composited *** norm-bounded disturbance is attenuation under the condition of H *** matched unknown disturbance and state are estimated separately based on missing measurement which is described by a binary switching *** augmented systems,which consist of result closed-loop systems and error dynamic of disturbance are exponentially mean-square stable for zeros additional disturbance,and the systems also satisfy prescribed H performance requirement.A sufficient condition is derived to find DOB gain matrix,controller gain matrix in terms of Lyapunov approach.A numerical example is given to show the effectiveness of proposed method.

关键词： disturbance attenuation and rejection missing measurements disturbance observer state estiamtion

Distributed Consensus-Based Unscented Kalman Filtering with missing measurements 36

在线全文

cnki会议

学校读者我要写书评

暂无评论

Distributed Consensus-Based Unscented Kalman Filtering with ...

第36届中国控制会议

作者： Yichun Niu Li Sheng College of Information and Control Engineering China University of Petroleum（East China）

ISBN: (纸本)9781538629185

In this paper,the state estimation problem is investigated for a class of nonlinear stochastic *** order to deal with the effects of missing measurements,a consensus-based unscented Kalman filtering algorithm is presented on the basis of distributed sensor ***,a sufficient condition is derived to ensure that the estimate error is bounded in mean ***,simulation results show that the proposed filters can estimate the true state of the target plant under undesirable conditions.

关键词： Consensus Algorithm Unscented Kalman Filters Distributed Sensor Networks missing measurements

Optimal filtering for uncertain systems with stochastic nonlinearities, correlated noises and missing measurements

在线全文

cnki会议

学校读者我要写书评

暂无评论

Journal of Systems Science & Complexity 2015年第5期28卷 1052-1059页

作者： Shuo Zhang Yan Zhao Min Li Jianhui Zhao School of Instrument Science and Opto-electronics Engineering Beihang University

关键词： globally optimal recursive filtering random parame- ter matrices stochastic nonlinearities correlated noises missing measurements

Particle Filter for Nonlinear Systems with Multi-Step Randomly-Delayed and missing measurements

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Particle Filter for Nonlinear Systems with Multi-Step Random...

第三十九届中国控制会议

作者： Yunqi Chen Zhibin Yan Center for Control Theory and Guidance Technology Harbin Institute of Technology School of Science Harbin Institute of Technology

For nonlinear dynamic systems, this paper develops a new particle filter to deal with the case that multi-step random measurement delay and missing exist simultaneously and are induced by the same reason. A measurement model with multi-step random delay and missing is formulated by introducing a sequence of independent and identically distributed Bernoulli variables with a certain latency probability. Based on this model, a new particle filter is proposed by exploiting a new weighting scheme for particles. When the latency probability is unknown, an identification method is designed by the maximum likelihood *** superiority of the proposed particle filter and the effectiveness of the proposed identification method are illustrated in the univariate non-stationary growth model.

关键词： particle filter multi-step random measurement delay missing measurements latency probability identification maximum likelihood criterion

Event-triggered Resilient Filtering for Time-varying Systems with Randomly Occurring Nonlinearity and missing measurements

在线全文

cnki会议

学校读者我要写书评

暂无评论

Event-triggered Resilient Filtering for Time-varying Systems...

第30届中国控制与决策会议

作者： Ming Gao Jun Hu Hongxu Zhang Department of Mathematics Harbin University of Science and Technology School of Engineering University of South Wales School of Measurement and Communication Harbin University of Science and Technology The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology

This paper studies the event-triggered resilient filtering problem for a class of nonlinear systems with randomly occurring nonlinearity and missing measurements. Both the phenomena of the randomly occurring nonlinearity and the missing measurements are described by Bernoulli distributed random variables, where the occurrence probabilities could be uncertain. The event-triggered communication mechanism is introduced to save the network bandwidth during the data transmissions through the network. Additionally, the filter gain perturbations are characterized by employing the norm bounded uncertainties. The aim of the paper is to develop a robust event-triggered resilient filtering algorithm against the randomly occurring nonlinearity and missing measurements. Note that the analytical expressions of the filtering error covariance cannot be computed directly. Consequently, we derive its upper bound as an alternative way and subsequently minimize such an upper bound by properly designing the filter gain at each time step. Finally, an illustrative example is presented to show the effectiveness of the provided filtering algorithm.

关键词： Time-varying systems event-triggered mechanism randomly occurring nonlinearity missing measurements uncertain occurrence probabilities

Observer-Based H∞ Design for Networked Control System with Multipath Delays and missing measurements

在线全文

cnki会议

学校读者我要写书评

暂无评论

Observer-Based H∞ Design for Networked Control System with ...

第36届中国控制会议

作者： Ze Tang Ju H.Park H.Y.Jung Weixing Zheng Department of Electrical Engineering Yeungnam University Department of Information and Communication Engineering Yeungnam University School of Computing Engineering and MathematicsWestern Sydney University

This paper investigates the stochastic stability of networked control *** the signal transmission in communication channels would suffer from some disturbances,both of the input and output communication delays and missing measurements are *** observer-based feedback controller is designed for the networked control system achieving asymptotically stable in mean square with guaranteed H performance disturbance level γ.By means of the singular values decomposition theorem,some sufficient conditions are derived to grantee the stability of the networked control ***,rigorous analysis is carried out to show the existence of admissible observed-based feedback controller by introducing some weight-free matrices ***,a numerical example is presented to illustrate the validity of the theoretical analysis.

关键词： Networked control system Observer H∞ control Time-varying delays missing measurements