The fault detection problem for the nonlinear networked control system(NCS) with packet dropout and delay is investigated.A nonlinear stochastic system model is proposed to account for the NCS with random packet dropo...The fault detection problem for the nonlinear networked control system(NCS) with packet dropout and delay is investigated.A nonlinear stochastic system model is proposed to account for the NCS with random packet dropout and networkinduced non-uniformly distributed time-varying delay in both from sensor to controller(S/C) and from controller to actuator(C/A).Based on the obtained NCS model,employing an observer-based fault detection filter as the residual generator,the addressed fault detection problem is converted into an auxiliary nonlinear H∞ control problem.Then,with the help of Lyapunov functional approach,a sufficient condition for the desired fault detection filter is constructed in terms of certain linear matrix inequalities,which depend on not only the delay interval but also the delay interval occurrence rate and successful packet communication rate.Especially,a trade-off phenomenon between the maximum allowable delay bound and successful data packet transmission rate is found,which is typically resulted from the limited bandwidth of communication networks.The effectiveness of the proposed method is demonstrated by a simulation example.展开更多
This paper investigates the observer-based H-infinity control problem for networked control systems (NCSs) with random packet dropouts.A general packet dropout model with multiple independent stochastic variables in t...This paper investigates the observer-based H-infinity control problem for networked control systems (NCSs) with random packet dropouts.A general packet dropout model with multiple independent stochastic variables in the multiple channels case is adopted to describe the data missing in the limited communication channels.With the consideration of the sensor-to-controller and controller-to-actuator packet dropouts at the same time,a new method is proposed based on a separation lemma to design an observer-based H-infinity controller,which exponentially stabilizes the closed-loop system in the sense of mean square and also achieves a prescribed H-infinity disturbance attenuation level.A numerical example is given to illustrate the effectiveness of the proposed control method.展开更多
This paper is concerned with the estimation problem for discrete-time stochastic linear systems with possible single unit delay and multiple packet dropouts.Based on a proposed uncertain model in data transmission,an ...This paper is concerned with the estimation problem for discrete-time stochastic linear systems with possible single unit delay and multiple packet dropouts.Based on a proposed uncertain model in data transmission,an optimal full-order filter for the state of the system is presented,which is shown to be of the form of employing the received outputs at the current and last time instants.The solution to the optimal filter is given in terms of a Riccati difference equation governed by two binary random variables.The optimal filter is reduced to the standard Kalman filter when there are no random delays and packet dropouts.The steady-state filter is also investigated.A sufficient condition for the existence of the steady-state filter is given.The asymptotic stability of the optimal filter is analyzed.展开更多
This paper is concerned with the optimal and suboptimal deconvolution problems for discrete-time systems with random delayed observations.When the random delay is known online,i.e.,time stamped,the random delayed syst...This paper is concerned with the optimal and suboptimal deconvolution problems for discrete-time systems with random delayed observations.When the random delay is known online,i.e.,time stamped,the random delayed system is reconstructed as an equivalent delay-free one by using measurement reorganization technique,and then an optimal input white noise estimator is presented based on the stochastic Kalman filtering theory.However,the optimal white-noise estimator is timevarying,stochastic,and doesn't converge to a steady state in general.Then an alternative suboptimal input white-noise estimator with deterministic gains is developed under a new criteria.The estimator gain and its respective error covariance-matrix information are derived based on a new suboptimal state estimator.It can be shown that the suboptimal input white-noise estimator converges to a steady-state one under appropriate assumptions.展开更多
基金supported by the National Natural Science Foundation of China (60874053 60574088)
文摘The fault detection problem for the nonlinear networked control system(NCS) with packet dropout and delay is investigated.A nonlinear stochastic system model is proposed to account for the NCS with random packet dropout and networkinduced non-uniformly distributed time-varying delay in both from sensor to controller(S/C) and from controller to actuator(C/A).Based on the obtained NCS model,employing an observer-based fault detection filter as the residual generator,the addressed fault detection problem is converted into an auxiliary nonlinear H∞ control problem.Then,with the help of Lyapunov functional approach,a sufficient condition for the desired fault detection filter is constructed in terms of certain linear matrix inequalities,which depend on not only the delay interval but also the delay interval occurrence rate and successful packet communication rate.Especially,a trade-off phenomenon between the maximum allowable delay bound and successful data packet transmission rate is found,which is typically resulted from the limited bandwidth of communication networks.The effectiveness of the proposed method is demonstrated by a simulation example.
基金supported by the Defence Science Organisation-National Laboratories (DSO-NL),Singapore (No.DSOCL06184)
文摘This paper investigates the observer-based H-infinity control problem for networked control systems (NCSs) with random packet dropouts.A general packet dropout model with multiple independent stochastic variables in the multiple channels case is adopted to describe the data missing in the limited communication channels.With the consideration of the sensor-to-controller and controller-to-actuator packet dropouts at the same time,a new method is proposed based on a separation lemma to design an observer-based H-infinity controller,which exponentially stabilizes the closed-loop system in the sense of mean square and also achieves a prescribed H-infinity disturbance attenuation level.A numerical example is given to illustrate the effectiveness of the proposed control method.
基金supported by Agency for Science,Technology and Research Grant(SERC)(No.0521010037)Natural Science Foundation of China(No.60874062,60828006)NSFC-Guangdong Joint Foundation(No.U0735003)
文摘This paper is concerned with the estimation problem for discrete-time stochastic linear systems with possible single unit delay and multiple packet dropouts.Based on a proposed uncertain model in data transmission,an optimal full-order filter for the state of the system is presented,which is shown to be of the form of employing the received outputs at the current and last time instants.The solution to the optimal filter is given in terms of a Riccati difference equation governed by two binary random variables.The optimal filter is reduced to the standard Kalman filter when there are no random delays and packet dropouts.The steady-state filter is also investigated.A sufficient condition for the existence of the steady-state filter is given.The asymptotic stability of the optimal filter is analyzed.
基金supported by the National Nature Science Foundation of China under Grant Nos.61104050,61203029the Natural Science Foundation of Shandong Province under Grant No.ZR2011FQ020+2 种基金the Scientific Research Foundation for Outstanding Young Scientists of Shandong Province under Grant No.BS2013DX008the Graduate Education Innovation Project of Shandong Province under Grant No.SDYC12006the Ph.D.Foundation Program of University of Jinan under Grant No.XBS1044
文摘This paper is concerned with the optimal and suboptimal deconvolution problems for discrete-time systems with random delayed observations.When the random delay is known online,i.e.,time stamped,the random delayed system is reconstructed as an equivalent delay-free one by using measurement reorganization technique,and then an optimal input white noise estimator is presented based on the stochastic Kalman filtering theory.However,the optimal white-noise estimator is timevarying,stochastic,and doesn't converge to a steady state in general.Then an alternative suboptimal input white-noise estimator with deterministic gains is developed under a new criteria.The estimator gain and its respective error covariance-matrix information are derived based on a new suboptimal state estimator.It can be shown that the suboptimal input white-noise estimator converges to a steady-state one under appropriate assumptions.
基金Supported by the Natural Science Foundation of China(NSFC-60874062)the Key Project of Chinese Ministry of Education(209038)+2 种基金Program for New Century Excellent Talents in University(NCET-10-01331154-NCET-01)the Program for High-qualified Talents and Province Key Laboratory(Hdtd2010-03)
