Disturbance-observer-based Control for Discrete-Time Markovian Jump Systems with Missing Measurement

来源 :第26届中国过程控制会议 | 被引量 : 0次 | 上传用户:yinyilin183
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
  This paper addresses the problem of disturbance attenuation and rejection for discrete-time Markovian jump systems with lossy measurements and multiple disturbances.The measurement transmission from the plant to the observer and the controller are assumed to be imperfect and two stochastic variables are utilized to model the phenomenon of data missing,separately.Composite DOBC(Disturbance-Observer-Based Control)& H∞ control is proposed to attenuate and reject the disturbances,simultaneously.Our attention is focused on the design of a new structure of disturbance observer,dynamic output feedback controller,and composite controller such that the composite system is stochastically stable and satisfies some scheduled performances.Computation oriented conditions on the disturbance observer gain,and controller matrices for the controlled plant are provided based on the piecewise quadratic Lyapunov functions..
其他文献
The design of a benchmark cogeneration system is a multi-objective optimal problem,it needs a simultaneousconsideration of thermodynamic efficiency and economic objective.On the one hand,we hope the t
This paper investigates the controllability of Boolean control networks(BCN)with time-delays in state by using the semi-tensor product of matrices.The definition of controllability matrices for BCNs w
In this paper,controller performance assessment is considered for a class of switched linear systems.The tensor-based method is proposed for the controller performance assessment for this systems evol
This article discusses MPCA(Multi-way Principal Component Analysis)and MPLS(Multi-way Partial Least Squares)have been used to compress the information into low-dimensional spaces and pinpoint the root
研究了一类δ算子系统的滑模控制问题。首先,研究了带有时滞的δ算子不确定系统,并引入一种能够动态改善系统运动品质的非线性滑模面,利用线性矩阵不等式技术,得出了滑模面存在的充分条件,并给出具体设计方法。其次,基于一种改进的自适应趋近律,设计了相应的滑模控制器,保证系统状态能够在有限时间内到达滑模面,从而将此类非线性系统的滑模控制的设计推广到了现代高速采样条件下的时滞不确定非线性系统。最后,通过一个仿真
This paper focuses on a 4-DOF manipulator with flexible beam frame.Due to the performance requirements of rapidity and stability,the model predictive control algorithm is adopted to make trajectory pl
In the process industries,local linearization of a nonlinear process,which is essentially modeling of the process dynamics at a specific operating point with a simplified linear model,is commonly used
In this paper,a deep learning model referred as NARX-DNN based on Deep Neural Network(DNN)and Nonlinear Auto Regressive with Extension X input(NARX)neural network is developed to model the coal-fired
This paper proposes a new predictive control scheme for the high-speed electric multiple unit(EMU),by establishing multiple distributed state-space model for each power unit based on the subspace mode
T-S fuzzy inverse model identification based on particle swarm optimization(PSO)algorithm is proposed for a class of nonlinear process,and it is applied to direct adaptive inverse control of nonlinear