This paper introduces a robust non-fragile event-triggered sampled-data(ETSD) control for uncertain distributed parameter systems(dpss). In order to reduce the communication burden and deal with the uncertainties ...
详细信息
This paper introduces a robust non-fragile event-triggered sampled-data(ETSD) control for uncertain distributed parameter systems(dpss). In order to reduce the communication burden and deal with the uncertainties in system and controller,a robust non-fragile ETSD control strategy presented by linear matrix inequalities(LMIs) conditions is given based on an appropriate Lyapunov functional, which can ensure the exponential stability of the closed-loop dpss. Finally, a numerical example is offered to demonstrate the effectiveness of the proposed method.
This paper considers the sampled-data observer design problem of space-varying distributed parameter systems(dpss). By utilizing a Lyapunov functional, a sampled-data observer design is developed by spatial linear m...
详细信息
This paper considers the sampled-data observer design problem of space-varying distributed parameter systems(dpss). By utilizing a Lyapunov functional, a sampled-data observer design is developed by spatial linear matrix inequalities(SLMIs) to guarantee the exponential stability for the estimation error DPS. Furthermore, to solve SLMIs, the sampled-data observer design for space-varying dpss is formulated as an LMI feasibility problem. Lastly, simulation results of a numerical example are provided to illustrate the effectiveness of the proposed method.
This paper considers the sampled-data observer design problem of linear time-delay distributed parameter systems(dpss) described by partial differential equations(PDEs).By utilizing a Lyapunov functional,a sampled...
详细信息
This paper considers the sampled-data observer design problem of linear time-delay distributed parameter systems(dpss) described by partial differential equations(PDEs).By utilizing a Lyapunov functional,a sampled-data observer is proposed to stabilize exponentially the estimation error *** stabilization condition is presented in the formulation of linear matrix inequalities(LMIs).Finally,simulation results of a numerical example are provided to illustrate the effectiveness of the proposed method.
暂无评论