Sampled-Data Observer Design for Space-Varying Distributed Parameter Systems
作者单位：School of Electrical Engineering University of Jinan Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical EngineeringBeihang University Science Program Texas A&M University at Qatar
会议名称：《第三十九届中国控制会议》
会议日期：2020年
学科分类：07[理学] 070104[理学-应用数学] 0701[理学-数学]
关 键 词：Sampled-data observer distributed parameter systems(DPSs) spatial linear matrix inequality(SLMI)
摘 要：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.