State Estimation of Hybrid Data-driven Control System via Zonotopic Bounding Set Computation
作者单位：School of AutomationHarbin University of Science and Technology
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：08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
关 键 词：hybrid system data-driven control virtual reference feedback tuning zonotopic set membership estimation
摘 要：This paper presents a data-driven method to obtain state estimation for a class of hybrid control systems,which involves interacting discrete-event and continuous-variable *** the system with no well-established model has made parameter optimization of the controller cannot be *** method relies on the virtual reference feedback tuning（VRFT）that ongoing direct use of the measurement I/O data and select desired controllers by employing output-error parameter estimation from virtual reference *** improve the efficiency to compute a feasible state set that contains the parameters consistent with the measured data and the given noise and perturbation,a set membership estimation by zonotopes is used to implement the developed ***,the effectiveness of the method is demonstrated experimentally on a leader-following tracking task of multiple unmanned aerial vehicles（multi-UAVs） formation flight.