学术报告第201868期

报告题目: Nonlinear output regulation with non-vanishing measurements

报 告 人：王雷 博士后（澳大利亚纽卡斯尔大学）

报告时间：2018年12月24日14：30

报告地点：南一楼中311

摘要：The nonlinear output regulation problem will be addressed in presence of measurements that, besides the regulated error, might include also extra outputs non-vanishing in steady state. Both post- and pre- processing solutions will be presented. For systems in the normal form defined on the extra measurement, a novel post-processing internal model structure is proposed, which together with a high-gain stabilizing action, solves the problem at hand. As far as the pre-processing solution is concerned, we first show that, for linear systems, any pre-processing internal model-based solution solving the problem in a robust way necessarily relies on a stabilizer blocking the steady state effect of the extra measurements through properly located zeros. Motivated by this, a nonlinear pre-processing design strategy, relying on a “filter” processing the non-vanishing measurements and generating a new output having zero steady state, is presented for nonlinear systems in a semiglobal setting.

简历：Dr. Wang received his PhD in Control Science and Engineering from Zhejiang University, China in 2016, with the Award of Excellent Doctorate Thesis of Zhejiang Province, and the Nomination Award for Excellent Doctoral Dissertations of Chinese Association of Automation. From July 2016 to July 2018, he was a Research Fellow at Nanyang Technological University, Singapore. He is currently a Senior Research Associate with School of Electrical Engineering and Computing, University of Newcastle, Australia. He ever visited C.A.SY.-DEIS, University of Bologna from December 2014 to December 2015. His current research interests include stabilization, regulation, observer design and adaptive control for nonlinear MIMO systems, hybrid systems, networked systems, and smart-grid systems.