学术报告第201951期

摘要: This talk will report a recent work on   integral-type event-triggered model predictive control (MPC) of   continuous-time nonlinear systems. In this work, an integral-type   event-triggered mechanism is proposed by incorporating the integral of the   error between the actual and predicted state, leading to reduced average   sampling frequency. Besides, a new and less conservative robustness   constraint is introduced to handle the additive disturbance, rendering the   MPC problem with a relatively larger initial feasible region. Furthermore,   the feasibility of the integral-type event-triggered MPC scheme and the   stability of the closed-loop system are rigorously investigated. Sufficient   conditions for guaranteeing both of these properties are established, showing that the recursive feasibility and   stability depend on the prediction horizon, the disturbance bound, the   triggering level, and the contraction rate for the robustness constraint.   Simulation and comparison studies demonstrate the effectiveness of the proposed   scheme.

简历： Yang SHI received the Ph.D. degree in   electrical and computer engineering from the University of Alberta, Edmonton,   AB, Canada, in 2005. From 2005 to 2009, he was an Assistant Professor and   Associate Professor in the Department of Mechanical Engineering, University   of Saskatchewan, Saskatoon, Saskatchewan, Canada. In 2009, he joined the   University of Victoria, and now he is a Professor in the Department of   Mechanical Engineering, University of Victoria, Victoria, British Columbia,   Canada. His current research interests include networked and distributed   systems, model predictive control (MPC), cyber-physical systems (CPS),   robotics and mechatronics, navigation and control of autonomous systems (AUV   and UAV), and energy system applications.