Nonrecursive Control Design for Nonlinear Systems

Chuanlin Zhang received the B.S. degree in mathematics and the Ph.D degree in control theory and control engineering from the School of Automation, Southeast University, Nanjing, China, in 2008 and 2014, respectively. He was a Visiting Ph.D. Student with the Department of Electrical and Computer Engineering, University of Texas at San Antonio, USA, from 2011 to 2012; a Visiting Scholar with the Energy Research Institute, Nanyang Technological University, Singapore, from 2016 to 2017; a visiting scholar with Advanced Robotics Center, National University of Singapore, from 2017 to 2018. He has been with the College of Automation Engineering, Shanghai University of Electric Power, China since 2014, where he is currently a professor and director of Intelligent Autonomous Systems Lab. His research interests include nonlinear system control theory and applications for power systems.Jun Yang received the B.Sc. Degree in automation from the Department of Automatic Control, Northeastern University, Shenyang, China, in 2006, and the Ph.D. degree in control theory and control engineering from the School of Automation, Southeast University, Nanjing, China in 2011. He joined the Department of Aeronautical and Automotive Engineering at Loughborough University from 2020 as a Senior Lecturer. His research interests include disturbance observer, motion control, visual servoing, nonlinear control and autonomous systems. He is a Fellow of IEEE and IET.

• 1. Introduction 2. Nonrecursive Robust Stabilization for Uncertain Nonlinear Systems 3. Practically-Oriented Finite-Time Tracking Control for Nonlinear Systems 4. Nonrecursive Adaptive Control for Nonlinear Systems with Nonparametrized Uncertainties 5. Nonrecursive Robust Output Regulation for Nonlinear Systems with Mismatched Disturbances 6. Nonrecursive Adaptive Output Regulation for Nonlinear Systems with Mismatched Disturbances 7. Application to Permanent Magnet Synchronous Motor Systems 8. Application to Series Elastic Actuator Systems 9. Applications to DC Microgrid Systems