Discrete-Time Adaptive Iterative Learning Control by Ronghu Chi
The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-repetitive uncertainties in practical applications.-
Set Theory-Based Spacecraft Dynamics and Control
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Data-Driven Spatiotemporal Modeling and Control of Nonlinear Distributed Parameter Systems and Their Applications
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Robust Adaptive Control of Nonlinear Interconnected Systems with Input Nonlinearities and Faults
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Constrained Cooperation: Event-Triggered and Intelligent Backstepping Control for Nonlinear Multiagent Systems
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Disagreement Behavior Analysis of Signed Networks
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Strict-Feedback Nonlinear Systems
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Variable Gain Design in Stochastic Iterative Learning Control
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Iterative Learning Control for Network Systems Under Constrained Information Communication
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Complex-Valued Neural Networks Systems with Time Delay
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Data-Driven Fault Detection and Reasoning for Industrial Monitoring
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Distributed Fault-Tolerant Consensus Control of Leader-Following Systems
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Variance-Constrained Filtering for Stochastic Complex Systems
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Analysis and Design of Delayed Neural Networks
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Distributed Impulsive Coordination of Multi-Agent Systems
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Fault Diagnosis and Fault-Tolerant Control of Nonlinear Systems with Higher System Input Powers
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Intelligent Control of Nonlinear Systems and Nonlinear Multi-Agent Systems with Complex Constraints
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Finite-Time Control of Networked Systems
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Adaptive Collaborative Control of Multiagent Systems by Event-Triggered Mechanisms
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Fault-Tolerant Control for Time-Varying Delayed T-S Fuzzy Systems
This book should be viewed as a (relatively) small handbook of discrete-time adaptive iterative learning control (DAILC) in its (very) contemporary versionThe book can serve both as a handbook but also a textbook for graduate and postgraduate researchers. (Vladimir Rasvan, zbMATH 1491.93002, 2022)
Ronghu Chi received the Ph.D. degree from Beijing Jiaotong University, Beijing China, in 2007. He was Visiting Scholar with Nanyang Technological University, Singapore, from 2011 to 2012 and Visiting Professor with University of Alberta, Edmonton, AB, Canada, from 2014 to 2015. In 2007, he joined Qingdao University of Science and Technology, Qingdao, China, and is currently a full professor in the School of Automation and Electronic Engineering. He served as various positions in international conferences and was an invited guest editor of International Journal of Automation and Computing. He has also served as a council member of a Shandong Institute of Automation and the deputy director of the technical committee of Data-driven Control, Learning and Optimization Professional Committee, etc. He was awarded the “Taishan scholarship” in 2016. His current research interests include iterative learning control, data-driven control, intelligent transportation systems and so on. He has published over 100 papers in important international journals and conference proceedings.
Na Lin received the M.Sc. degree in automatic control from the Qingdao University of Science and Technology, Qingdao, China, in 2017, where she is currently pursuing the Ph.D. degree in automatic control with the Institute of Artificial Intelligence and Control, School of Automation and Electronic Engineering. Her current research interests include data-driven control and iterative learning control.
Huimin Zhang received the bachelor's degree in electrical engineering and automation from University of Jinan, Jinan, Shandong, China, in 2017. She is currently pursuing the doctoral degree with the Institute of Artificial Intelligence and Control, School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China. Her research interests include data-driven control, iterative learning control, networked system control, and data quantization methods.
Ruikun Zhang received his B.S. and M.S. degrees in applied mathematics from Qingdao University, Qingdao, China, in 2003 and Zhejiang University, Hangzhou, China, in 2006, respectively. In 2006, he joined Qingdao University of Science and Technology and is currently an associate professor in the school of mathematics and physics. In 2016, he received the Ph.D. degree from Beijing Jiaotong University, Beijing China. His research interests include iterative learning control, robust control, and adaptive control.
Na Lin received the M.Sc. degree in automatic control from the Qingdao University of Science and Technology, Qingdao, China, in 2017, where she is currently pursuing the Ph.D. degree in automatic control with the Institute of Artificial Intelligence and Control, School of Automation and Electronic Engineering. Her current research interests include data-driven control and iterative learning control.
Huimin Zhang received the bachelor's degree in electrical engineering and automation from University of Jinan, Jinan, Shandong, China, in 2017. She is currently pursuing the doctoral degree with the Institute of Artificial Intelligence and Control, School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, China. Her research interests include data-driven control, iterative learning control, networked system control, and data quantization methods.
Ruikun Zhang received his B.S. and M.S. degrees in applied mathematics from Qingdao University, Qingdao, China, in 2003 and Zhejiang University, Hangzhou, China, in 2006, respectively. In 2006, he joined Qingdao University of Science and Technology and is currently an associate professor in the school of mathematics and physics. In 2016, he received the Ph.D. degree from Beijing Jiaotong University, Beijing China. His research interests include iterative learning control, robust control, and adaptive control.
| SKU | Unavailable |
| ISBN 13 | 9789811904660 |
| ISBN 10 | 9811904669 |
| Title | Discrete-Time Adaptive Iterative Learning Control |
| Author | Ronghu Chi |
| Series | Intelligent Control And Learning Systems |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Verlag, Singapore |
| Year published | 2023-03-23 |
| Number of pages | 206 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |