Discrete-Time Adaptive Iterative Learning Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Discrete-Time Adaptive Iterative Learning Control write by Ronghu Chi. This book was released on 2022-03-21. Discrete-Time Adaptive Iterative Learning Control available in PDF, EPUB and Kindle. This book belongs to the subject of control and systems theory. 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. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory. To overcome the extreme difficulties in modeling a complex system, the data-driven DAILC methods are further discussed by building a linear parametric data mapping between two consecutive iterations. Other significant improvements and extensions of the model-based/data-driven DAILC are also studied to facilitate broader applications. The readers can learn the recent progress on DAILC with consideration of various applications. This book is intended for academic scholars, engineers and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields.
Data-Driven Iterative Learning Control for Discrete-Time Systems
Data-Driven Iterative Learning Control for Discrete-Time Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-Driven Iterative Learning Control for Discrete-Time Systems write by Ronghu Chi. This book was released on 2022-11-15. Data-Driven Iterative Learning Control for Discrete-Time Systems available in PDF, EPUB and Kindle. This book belongs to the subject of control and systems theory. It studies a novel data-driven framework for the design and analysis of iterative learning control (ILC) for nonlinear discrete-time systems. A series of iterative dynamic linearization methods is discussed firstly to build a linear data mapping with respect of the system’s output and input between two consecutive iterations. On this basis, this work presents a series of data-driven ILC (DDILC) approaches with rigorous analysis. After that, this work also conducts significant extensions to the cases with incomplete data information, specified point tracking, higher order law, system constraint, nonrepetitive uncertainty, and event-triggered strategy to facilitate the real applications. The readers can learn the recent progress on DDILC for complex systems in practical applications. This book is intended for academic scholars, engineers, and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields.
Iterative Learning Control and Adaptive Control for Systems with Unstable Discrete-Time Inverse
Iterative Learning Control and Adaptive Control for Systems with Unstable Discrete-Time Inverse - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Iterative Learning Control and Adaptive Control for Systems with Unstable Discrete-Time Inverse write by Bowen Wang. This book was released on 2019. Iterative Learning Control and Adaptive Control for Systems with Unstable Discrete-Time Inverse available in PDF, EPUB and Kindle. Another way to address the often unstable nature of the inverse of non-minimum phase systems is to use the in-house developed stable inverse theory Longman JiLLL, which can also be incorporated into other control algorithms including One-Step Ahead Control and Indirect Adaptive Control in addition to Iterative Learning Control. Using this stable inverse theory, One-Step Ahead Control has been generalized to apply to systems whose discrete-time inverses are unstable. The generalized one-step ahead control can be viewed as a Model Predictive Control that achieves zero tracking error with a control input bounded by the actuator constraints. In situations where one feels not confident about the system model, adaptive control can be applied to update the model parameters while achieving zero tracking error.
Intelligent Computing in Smart Grid and Electrical Vehicles
Intelligent Computing in Smart Grid and Electrical Vehicles - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Computing in Smart Grid and Electrical Vehicles write by Kang Li. This book was released on 2014-10-01. Intelligent Computing in Smart Grid and Electrical Vehicles available in PDF, EPUB and Kindle. This book constitutes the third part of the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2014, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, held in Shanghai, China, in September 2014. The 159 revised full papers presented in the three volumes of CCIS 461-463 were carefully reviewed and selected from 572 submissions. The papers of this volume are organized in topical sections on computational intelligence in utilization of clean and renewable energy resources, including fuel cell, hydrogen, solar and winder power, marine and biomass; intelligent modeling, control and supervision for energy saving and pollution reduction; intelligent methods in developing electric vehicles, engines and equipment; intelligent computing and control in distributed power generation systems; intelligent modeling, simulation and control of power electronics and power networks; intelligent road management and electricity marketing strategies; intelligent water treatment and waste management technologies; integration of electric vehicles with smart grid.
Iterative Learning Control
Iterative Learning Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Iterative Learning Control write by Hyo-Sung Ahn. This book was released on 2007-06-28. Iterative Learning Control available in PDF, EPUB and Kindle. This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. It presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty. The book shows how to use robust iterative learning control in the face of model uncertainty.
