It takes the average reader 4 hours and 7 minutes to read Data-Driven Iterative Learning Control for Discrete-Time Systems by Ronghu Chi
Assuming a reading speed of 250 words per minute. Learn more
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.
Data-Driven Iterative Learning Control for Discrete-Time Systems by Ronghu Chi is 239 pages long, and a total of 61,901 words.
This makes it 81% the length of the average book. It also has 76% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 38 minutes to read Data-Driven Iterative Learning Control for Discrete-Time Systems aloud.
Data-Driven Iterative Learning Control for Discrete-Time Systems is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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