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Iterative Learning Control for Systems with Iteration-Varying Trial Lengths - Synthesis and Analysis (Hardcover, 1st ed. 2019)
Loot Price: R4,139
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Iterative Learning Control for Systems with Iteration-Varying Trial Lengths - Synthesis and Analysis (Hardcover, 1st ed. 2019)
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This book presents a comprehensive and detailed study on iterative
learning control (ILC) for systems with iteration-varying trial
lengths. Instead of traditional ILC, which requires systems to
repeat on a fixed time interval, this book focuses on a more
practical case where the trial length might randomly vary from
iteration to iteration. The iteration-varying trial lengths may be
different from the desired trial length, which can cause redundancy
or dropouts of control information in ILC, making ILC design a
challenging problem. The book focuses on the synthesis and analysis
of ILC for both linear and nonlinear systems with iteration-varying
trial lengths, and proposes various novel techniques to deal with
the precise tracking problem under non-repeatable trial lengths,
such as moving window, switching system, and searching-based moving
average operator. It not only discusses recent advances in ILC for
systems with iteration-varying trial lengths, but also includes
numerous intuitive figures to allow readers to develop an in-depth
understanding of the intrinsic relationship between the incomplete
information environment and the essential tracking performance.
This book is intended for academic scholars and engineers who are
interested in learning about control, data-driven control,
networked control systems, and related fields. It is also a useful
resource for graduate students in the above field.
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