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Iterative Learning Control - Analysis, Design, Integration and Applications (Hardcover, 1998 ed.)
Loot Price: R4,556
Discovery Miles 45 560
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Iterative Learning Control - Analysis, Design, Integration and Applications (Hardcover, 1998 ed.)
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Iterative Learning Control (ILC) differs from most existing control
methods in the sense that, it exploits every possibility to
incorporate past control informa tion, such as tracking errors and
control input signals, into the construction of the present control
action. There are two phases in Iterative Learning Control: first
the long term memory components are used to store past control
infor mation, then the stored control information is fused in a
certain manner so as to ensure that the system meets control
specifications such as convergence, robustness, etc. It is worth
pointing out that, those control specifications may not be easily
satisfied by other control methods as they require more prior
knowledge of the process in the stage of the controller design. ILC
requires much less information of the system variations to yield
the desired dynamic be haviors. Due to its simplicity and
effectiveness, ILC has received considerable attention and
applications in many areas for the past one and half decades. Most
contributions have been focused on developing new ILC algorithms
with property analysis. Since 1992, the research in ILC has
progressed by leaps and bounds. On one hand, substantial work has
been conducted and reported in the core area of developing and
analyzing new ILC algorithms. On the other hand, researchers have
realized that integration of ILC with other control techniques may
give rise to better controllers that exhibit desired performance
which is impossible by any individual approach."
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