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Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation (Paperback, Softcover reprint of the original 1st ed. 2014)
Loot Price: R3,425
Discovery Miles 34 250
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Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation (Paperback, Softcover reprint of the original 1st ed. 2014)
Series: Advances in Industrial Control
Expected to ship within 10 - 15 working days
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This book is on the iterative learning control (ILC) with focus on
the design and implementation. We approach the ILC design based on
the frequency domain analysis and address the ILC implementation
based on the sampled data methods. This is the first book of ILC
from frequency domain and sampled data methodologies. The frequency
domain design methods offer ILC users insights to the convergence
performance which is of practical benefits. This book presents a
comprehensive framework with various methodologies to ensure the
learnable bandwidth in the ILC system to be set with a balance
between learning performance and learning stability. The sampled
data implementation ensures effective execution of ILC in practical
dynamic systems. The presented sampled data ILC methods also ensure
the balance of performance and stability of learning process.
Furthermore, the presented theories and methodologies are tested
with an ILC controlled robotic system. The experimental results
show that the machines can work in much higher accuracy than a
feedback control alone can offer. With the proposed ILC algorithms,
it is possible that machines can work to their hardware design
limits set by sensors and actuators. The target audience for this
book includes scientists, engineers and practitioners involved in
any systems with repetitive operations.
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