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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering
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Not currently available
Nonlinear Control of Dynamic Networks (Hardcover)
Loot Price: R3,425
Discovery Miles 34 250
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Nonlinear Control of Dynamic Networks (Hardcover)
Series: Automation and Control Engineering
Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.
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Significant progress has been made on nonlinear control systems in
the past two decades. However, many of the existing nonlinear
control methods cannot be readily used to cope with communication
and networking issues without nontrivial modifications. For
example, small quantization errors may cause the performance of a
"well-designed" nonlinear control system to deteriorate. Motivated
by the need for new tools to solve complex problems resulting from
smart power grids, biological processes, distributed computing
networks, transportation networks, robotic systems, and other
cutting-edge control applications, Nonlinear Control of Dynamic
Networks tackles newly arising theoretical and real-world
challenges for stability analysis and control design, including
nonlinearity, dimensionality, uncertainty, and information
constraints as well as behaviors stemming from quantization,
data-sampling, and impulses. Delivering a systematic review of the
nonlinear small-gain theorems, the text: Supplies novel
cyclic-small-gain theorems for large-scale nonlinear dynamic
networks Offers a cyclic-small-gain framework for nonlinear control
with static or dynamic quantization Contains a combination of
cyclic-small-gain and set-valued map designs for robust control of
nonlinear uncertain systems subject to sensor noise Presents a
cyclic-small-gain result in directed graphs and distributed control
of nonlinear multi-agent systems with fixed or dynamically changing
topology Based on the authors' recent research, Nonlinear Control
of Dynamic Networks provides a unified framework for robust,
quantized, and distributed control under information constraints.
Suggesting avenues for further exploration, the book encourages
readers to take into consideration more communication and
networking issues in control designs to better handle the arising
challenges.
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