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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering
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Computer-aided Nonlinear Control System Design - Using Describing Function Models (Hardcover, 2012)
Loot Price: R2,791
Discovery Miles 27 910
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Computer-aided Nonlinear Control System Design - Using Describing Function Models (Hardcover, 2012)
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A systematic computer-aided approach provides a versatile setting
for the control engineer to overcome the complications of
controller design for highly nonlinear systems. Computer-aided
Nonlinear Control System Design provides such an approach based on
the use of describing functions. The text deals with a large class
of nonlinear systems without restrictions on the system order, the
number of inputs and/or outputs or the number, type or arrangement
of nonlinear terms. The strongly software-oriented methods detailed
facilitate fulfillment of tight performance requirements and help
the designer to think in purely nonlinear terms, avoiding the
expedient of linearization which can impose substantial and
unrealistic model limitations and drive up the cost of the final
product. Design procedures are presented in a step-by-step
algorithmic format each step being a functional unit with outputs
that drive the other steps. This procedure may be easily
implemented on a digital computer with example problems from
mechatronic and aerospace design being used to demonstrate the
techniques discussed. The author's commercial MATLAB (R)-based
environment, available separately from insert URL here, can be used
to create simulations showing the results of using the
computer-aided control system design ideas characterized in the
text. Academic researchers and graduate students studying nonlinear
control systems and control engineers dealing with nonlinear plant,
particularly mechatronic or aerospace systems will find
Computer-aided Nonlinear Control System Design to be of great
practical assistance adding to their toolbox of techniques for
dealing with system nonlinearities. A basic knowledge of calculus,
nonlinear analysis and software engineering will enable the reader
to get the best from this book.
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