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Modeling and Identification of Linear Parameter-Varying Systems (Paperback, 2010 ed.)
Loot Price: R4,468
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Modeling and Identification of Linear Parameter-Varying Systems (Paperback, 2010 ed.)
Series: Lecture Notes in Control and Information Sciences, 403
Expected to ship within 10 - 15 working days
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Through the past 20 years, the framework of Linear
Parameter-Varying (LPV) systems has become a promising system
theoretical approach to handle the control of mildly nonlinear and
especially position dependent systems which are common in
mechatronic applications and in the process industry. The birth of
this system class was initiated by the need of engineers to achieve
better performance for nonlinear and time-varying dynamics, c- mon
in many industrial applications, than what the classical framework
of Linear Time-Invariant (LTI) control can provide. However, it was
also a p- mary goal to preserve simplicity and "re-use" the
powerful LTI results by extending them to the LPV case. The
progress continued according to this philosophy and LPV control has
become a well established ?eld with many promising applications.
Unfortunately, modeling of LPV systems, especially based on
measured data (which is called system identi?cation) has seen a
limited development sincethebirthoftheframework.
Currentlythisbottleneck oftheLPVfra- work is halting the transfer
of the LPV theory into industrial use. Without good models that
ful?ll the expectations of the users and without the und- standing
how these models correspond to the dynamics of the application, it
is di?cult to design high performance LPV control solutions. This
book aims to bridge the gap between modeling and control by
investigating the fundamental questions of LPV modeling and
identi?cation. It explores the missing details of the LPV system
theory that have hindered the formu- tion of a well established
identi?cation framework.
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