The topics of control engineering and signal processing continue to flour-
ish and develop. In common with general scientific investigation, new ideas,
concepts and interpretations emerge quite spontaneously and these are then
discussed, used, discarded or subsumed into the prevailing subject paradigm.
Sometimes these innovative concepts coalesce into a new sub-discipline
within the broad subject tapestry of control and signal processing. This pre-
liminary battle between old and new usually takes place at conferences,
through the Internet and in the journals of the discipline. After a little more
maturity has been acquired by the new concepts then archival publication as
a scientific or engineering monograph may occur.
A new concept in control and signal processing is known to have ar-
rived when sufficient material has evolved for the topic to be taught as a
specialised tutorial workshop or as a course to undergraduate, graduate or
industrial engineers. Advanced Textbooks in Control and Signal Processing are
designed as a vehicle for the systematic presentation of course material for
both popular and innovative topics in the discipline. It is hoped that prospective authors will welcome the opportunity to publish a structured and sys-
tematic presentation of some of the newer emerging control and signal pro-
cessing technologies in the textbook series.
Dead time is often present in control systems as computational or in-
formational delay but in most cases it is very small and is neglected. The
physical process under control can also contain dead time and when this is
significant then the control engineer will find that it may be harder to sta-
bilise the closed-loop system, that robustness margins are reduced and that
the time-domain performance deteriorates too. Dead time is widely found
in the process industries when transporting materials or energy. It is in this
application domain that first-order-plus-dead-time (FOPDT) and second-
order-plus-dead-time (SOPDT)models are commonly used to describe scalar
(SISO) and multivariable (MIMO) systems in the extensive published litera-
ture.
ish and develop. In common with general scientific investigation, new ideas,
concepts and interpretations emerge quite spontaneously and these are then
discussed, used, discarded or subsumed into the prevailing subject paradigm.
Sometimes these innovative concepts coalesce into a new sub-discipline
within the broad subject tapestry of control and signal processing. This pre-
liminary battle between old and new usually takes place at conferences,
through the Internet and in the journals of the discipline. After a little more
maturity has been acquired by the new concepts then archival publication as
a scientific or engineering monograph may occur.
A new concept in control and signal processing is known to have ar-
rived when sufficient material has evolved for the topic to be taught as a
specialised tutorial workshop or as a course to undergraduate, graduate or
industrial engineers. Advanced Textbooks in Control and Signal Processing are
designed as a vehicle for the systematic presentation of course material for
both popular and innovative topics in the discipline. It is hoped that prospective authors will welcome the opportunity to publish a structured and sys-
tematic presentation of some of the newer emerging control and signal pro-
cessing technologies in the textbook series.
Dead time is often present in control systems as computational or in-
formational delay but in most cases it is very small and is neglected. The
physical process under control can also contain dead time and when this is
significant then the control engineer will find that it may be harder to sta-
bilise the closed-loop system, that robustness margins are reduced and that
the time-domain performance deteriorates too. Dead time is widely found
in the process industries when transporting materials or energy. It is in this
application domain that first-order-plus-dead-time (FOPDT) and second-
order-plus-dead-time (SOPDT)models are commonly used to describe scalar
(SISO) and multivariable (MIMO) systems in the extensive published litera-
ture.
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