The series Advances in Industrial Control aims to report and encourage
technology transfer in control engineering. The rapid development of
control technology has an impact on all areas of the control
discipline. New theory, new controllers, actuators, sensors, new
industrial processes, computer methods, new applications, new
philosophies , new challenges. Much of this development work resides
in industrial reports, feasibility study papers and the reports of
advanced collaborative projects. The series offers an opportunity for
researchers to present an extended exposition of such new work in all
aspects of industrial control for wider and rapid dissemination.
Almost all physical systems are nonlinear and the success of linear
control techniques depends on the extent of the nonlinear system
behaviour and the careful attention given to switching linear
controllers through the range of nonlinear system operations. In many
industrial and process-control applications, good engineering
practice, linear control systems and classical PID control can give
satisfactory performance because the process nonlinearity is mild and
the control system performance specification is not particularly
demanding; however, there are other industrial system applications
where the requirement for high-performance control can only be
achieved if nonlinear control design techniques are used. Thus, in
some industrial and technological domains there is a strong
justification for more applications of nonlinear methods. One
prevailing difficulty with nonlinear control methods is that they are
not so easily understood nor are they easy to reduce to formulaic
algorithms for routine application.
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A Practical Design Approach Using Neural Networks
Produktdetaljer
ISBN
9781846283505
Publisert
2020
Utgiver
Vendor
Springer
Språk
Product language
Engelsk
Format
Product format
Digital bok