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Nonlinear Model Predictive Control of Combustion Engines - From Fundamentals to Applications (Hardcover, 1st ed. 2021)
Loot Price: R3,954
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Nonlinear Model Predictive Control of Combustion Engines - From Fundamentals to Applications (Hardcover, 1st ed. 2021)
Series: Advances in Industrial Control
Expected to ship within 12 - 17 working days
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This book provides an overview of the nonlinear model predictive
control (NMPC) concept for application to innovative combustion
engines. Readers can use this book to become more expert in
advanced combustion engine control and to develop and implement
their own NMPC algorithms to solve challenging control tasks in the
field. The significance of the advantages and relevancy for
practice is demonstrated by real-world engine and vehicle
application examples. The author provides an overview of
fundamental engine control systems, and addresses emerging control
problems, showing how they can be solved with NMPC. The
implementation of NMPC involves various development steps,
including: * reduced-order modeling of the process; * analysis of
system dynamics; * formulation of the optimization problem; and *
real-time feasible numerical solution of the optimization problem.
Readers will see the entire process of these steps, from the
fundamentals to several innovative applications. The application
examples highlight the actual difficulties and advantages when
implementing NMPC for engine control applications. Nonlinear Model
Predictive Control of Combustion Engines targets engineers and
researchers in academia and industry working in the field of engine
control. The book is laid out in a structured and easy-to-read
manner, supported by code examples in MATLAB (R)/Simulink (R), thus
expanding its readership to students and academics who would like
to understand the fundamental concepts of NMPC. Advances in
Industrial Control reports and encourages the transfer of
technology in control engineering. The rapid development of control
technology has an impact on all areas of the control discipline.
The series offers an opportunity for researchers to present an
extended exposition of new work in all aspects of industrial
control.
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