@article{1436209,
      recid = {1436209},
      author = {Rajasingham, Thivaharan Albin,},
      title = {Nonlinear model predictive control of combustion engines :  from fundamentals to applications /},
      pages = {1 online resource (xvii, 330 pages) :},
      abstract = {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®/Simulink®, 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.},
      url = {http://library.usi.edu/record/1436209},
      doi = {https://doi.org/10.1007/978-3-030-68010-7},
}