Explicit Nonlinear Model Predictive Control Theory and Applications /
Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time...
Main Authors: | Grancharova, Alexandra (Author), Johansen, Tor Arne (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2012.
|
Series: | Lecture Notes in Control and Information Sciences,
429 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Time-Dependent Switched Discrete-Time Linear Systems: Control and Filtering
by: Zhang, Lixian, et al.
Published: (2016) -
Domain of Attraction Analysis and Control via SOS Programming /
by: Chesi, Graziano
Published: (2011) -
Analysis and Design of Markov Jump Systems with Complex Transition Probabilities
by: Zhang, Lixian, et al.
Published: (2016) -
Fractional-Order Nonlinear Systems Modeling, Analysis and Simulation /
by: Petráš, Ivo
Published: (2011) -
Nonlinear Systems Techniques for Dynamical Analysis and Control /
Published: (2017)