The model predictive control problem is again considered but in this chapter, the linear subsystem models are represented by the state-equations. This is the most popular modelling approach and the solutions are, therefore, the most useful. The linear predictiveLinear predictive control control problem is first considered that requires the Kalman filter for stateState estimation estimation. The nonlinear model predictive control problem is then discussed where an operator term is included in the plant model. Problems in predictive control system design and implementation are also explored. The control design example is concerned with automotive engineAutomotive engine emissions control. The last section considers the so-called preview approach to a form of predictive control. This provides a slightly different perspective on the use of future information that can be useful in some applications.
State-Space Nonlinear Predictive Optimal Control
Nonlinear Industrial Control Systems ; Kapitel : 9 ; 377-423
20.05.2020
47 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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