The generalized minimum variance controlGeneralized minimum variance control problem is considered for systems that include a nonlinear black-box subsystem. This is the first of the chapters to use state-space models for representing the linear subsystems. The Kalman filter is introduced for state estimation and its properties analysed. The stabilityStability of the system is discussed and the relationship of the controller structure to a SmithSmith predictor predictor is established. A multivariableMultivariable control control design example is provided that includes a plant in a Hammerstein model form that is often a reasonable approximation to use in applications.
State-Space Approach to Nonlinear Optimal Control
Nonlinear Industrial Control Systems ; Kapitel : 8 ; 347-375
2020-05-20
29 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
State-Space Nonlinear Predictive Optimal Control
Springer Verlag | 2020
|State-Space Approach to l-Optimal Robust Tracking
AIAA | 2000
|LPV/State-Dependent Nonlinear Predictive Optimal Control
Springer Verlag | 2020
|LPV and State-Dependent Nonlinear Optimal Control
Springer Verlag | 2020
|