Among all advanced control methods, model-based predictive controls (MPCs), or model predictive controls for short, are the most commonly used in industry [62, 109, 178, 276, 352, 354]. In the processing industry, especially in refineries, chemical plants, cement mills, and paper and steel production, MPCs are well-established standard procedures. MPCs are nonlinear control methods which are generally suitable to linear plants with limited control and state variables, and to nonlinear plants as well. The reasons for their widespread and successful use are the good explainability of their basic principle and their applicability to complex high-order dynamical systems.
Nonlinear Control of Linear and Nonlinear Systems
Nonlinear Systems and Controls ; Chapter : 6 ; 503-599
2022-12-02
97 pages
Article/Chapter (Book)
Electronic Resource
English
Nonlinear Control of Linear and Nonlinear Systems
Springer Verlag | 2024
|Nonlinear Control of Linear Systems
Springer Verlag | 2024
|Nonlinear Control of Linear Systems
Springer Verlag | 2022
|Nonlinear Control of Nonlinear Systems
Springer Verlag | 2022
|