Model predictive control and identification: a linear state space model approach
- Resource Type
- Conference
- Authors
- Di Ruscio, D.
- Source
- Proceedings of the 36th IEEE Conference on Decision and Control Decision and control Decision and Control, 1997., Proceedings of the 36th IEEE Conference on. 4:3202-3209 vol.4 1997
- Subject
- Robotics and Control Systems
Computing and Processing
Predictive models
Predictive control
State-space methods
Vectors
Prediction algorithms
Space technology
System identification
Strain control
MIMO
Continuous time systems
- Language
- ISSN
- 0191-2216
In this paper a linear state space model predictive control algorithm is applied to a thermo-mechanical pulping refiner. The paper shows that input and output constraints can be incorporated into the state space model based control algorithm. The properties of the model predictive control (MPC) algorithm as well as comparisons with other MPC algorithms have been presented earlier by the author. A short review of the predictive control algorithm which is extended to handle constraints, is presented in this paper.