## Abstract A constrained minimum variance controller is derived based on a moving horizon approach that explicitly accounts for hard constraints on process variables. A procedure for the performance assessment of constrained model predictive control systems is then developed based on the constrain
Minimum variance performance map for constrained model predictive control
β Scribed by Christopher A. Harrison; S. Joe Qin
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 306 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0959-1524
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We consider system identification of a linear model to be used for linear minimum variance prediction or control. Gaussian noise processes with everywhere positive spectral density may be assumed to be generated via an invertible transfer function. We consider non-Gaussian noise processes whose spec
In this paper, a model predictive control scheme with guaranteed closed-loop asymptotic stability is proposed for a class of constrained nonlinear time-delay systems with discrete and distributed delays. A suitable terminal cost functional and also an appropriate terminal region are utilized to achi