In this paper an approach to design adaptive controllers, for SISO systems, based on principal components analysis (PCA models) is presented. Closed-loop control can be formulated and implemented within the reduced space defined by a PCA model. This PCA controller, results in an integral controller, which can be used as an inferential controller for nonlinear systems. The main contribution of the paper is the adaptive mechanism based on online recursive PCA, using eigenvector perturbation, for process control applications. Some experimental results, obtained with a nonlinear system (the three tank benchmark) are presented, showing the controller performance.
|Title of host publication||na|
|Publication status||Published - 1 Jan 2011|
|Event||18th World Congress of the International Federation of Automatic Control (IFAC) - |
Duration: 1 Jan 2011 → …
|Conference||18th World Congress of the International Federation of Automatic Control (IFAC)|
|Period||1/01/11 → …|