Title :
Using tomographic measurements in process control
Author :
Ruuskanen, Anna R. ; Seppanen, Aku ; Duncan, Stephen ; Somersalo, Erkki ; Kaipio, Jari P.
Author_Institution :
Dept. of Appl. Phys., Kuopio Univ., Finland
Abstract :
In this paper, model-based LQG control with impedance tomographic measurements is discussed. Impedance tomography is a difficult class of inverse ill-posed problems, which in the case of control system design, means that the computation of the state estimates is an unstable problem. It is shown with simulations that accurate stochastic modelling of the state and observation models may facilitate stable state estimation, which in turn facilitates feedback control. When the state evolution model is based on partial differential equations, the price is that the dimension of the state is invariably very large, since state reduction leads to intolerable approximation errors.
Keywords :
control system synthesis; feedback; inverse problems; linear quadratic Gaussian control; partial differential equations; process control; state estimation; tomography; control system design; feedback control; impedance tomographic measurements; inverse ill-posed problems; model-based LQG control; observation models; partial differential equations; process control; simulations; stable state estimation; state evolution model; stochastic modelling; unstable problem; Approximation error; Computational modeling; Control systems; Feedback control; Impedance measurement; Partial differential equations; Process control; State estimation; Stochastic processes; Tomography;
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
Print_ISBN :
0-7803-8682-5
DOI :
10.1109/CDC.2004.1429532