Title :
State estimation nonlinear QDMC with input-output models
Author :
Gattu, Gangadhar ; Zafiriou, Evanghelos
Author_Institution :
Dept. of Chem. Eng., Maryland Univ., College Park, MD, USA
fDate :
29 June-1 July 1994
Abstract :
A state estimation NLQDMC (nonlinear LQ dynamic matrix control) algorithm is presented for use with nonlinear input-output models. The proposed algorithm extends the state estimation NLQDMC presented previously by the authros (1992) to nonlinear models identified using input-output information. The algorithm preserves the computational advantages of the previous approach when compared to the other algorithms based on nonlinear programming techniques. The illustrating example given demonstrates the usage of tuning parameters and points out the benefits and shortcomings of the algorithm.
Keywords :
linear quadratic control; nonlinear control systems; state estimation; state-space methods; LQ dynamic matrix control; input-output models; nonlinear QDMC; nonlinear input-output models; state estimation; tuning parameters; Covariance matrix; Noise measurement; Open loop systems; Predictive models; Q measurement; Regulators; Riccati equations; State estimation; Stochastic processes; White noise;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.735175