DocumentCode :
238342
Title :
Real-time algorithm for nonlinear systems with incomplete state information using finite-horizon optimal control technique
Author :
Khamis, A. ; Subbaram Naidu, D.
Author_Institution :
Dept. of Electr. Eng., Idaho State Univ., Pocatello, ID, USA
fYear :
2014
fDate :
19-21 Aug. 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper discusses a novel efficient real-time technique used for finite-horizon nonlinear regulator problems with incomplete state information. This technique based on integrating the Kalman filter algorithm and the finite-horizon differential State Dependent Riccati Equation (SDRE) technique. In this technique, the optimal control problem of the nonlinear system is solved by using finite-horizon differential SDRE algorithm, which makes this technique effective for a wide range of operating points. A nonlinear mechanical crane is given to show the effectiveness of the proposed technique.
Keywords :
Kalman filters; Lyapunov methods; Riccati equations; nonlinear control systems; optimal control; stochastic systems; Kalman filter algorithm; SDRE technique; finite-horizon differential state dependent Riccati equation; finite-horizon nonlinear regulator; finite-horizon optimal control technique; incomplete state information; nonlinear mechanical crane; nonlinear systems; Cranes; Equations; Kalman filters; Mathematical model; Noise; Nonlinear systems; Optimal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Resilient Control Systems (ISRCS), 2014 7th International Symposium on
Conference_Location :
Denver, CO
Type :
conf
DOI :
10.1109/ISRCS.2014.6900094
Filename :
6900094
Link To Document :
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