Real-time algorithm for nonlinear systems with incomplete state information using finite-horizon optimal control technique

Ahmed Khamis; D. Subbaram Naidu

doi:10.1109/ISRCS.2014.6900094

Real-time algorithm for nonlinear systems with incomplete state information using finite-horizon optimal control technique

Ahmed Khamis, D. Subbaram Naidu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

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.

Original language	English (US)
Title of host publication	7th International Symposium on Resilient Control Systems, ISRCS 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479941872
DOIs	https://doi.org/10.1109/ISRCS.2014.6900094
State	Published - Sep 16 2014
Externally published	Yes
Event	7th International Symposium on Resilient Control Systems, ISRCS 2014 - Denver, United States Duration: Aug 19 2014 → Aug 21 2014

Publication series

Name	7th International Symposium on Resilient Control Systems, ISRCS 2014

Other

Other	7th International Symposium on Resilient Control Systems, ISRCS 2014
Country/Territory	United States
City	Denver
Period	8/19/14 → 8/21/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

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10.1109/ISRCS.2014.6900094

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Khamis, A., & Subbaram Naidu, D. (2014). Real-time algorithm for nonlinear systems with incomplete state information using finite-horizon optimal control technique. In 7th International Symposium on Resilient Control Systems, ISRCS 2014 [6900094] (7th International Symposium on Resilient Control Systems, ISRCS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISRCS.2014.6900094

Real-time algorithm for nonlinear systems with incomplete state information using finite-horizon optimal control technique. / Khamis, Ahmed; Subbaram Naidu, D.

7th International Symposium on Resilient Control Systems, ISRCS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 6900094 (7th International Symposium on Resilient Control Systems, ISRCS 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Khamis, A & Subbaram Naidu, D 2014, Real-time algorithm for nonlinear systems with incomplete state information using finite-horizon optimal control technique. in 7th International Symposium on Resilient Control Systems, ISRCS 2014., 6900094, 7th International Symposium on Resilient Control Systems, ISRCS 2014, Institute of Electrical and Electronics Engineers Inc., 7th International Symposium on Resilient Control Systems, ISRCS 2014, Denver, United States, 8/19/14. https://doi.org/10.1109/ISRCS.2014.6900094

Khamis A, Subbaram Naidu D. Real-time algorithm for nonlinear systems with incomplete state information using finite-horizon optimal control technique. In 7th International Symposium on Resilient Control Systems, ISRCS 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 6900094. (7th International Symposium on Resilient Control Systems, ISRCS 2014). https://doi.org/10.1109/ISRCS.2014.6900094

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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.",

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N2 - 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.

AB - 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.

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Real-time algorithm for nonlinear systems with incomplete state information using finite-horizon optimal control technique

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