Yes / In this paper, a novel control algorithm is presented to
enhance the performance of the tracking property for a class of nonlinear and dynamic stochastic systems subjected to non-Gaussian
noises. Although the existing standard PI controller can be used
to obtain the basic tracking of the systems, the desired tracking
performance of the stochastic systems is difficult to achieve due
to the random noises. To improve the tracking performance, an enhanced performance loop is constructed using the EKF-based state
estimates without changing the existing closed loop with a PI controller. Meanwhile, the gain of the enhanced performance loop can
be obtained based upon the entropy optimization of the tracking
error. In addition, the stability of the closed loop system is analyzed in the mean-square sense. The simulation results are given
to illustrate the effectiveness of the proposed control algorithm. / This work was supported in part by the PNNL Control of Complex Systems Initiative and in part by the National Natural Science Foundation of China under Grants 61621004,61573022 and 61333007.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/17347 |
| Date | 03 October 2019 |
| Creators | Zhou, Y., Zhang, Qichun, Wang, H., Zhou, P., Chai, T. |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Article, Accepted manuscript |
| Rights | © 2018 IEEE. Reproduced in accordance with the publisher's self-archiving policy. |
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