Abstract
For many engineering and industrial systems, the stationary probability density functions (SPDFs) of the key outputs are required to control and shape for targeting a pre-designed function. In this paper, the shaping control of SPDF of a nonlinear stochastic system via dimension augmentation method is reported. The nonlinear stochastic dynamic system is transformed into an augmented system with Hamiltonian structure by dimension augmenting. The target pre-designed SPDF is augmented accordingly. The Hamiltonian function H of the augmented system is determined by solving the Poisson bracket of Hamiltonian and target SPDF, which derives from the balance condition of the probability circulation flow. The analytical expression of shaping control is then obtained from the condition that the probability potential flow is zero. A two-dimensional nonlinear stochastic system is carried out as an example. Numerical results show that the proposed control strategy can accurately shape the stationary probability density functions.
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This work was supported by The State Grid Science and Technology Project (No. SGZJJXI0SYJS2101112).
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Hongwu Bai contributed to investigation, methodology, and writing—original draft; Lei Xia contributed to validation, supervision and writing—review; Huajie Zhang contributed to writing—original draft; Mengshi Zhao contributed to investigation and software; Yifan Guo contributed to validation and writing—review; Ronghua Huan contributed to resources, supervision, and validation.
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Bai, H., Xia, L., Zhang, H. et al. Shaping control of stationary probability density function of nonlinear stochastic system via dimension augmentation method. Int. J. Dynam. Control 11, 2335–2341 (2023). https://doi.org/10.1007/s40435-023-01117-5
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DOI: https://doi.org/10.1007/s40435-023-01117-5