Developing an innovative method to control the probability density function shape of the state response for nonlinear stochastic systems
DOI10.1002/rnc.5725zbMath1527.93427OpenAlexW3196156420MaRDI QIDQ6092364
Lingzhi Wang, Guo Xie, Fucai Qian, Unnamed Author
Publication date: 23 November 2023
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.5725
nonlinear controlprobability density functionnonlinear stochastic systemscomplete statistical characteristicsFokker-Planck-Kolmogrov equation
Control/observation systems governed by partial differential equations (93C20) Nonlinear systems in control theory (93C10) Stochastic systems in control theory (general) (93E03) Fokker-Planck equations (35Q84)
Cites Work
- Towards fully probabilistic control design
- The PDF shape control of the state variable for a class of stochastic systems
- Robust control of the output probability density functions for multivariable stochastic systems with guaranteed stability
- Bounded stochastic distributions control for pseudo-ARMAX stochastic systems
- Probability density statistical and equivalent linearization techniques
- Polynomial filtering for nonlinear stochastic systems with state‐ and disturbance‐dependent noises
- Minimum entropy control of non-Gaussian dynamic stochastic systems
- Energy‐based finite‐time stabilization and H∞ control of stochastic nonlinear systems
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