International Journal of Control, Automation, and Systems 2025; 23(1): 150-161
https://doi.org/10.1007/s12555-024-0642-5
© The International Journal of Control, Automation, and Systems
The fixed-time stabilization problem for stochastic low-order nonlinear systems with output constraints is examined in this paper. In order to translate output-constrained stochastic systems into an equivalent unconstrained form, a coordinate transformation is utilized. A new design and analysis technique is developed which employs the fixed-time Lyapunov stability theorem to ensure that all of the closed-loop signals are almost surely bound and the trivial solution of the closed-loop system is stochastically fixed-time stable while satisfying the output constraint. The validity of the designed scheme is substantiated via simulation results.
Keywords Coordinate transformation, fixed-time stable, output constraint, stochastic low-order nonlinear systems.
International Journal of Control, Automation, and Systems 2025; 23(1): 150-161
Published online January 1, 2025 https://doi.org/10.1007/s12555-024-0642-5
Copyright © The International Journal of Control, Automation, and Systems.
Qiqi Ni, Mengmeng Jiang*, and Xiao Niu
Liaocheng University
The fixed-time stabilization problem for stochastic low-order nonlinear systems with output constraints is examined in this paper. In order to translate output-constrained stochastic systems into an equivalent unconstrained form, a coordinate transformation is utilized. A new design and analysis technique is developed which employs the fixed-time Lyapunov stability theorem to ensure that all of the closed-loop signals are almost surely bound and the trivial solution of the closed-loop system is stochastically fixed-time stable while satisfying the output constraint. The validity of the designed scheme is substantiated via simulation results.
Keywords: Coordinate transformation, fixed-time stable, output constraint, stochastic low-order nonlinear systems.
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