2022
DOI: 10.1002/rnc.6495
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Stochastic stabilization of multi‐degree‐of‐freedom nonlinear random‐time‐delay controlled systems

Abstract: The random‐time‐delay (RTD) occurs inevitably in feedback control, caused by the utilization of a multi‐user network with random demands. This paper is devoted to the stochastic stabilization of multi‐degree‐of‐freedom (MDOF) nonlinear RTD controlled systems. Firstly, a two‐step approximated method is proposed to deal with RTD: by modeling the RTD as a Markov jump process, the RTD control is formulated as the one with discrete jump varying delay; utilizing the randomly periodic characteristic, the Markov jump … Show more

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Cited by 2 publications
(1 citation statement)
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“…The full‐state feedback multi‐loop controller was used to solve the system nonlinearities and parameter dependence problems by incorporating a combination of active damping and a disturbance observer (DOB), 3 which is an advanced solution to the flatness‐technique‐based feedback linearization controller 2 . However, this recent development does not guarantee ideal performance during actual implementation owing to the uncertain time delays between the local agents and main controller, which can be alleviated by incorporating additional time‐delay compensation mechanisms (as in References 8–10) in the main control loop.…”
Section: Introductionmentioning
confidence: 99%
“…The full‐state feedback multi‐loop controller was used to solve the system nonlinearities and parameter dependence problems by incorporating a combination of active damping and a disturbance observer (DOB), 3 which is an advanced solution to the flatness‐technique‐based feedback linearization controller 2 . However, this recent development does not guarantee ideal performance during actual implementation owing to the uncertain time delays between the local agents and main controller, which can be alleviated by incorporating additional time‐delay compensation mechanisms (as in References 8–10) in the main control loop.…”
Section: Introductionmentioning
confidence: 99%