2008 Chinese Control and Decision Conference 2008
DOI: 10.1109/ccdc.2008.4598035
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Research on dynamic robust compensation decoupling controller of hydraulic flight simulator

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“…If x * , y * , λ * is the optimum of formula (13), then formula (21) is satisfied; on the contrary, if there is x * , y * , λ * satisfying (21), it is the best point of (13). In equation ( 21), the first line is called the initial problem feasibility condition; that is, the best point must satisfy the equality constraint of equation (12); the second and third lines are called dual-use conditions, where Operator z represents the subdifferential or subgradient operators that is described in detail in the previous section.…”
Section: Optimal Conditions and Stopping Criteria Of Thementioning
confidence: 99%
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“…If x * , y * , λ * is the optimum of formula (13), then formula (21) is satisfied; on the contrary, if there is x * , y * , λ * satisfying (21), it is the best point of (13). In equation ( 21), the first line is called the initial problem feasibility condition; that is, the best point must satisfy the equality constraint of equation (12); the second and third lines are called dual-use conditions, where Operator z represents the subdifferential or subgradient operators that is described in detail in the previous section.…”
Section: Optimal Conditions and Stopping Criteria Of Thementioning
confidence: 99%
“…Simulation results show the efficiency of disconnecting the controller. The nonlinear coupling problem in the simulator system is repaired [ 12 ]. A robust adaptive fuzzy relative-derived inverse dynamic disengagement control based on the fuzzy linear extended state is proposed and applied to trajectory tracking of the two-degree-of-freedom spherical motion mechanism.…”
Section: Introductionmentioning
confidence: 99%