2022
DOI: 10.1016/j.apm.2022.04.016
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Time-delay feedback control of a cantilever beam with concentrated mass based on the homotopy analysis method

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Cited by 15 publications
(4 citation statements)
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“…where q ∈ [0, 1]is an embedding parameter, h is a non-zero auxiliary function (denotes the convergence control parameter [23,26,27,44]), L is an auxiliary linear operator which has the property L (0) = 0, u 0 (x) is an initial guess of u (x) and ϕ (x; q) is an unknown function. The zero-order deformation equation of the operator H (ϕ, q) = 0 is considered as follow:…”
Section: Fundamental Of the Hammentioning
confidence: 99%
“…where q ∈ [0, 1]is an embedding parameter, h is a non-zero auxiliary function (denotes the convergence control parameter [23,26,27,44]), L is an auxiliary linear operator which has the property L (0) = 0, u 0 (x) is an initial guess of u (x) and ϕ (x; q) is an unknown function. The zero-order deformation equation of the operator H (ϕ, q) = 0 is considered as follow:…”
Section: Fundamental Of the Hammentioning
confidence: 99%
“…They presented a suitable trend for determining the Lagrange multiplier by considering the effects of concentrated mass on natural frequencies in linear and nonlinear states. Xuan et al [ 30 ] investigated the strong nonlinear vibration of a cantilever beam system with a concentrated mass at an intermediate position controlled by displacement and velocity time delay.…”
Section: Introductionmentioning
confidence: 99%
“…Time delay is often encountered in various engineering and communication systems, and time delay in dynamic systems is often the main source of instability and performance degradation. Therefore, for T-S fuzzy systems with time delay, there are some controller design results [24][25][26][27] and FE results 8,[28][29][30][31][32] recently. Especially, by amending the composite Lyapunov approach, several fault-tolerant control laws for singularly perturbed systems with actuator faults and disturbances are proposed in literature 28 to overcome the fast-slow decomposition requirement conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Figures 21,23 and 25 respectively show the output curves of the actual fault value and the observer estimation value when the perturbation parameters are different. It can be seen from the figure that when the perturbation parameters are 𝜀 = 𝜀 ver1 = 0.54(𝜀 ver1 ∈ (0, 𝜀 * ]) and 𝜀 = 𝜀 * opt = 0.55, the anti disturbance ability and stability performance are similar, but when 𝜀 = 𝜀 ver2 = 0.56(𝜀 ver2 ∉ (0, 𝜀 * ]), compared with the simulation track, the fault estimation error at 𝜀 = 𝜀 * opt = 0.55 is smaller, and the ability to suppress external disturbances is stronger.Figures 22,24 and 26 describe the corresponding system estimation error curves. As can be seen from the figure, the method proposed in this paper has a small state error…”
mentioning
confidence: 99%