2020
DOI: 10.1155/2020/7254503
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A Novel Sliding Mode Control with Low-Pass Filter for Nonlinear Handling Chain System in Container Ports

Abstract: Nonlinearities in a container port handling chain include mainly nonnegative arrive rate of container cargoes, limited container handling completion rate, and nonnegative unsatisfied freight requirement constraints. The nonlinearity influences the operation resources availability and consequently the planned container port handling strategies. Developments presented in this work are devoted to a novel design of sliding mode control with low-pass filter (SMC-LPF) to nonlinear handling chain system (HCS) in cont… Show more

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Cited by 4 publications
(6 citation statements)
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“…Thirdly, the actual HCS in container ports requires small steady-state error, fast and good robustness, strong resilience, which has led great difficulties to design an appropriate control strategy. The control approaches can improve the performance by optimizing control decisions on the system behaviors (Xu et al, 2019; [2,20]. In these cases, it can be observed [22][23][24][25].…”
Section: B Motivations For Workmentioning
confidence: 99%
See 2 more Smart Citations
“…Thirdly, the actual HCS in container ports requires small steady-state error, fast and good robustness, strong resilience, which has led great difficulties to design an appropriate control strategy. The control approaches can improve the performance by optimizing control decisions on the system behaviors (Xu et al, 2019; [2,20]. In these cases, it can be observed [22][23][24][25].…”
Section: B Motivations For Workmentioning
confidence: 99%
“…In summary, few scholars have considered the uncertainty in the nonlinear HCS of container ports from a control viewpoint (Xu et al, 2019; [2,20], which is the core of this work. It is very constructive and meaningful to use control techniques to evaluate the robustness and resilience of the HCS in case of uncertainty of container ports, since in many real cases the freight demand of containers might vary due to many different aspects.…”
Section: B Motivations For Workmentioning
confidence: 99%
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“…Another solution is the use of a second-order SMC (SOSMC) [21,22], which uses the integral of the chattering signal as control input of a plant. A generalization of the second-order SMC is the low-pass filter (LPF) [23][24][25][26]. The integral, or the more general low-pass filter, is included as part of the plant model, which improves precision.…”
Section: Introductionmentioning
confidence: 99%
“…• uses the robust sliding mode control technique [8,11,18,19]; • has low-chattering with low degradation in performance by the use of a low-pass filter modelled as a plant component [23][24][25][26]; • uses a variant of the LPF SMC that is mathematically and computationally simpler than the usual approach, and removes computation of higher-order derivatives [24]; • is a multi-agent decentralized/synchronous approach [18,23].…”
Section: Introductionmentioning
confidence: 99%