Predefined-Time Backstepping Stabilization of Autonomous Nonlinear Systems

Garza-Alonso, Alison; Basin, Michael V.; Rodriguez‐Ramirez, Pablo

doi:10.1109/jas.2022.105953

Cited by 7 publications

(1 citation statement)

References 16 publications

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“…Step 5: The data are subjected to an inverse normalisation operation and the accuracy evaluation metric is used for model evaluation [18].…”

Section: Model Workflowmentioning

confidence: 99%

Medium and Long Term Runoff Forecast of Huaihe River Basin Based on Machine Learning

2022

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Water resources are the source of life and the basis of ecology, and medium-and long-term runoff forecasting plays an important role in the overall planning of water resources. However, complex factors such as climate change affect the formation of runoff, making the runoff process more complex and posing a great challenge to hydrological forecasting. Therefore, this paper investigates the medium-and long-term runoff forecasting in the Huaihe River basin based on machine learning. The paper takes the improvement of medium-and long-term runoff prediction accuracy as the background, and combines the specific requirements of practical projects and research ideas to characterise the runoff series in the Huaihe River basin. The results of runoff simulation and forecasting under future climate change are also analyzed using the BOA-EEMD-LSTM model.

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“…Step 5: The data are subjected to an inverse normalisation operation and the accuracy evaluation metric is used for model evaluation [18].…”

Section: Model Workflowmentioning

confidence: 99%

Medium and Long Term Runoff Forecast of Huaihe River Basin Based on Machine Learning

2022

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Predefined‐Time Stabilization for Low‐Order Nonlinear Systems With Time‐Varying Orders and Output Constraint

Sun,

Cui

2024

Intl J Robust & Nonlinear

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This paper solves the problem of predefined‐time stabilization for low‐order nonlinear systems with time‐varying orders and the asymmetric output constraint. We construct a tangent‐type barrier Lyapunov function to handle the output constraint. By using the presented barrier Lyapunov function and the adding a power integrator technique, a novel continuous state‐feedback controller is designed to guarantee that the solution of the closed‐loop system is predefined‐time stable while the output constraint is not transgressed.

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Predefined-time Fuzzy Output Feedback Control for Nonlinear Systems with Multiple Actuator Constraints

Wang,

Niu,

Wang

2024

Int. J. Fuzzy Syst.

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Predefined-Time Backstepping Stabilization of Autonomous Nonlinear Systems

Cited by 7 publications

References 16 publications

Medium and Long Term Runoff Forecast of Huaihe River Basin Based on Machine Learning

Medium and Long Term Runoff Forecast of Huaihe River Basin Based on Machine Learning

Predefined‐Time Stabilization for Low‐Order Nonlinear Systems With Time‐Varying Orders and Output Constraint

Predefined-time Fuzzy Output Feedback Control for Nonlinear Systems with Multiple Actuator Constraints

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