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  • 青岛科技大学

杨树国

基于数学建模的“三轴联动、五层递进”研究生创新能力培养模式的研究与实践 -----第九届山东省省级教学成果奖佐证材料一、成果曾获奖励二、团队主要成员指导研究生数学建模竞赛获奖统计三、我校连续12年获“中国研究生数学建模竞赛优秀组织奖”荣誉称号四、团队主要成员获批教研项目五、团队主要成员获批课程立项六、团队主要成员的教学论文和教材七、成果推广应用证明

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Adaptive multi-dimensional Taylor network tracking control for nonlinear systems with input saturation and full state time-ying constraints

发布时间:2023-10-19 点击次数:

  • 关键字:BARRIER LYAPUNOV FUNCTIONS; DESIGN
  • 摘要:In this article, an adaptive multi-dimensional Taylor network (MTN) control approach is developed for nonlinear systems subject to input saturation and full state time-ying constraints. Using the function approximation property of MTN, an adaptive tracking control method is developed by incorporating the concept of time-ying state constraints into the construct of barrier Lyapunov functions. The proposed approach not only ensures all closed-loop system signals are bounded but also that all states of the system never violate the given time-ying constraints. The most important advantage of the proposed control strategy is that it can obtain satisfactory control effects with low computational cost. Finally, two examples are given to validate the effectiveness of the proposed method.
  • 卷号:36
  • 期号:9
  • 是否译文: