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