Abstract
This paper explores preassigned performance control (PPC) in finite-time for uncertain nonlinear systems under input saturation and unmeasurable states. The key is that a modified finite-time performance function is constructed such that the expected performance indicators can be obtained in finite-time. Simultaneously, the effect of saturation nonlinearity is compensated via utilizing mean-value theorem. By combining fuzzy universal approximator and adaptive parameter estimation technology, a novel PPC algorithm is developed, which realizes that tracking error converges to preassigned range in finite-time. Finally, the viability of developed control algorithm is demonstrated via two examples.
DOI: 10.61416/ceai.v27i3.9505