| Title | Command Filter-Based Adaptive Finite-Time Prescribed Performance Control for Uncertain Nonlinear Systems with Fuzzy Dead-Zone Input |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Yang, Wen, Xue, Hong, Hu, Shenglin, Liang, Hongjing |
| Conference Name | 2021 International Conference on Security, Pattern Analysis, and Cybernetics（SPAC) |
| Date Published | jun |
| Keywords | adaptive filtering, adaptive filters, Adaptive finite-time control, Adaptive systems, command filter, filtering theory, fuzzy dead-zone input, Metrics, Observers, prescribed performance, pubcrawl, resilience, Resiliency, Scalability, simulation, Stability criteria, Trajectory |
| Abstract | This paper is concerned with the problem of adaptive finite-time prescribed performance control for a category of uncertain nonlinear systems subject to fuzzy dead-zone input. Via combining the technologies of command filter and backstepping control, the ``singularity'' and the ``explosion of complexity'' issues within controller design procedure are avoided. Moreover, by designing a state observer and utilizing the center-of-gravity theorem, the unmeasured states of system are estimated and the fuzzy issue result from fuzzy dead-zone input is disposed, respectively. Meanwhile, a finite-time fuzzy controller is constructed via combining with finite-time stability criterion, which guarantees all the signals in closed-loop system are convergent and the trajectory of tracking error also strictly evolves within a predefined range in finite time. At last, some simulation results confirm the viability of presented theoretical results. |
| DOI | 10.1109/SPAC53836.2021.9539965 |
| Citation Key | yang_command_2021 |
Command Filter-Based Adaptive Finite-Time Prescribed Performance Control for Uncertain Nonlinear Systems with Fuzzy Dead-Zone Input