| Title | Observer-Based Fuzzy Adaptive Command Filtering Finite-Time Control of Stochastic Nonlinear Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Wang, Libin, Wang, Huanqing, Liu, Peter Xiaoping |
| Conference Name | 2021 International Conference on Security, Pattern Analysis, and Cybernetics（SPAC) |
| Date Published | June 2021 |
| Publisher | IEEE |
| ISBN Number | 978-1-6654-4322-7 |
| Keywords | Adaptive, adaptive filtering, Adaptive systems, Backstepping control, command filtered, Filtering, Fuzzy logic, Metrics, Observers, pubcrawl, resilience, Resiliency, Scalability, simulation, Stability analysis, stochastic systems |
| Abstract | The output feedback problem of finite-time command filtering for nonlinear systems with random disturbance is addressed in this paper. This is the first time that command filtering and output feedback are integrated so that a nonlinear system with random disturbance converge rapidly in finite time. The uncertain functions and unmeasured states are estimated by the fuzzy logic system (FLS) and nonlinear state observer, respectively. Based on the adaptive framework, command filtering technology is applied to mitigate the problem of ``term explosion'' inherent in traditional methods, and error compensation mechanism is considered to improve the control performance of the system. The developed output feedback controller ensures the boundedness of all signals in the stochastic system within a finite time, and the convergence residual can converge to a small region. The validity of this scheme is well verified in a numerical example. |
| URL | https://ieeexplore.ieee.org/document/9539932 |
| DOI | 10.1109/SPAC53836.2021.9539932 |
| Citation Key | wang_observer-based_2021 |
Observer-Based Fuzzy Adaptive Command Filtering Finite-Time Control of Stochastic Nonlinear Systems