Composite Observer-based Finite-time Command Filtered Adaptive Control for Full-state Constraints Nonlinear Systems

Abstract In this paper, we look at a type of strict-feedback nonlinear systems that have neural adaptive finite-time command filtered control and full-state constraints. To begin with, indeterminate functions are estimated using the NN. The system’s capacity to detect unmeasurable states disturbances is done while composite observer, which significantly boosts anti-interference performance. Next, issue “complex explosion” arose in backstepping technique resolved by adding modified fractional-order filter. order address constraint issues, BLF also introduced. An tracking controller created Lyapunov’s theory analysis make sure all signals confined finite time period. Lastly, simulation study conducted evaluate performance suggested strategy.