Details

Autor(en) / Beteiligte

• Sun, Kangkang
• Guo, Runsheng
• Qiu, Jianbin

Titel

Fuzzy Adaptive Switching Control for Stochastic Systems With Finite-Time Prescribed Performance

Ist Teil von

• IEEE transactions on cybernetics, 2022-09, Vol.52 (9), p.9922-9930

Ort / Verlag

United States: IEEE

Erscheinungsjahr

2022

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• The issue of fuzzy adaptive switching control for stochastic systems with arbitrary switching signal and finite-time prescribed performance is investigated in this article. A piecewise function is adopted to characterize finite-time prescribed performance, and the error signal is converted to a new state variable via the tangent function. Unknown functions are approximated via fuzzy-logic systems (FLSs). Based on the stochastic stability theory and common Lyapunov function, a fuzzy adaptive switching control scheme is presented. The control law is proposed for the stochastic switched closed-loop system so that not only all the signals are ensured to be semiglobally uniformly ultimately bounded (SGUUB) in probability but also a residual error related to the finite-time prescribed performance bound is guaranteed. Eventually, simulation studies for a practical system are given to show the effectiveness of the presented fuzzy adaptive switching control scheme.