Adaptive fuzzy robust tracking controller design via small gain approach and its application.

Adaptive fuzzy robust tracking controller design via small gain approach and its application.

An adaptive fuzzy robust tracking control (AFRTC) algorithm is proposed for a class of nonlinear systems with the uncertain system function and uncertain gain function, which are all the unstructured (or nonrepeatable) state-dependent unknown nonlinear functions arising from modeling errors and exte...

Täydet tiedot

Bibliografiset tiedot
Julkaisussa:IEEE Transactions on fuzzy systems 11, 6 (2003).
Päätekijä: Yansheng Yang
Aineistotyyppi: Artikkeli
Kieli:English
Aiheet:
Takagi-Sugeno type fuzzy logic systems.
Adaptive fuzzy robust tracking controller design.
Adaptive mechanism.
Closed-loop adaptive systems.
Controller singularity problem.
Input-to-state stability.
Minimal learning parameterizations.
Nonlinear systems.
Nonrepeatable uncertainties.
Pole-balancing robot system.
Ship autopilot system.
Small gain approach.
Tracking control design.
Uncertain gain function.
Uncertain system function.
Uniform ultimate boundedness.