Abstract
An adaptive fuzzy systems approach to state feedback input-output (i/o) linearising controller is outlined. The analysis is based on a general nonlinear multiinput multioutput (MIMO) systems, with minimum phase zero dynamics and uncertainties satisfying the matching condition. The adaptive fuzzy system is incorporated into the control system as an outer feedback loop to increase the robustness of the i/o linearising controller. The adaptive fuzzy system is also intended to add learning and provide a channel to incorporate human expert knowledge in the form of fuzzy rule ‘intelligence’ with conventional i/o linearising controllers. Finally, a spacecraft attitude control problem is used to compare the technique with a conventional i/o linearising controller.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
