Loading...

Robust multiple model adaptive control using fuzzy fusion

Sadati, N ; Sharif University of Technology | 2010

686 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/SSST.2010.5442796
  3. Publisher: 2010
  4. Abstract:
  5. A robust multiple model adaptive control strategy using fuzzy fusion (RMMAC-FF) is presented in this paper. The main idea in multi-model controllers is to identify the best model of the system at any instant of time and apply the appropriate control input to it. RMMAC-FF, integrates a fuzzy robust controller, with the fuzzy multiple model adaptive estimation and a fuzzy switching to come up with a new strong methodology to control complex systems. Simulation results of the RMMAC-FF on a two-cart system, used as a benchmark problem, verify the theory and confirm the effectiveness of the proposed controller
  6. Keywords:
  7. Bench-mark problems ; Best model ; Cart system ; Complex systems ; Control inputs ; Fuzzy fusion ; Multi-model controller ; Multiple model adaptive estimation ; Robust controllers ; Robust multiple model adaptive controls ; Simulation result ; Controllers ; System theory ; Adaptive control systems
  8. Source: 2010 42nd Southeastern Symposium on System Theory, SSST 2010, Tyler, TX, 7 March 2010 through 9 March 2010 ; March , 2010 , Pages 19-24 ; 9781424456901 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/5442796/?tp=&arnumber=5442796