Tham khảo tài liệu 'adaptive control system part 14', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 306 Stable multi-input multi-output adaptive fuzzy neural control Conclusions In this chapter we have developed direct and indirect adaptive MIMO control schemes which use Takagi-Sugeno fuzzy systems or a class of neural networks. We have proven stability of the methods and shown that they guarantee asymptotic convergence of the tracking errors to zero as well as boundedness of all the signals and parameter errors regardless of any initialization constraints. Both methods allow for the inclusion of previous knowledge or expertise in form of linguistics regarding what the control input should be in the direct case or what the plant dynamics are in the indirect case. We show that with or without such knowledge the stability and tracking properties of the controllers hold and present two simulations for direct adaptive control that illustrate the method. References 1 Procyk T. and Mamdani E. 1979 . A Linguistic Self-organizing Process Controller Automatica 15 1 15-30. 2 Driankov D. Hellendoorn H. and Reinfrank M. M. 1993 . An Introduction to Fuzzy Control. Springer-Verlag Berlin Heidelberg. 3 Layne J. R. Passino K. M. and Yurkovich s. 1993 . Fuzzy Learning Control for Anti-skid Braking Systems IEEE Trans. Control Systems Tech. 1 2 122-129 June. 4 Layne J. R. and Passino K. M. 1993 . Fuzzy Model Reference Learning Control for Cargo Ship Steering IEEE Control Systems Magazine 13 6 23-34 Dec. 5 Kwong w. A. Passino K. M. Lauknonen E. G. and Yurkovich s. 1995 . Expert Supervision of Fuzzy Learning Systems for Fault Tolerant Aircraft Control Proc of the IEEE Special Issue on Fuzzy Logic in Engineering Applications 83 3 466-483 March. 6 Moudgal V. G. Kwong w. A. Passino K. M. and Yurkovich s. 1995 . Fuzzy Learning Control for a Flexible-link Robot IEEE Transactions on Fuzzy Systems 3 2 199-210 May. 7 Kwong w. A. and Passino K. M. 1996 . Dynamically Focused Fuzzy Learning Control IEEE Trans on Systems Man and Cybernetics 26 1 53-74 Feb. 8 Spooner J. T. and Passino K. M.
