Automatica (Journal of IFAC)
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 05
Editorial: Special issue on soft computing for control of non-linear dynamical systems
Applied Soft Computing
Constrained infinite-horizon model predictive control for fuzzy-discrete-time systems
IEEE Transactions on Fuzzy Systems
H∞ output tracking fuzzy control for nonlinear systems with time-varying delay
Applied Soft Computing
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In this paper a new Takagi-Sugeno (T-S) fuzzy model with nonlinear consequence (TSFMNC) is presented which can approximate a class of smooth nonlinear systems, nonlinear dynamical systems and nonlinear control systems. It is also proved that Takagi-Sugeno fuzzy controller with nonlinear consequence (TSFCNC) can be used to approximate a class of nonlinear state-feedback controllers using the so-called parallel distributed compensation (PDC) method. The inverted pendulum problem has been simulated with TSFCNC and compared with Takagi-Sugeno fuzzy controller with linear consequence (TSFCLC) and the results show that TSFCNC performs better than TSFCLC. A real-life example of dynamic positioning of ship is simulated and the results also show that TSFCNC performs better than TSFCLC.