Design of robust fuzzy-model-based controller with sliding mode control for SISO nonlinear systems
Fuzzy Sets and Systems - Fuzzy control
Stability conditions of fuzzy systems and its application to structural and mechanical systems
Advances in Engineering Software
Robustness design of nonlinear systems: fuzzy Lyapunov approach
AEE'08 Proceedings of the 7th WSEAS International Conference on Application of Electrical Engineering
International Journal of Robotics Research
On the adaptive fuzzy stabilization of unknown nonlinear systems
Control and Intelligent Systems
Stability analysis and robustness design of nonlinear systems: An NN-based approach
Applied Soft Computing
Application of fuzzy logic for autonomous bay parking of automobiles
International Journal of Automation and Computing
New approaches to H∞ controller designs based on fuzzy observers for T-S fuzzy systems via LMI
Automatica (Journal of IFAC)
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This paper presents a backward movement control of an articulated vehicle via a model-based fuzzy control technique. A nonlinear dynamic model of the articulated vehicle is represented by a Takagi-Sugeno fuzzy model. The concept of parallel distributed compensation is employed to design a fuzzy controller from the Takagi-Sugeno fuzzy model of the articulated vehicle. Stability of the designed fuzzy control system is guaranteed via Lyapunov approach. The stability conditions are characterized in terms of linear matrix inequalities since the stability analysis is reduced to a problem of finding a common Lyapunov function for a set of Lyapunov inequalities. Simulation results and experimental results show that the designed fuzzy controller effectively achieves the backward movement control of the articulated vehicle