A stability approach to fuzzy control design for nonlinear systems
Fuzzy Sets and Systems
Design fuzzy controllers for complex systems with an application to 3-stage inverted pendulums
Information Sciences: an International Journal
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Robust control by fuzzy sliding mode
Automatica (Journal of IFAC)
On the analysis of fuzzy logic controllers
Fuzzy Sets and Systems
Fuzzy control of a double-inverted pendulum
Fuzzy Sets and Systems
Design of fuzzy sliding-mode control systems
Fuzzy Sets and Systems
Indirect adaptive fuzzy sliding mode control: Part I: fuzzy switching
Fuzzy Sets and Systems
Decoupled fuzzy controller design with single-input fuzzy logic
Fuzzy Sets and Systems - Control and applications
Designing fuzzy controllers from a variable structures standpoint
IEEE Transactions on Fuzzy Systems
Decoupled fuzzy sliding-mode control
IEEE Transactions on Fuzzy Systems
Adaptive fuzzy controller with sliding surface for vehicle suspension control
IEEE Transactions on Fuzzy Systems
Fuzzy control of a benchmark problem: a computing with words approach
IEEE Transactions on Fuzzy Systems
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In this paper, a decoupled fuzzy sliding-mode controller design approach with adaptive manner is proposed. It has online learning ability to deal non-linear systems and to adjust the control rules parameters. The decoupled method addresses a simple way to acquire asymptotic stability for a class of non-linear systems and it demonstrates effectiveness and robustness. Finally, the Decoupled Adaptive Fuzzy Sliding Mode Control (DAFSMC) is used to control four highly non-linear systems and confirms the validity of the developed method. Using this method, the response of systems will converge faster than that described in previous reports.