Abstract
This paper studies the adaptive fuzzy consensus control problem for uncertain nonlinear second-order systems with output constraints and an active leader under directed communication graphs. Fuzzy logic systems are utilized to identify the unknown dynamics of the followers. A novel adaptive fuzzy leader-following consensus control is constructed by combining dynamic surface control with Barrier Lyapunov function. The proposed consensus control approach can guarantee all followers to synchronize to the leader with bounded tracking errors. Besides, the output constraints are not violated. A simulation example is provided to illustrate the performance of the proposed consensus control approach.
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