of Birmingham Neural adaptive control for uncertain nonlinear system with input saturation
This paper presents neural adaptive control methods for a class of nonlinear systems in the presence of actuator saturation by introducing alternative state variables and implementing state transformation, which ensures that the controllers can be developed without backstepping methodology.
Shigen Gao, Hairong Dong, B. Ning et al.
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