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In adaptive neural network (NN) control, fast adaptation through high-gain learning rates can cause high-frequency oscillations in control response resulting in system instability. This study presents a simple adaptive NN with proportional derivative (PD) control strategy to achieve fast and low-frequency adaptation for a class of uncertain non-linear systems. Variable-gain PD control without the...
With unknown control gain function and plant bound functions, a H∞ direct adaptive fuzzy controller (AFC) for a class of single-input single-output (SISO) uncertain affine nonlinear systems under external disturbance is proposed. A conventional fuzzy logic system (FLS) is used to approximate the control gain function, and a FLS with variable universes of discourse, which has the characteristic of...
For a class of uncertain single-input single-output (SISO) nonlinear systems with unknown bound functions and unknown function control gain, a novel approach of direct adaptive fuzzy controller (AFC) without supervisory controller is proposed by Lyapunov synthesis. Based on the direct AFC with projection operator, it is developed a fuzzy approximation error estimator as adaptive compensator, which...
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