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This paper shows the design and implementation of adaptive neural networks controller for DC motor speed control system. The DC motor is actuated by a pulse width modulation (PWM)-based H-bridge actuator. By using certain learning methods to the networks, changing a plant's parameter can be estimated and used to produce an appropriate control action. The experiment shows that the controller conforms to the adaptive control scheme, although there are flaws which relate to feedback resolution. The most interesting result is that the implementation circuit is based on a very simple 8-bit microcontroller system.