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To address the issue of limited controllable range of a previously developed artificial neural network (ANN)-based controller for a direct expansion (DX) air conditioning (A/C) system,on-line adaptive control system is introduced. The control ability tests for the controller were carried out using an experimental DX A/C system. The test results showed that the ANN-based on-line adaptive controller developed was able to control indoor air dry-bulb and wet-bulb temperatures both near and away from the operating condition at which an ANN-based dynamic model in the ANN-based on-line adaptive controller was initially trained,with a high control accuracy. The controller has some practical value. Also,it has a certain significance for other controller design.