: Gas analysis instruments are required in many applications. Among the available technologies the so called Electronic Noses has become popular due to their specific advantages such as portability and low cost. So far, gas sensor arrays and thermally-modulated metal oxide gas sensors have shown to be a suitable choice for developing an Electronic Nose. The response patterns produced by both of these methods can be used as a fingerprint for gas identification. Here, we have proposed a method for biasing the metal oxide gas sensors of a sensor array. In this method, instead of a fixed-bias and equivalently a fixed operating temperature, the input power to the microheater is adjusted based on the resistance of the sensing layer. In this way the microheater is thermally and electrically coupled to the sensing layer. At any environmental conditions the temperature of gas sensors is adjusted so that the circuit reaches a stable condition. To experimentally verify the applicability of the proposed methods, two generic metal oxide gas sensors were used. The temperature-dependent responses of the sensors were obtained experimentally. Then, two different bias circuits were designed to bias the sensors in a self-regulated mode of operation. The self-regulated metal oxide gas sensors were exposed to different concentrations of the selected target gases. The resulted transient responses were recorded as the fingerprints of gas sensors. The statistical analysis of these patterns showed that they contain enough discriminating information for the identification of target gases. In addition to gas identification, results shows that the proposed self-regulated bias circuits can remarkably reduce the power consumption of the sensor and can memorize the exposure events. Keyword: Gas Sensor Array, Metal Oxide Gas Sensor, Temperature Modulation, Self Regulating Operating Point, Electronic Nose.