Abstract
Practical issues in implementation of recursive least-squares techniques are investigated through experiments for the robust parameter estimation of a building's thermal processes. A set of supervisory rules is derived from the basic physical laws and the necessary conditions for stable systems. An approach to robust parameter estimation of a building's thermal systems is developed and implemented for the real-time identification of an outdoor test-room with high solar gains and radiant heating. Experimental results show that the room temperatures computed by the identified models agree well with the measured data.
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