  We introduce a new concept called scalability to adaptive control in this
paper. In particular, we analyze how to scale learning rates of adaptive weight
update laws of various adaptive control schemes with respect to given command
profiles to achieve a predictable closed-loop response. An illustrative
numerical example is provided to demonstrate the proposed concept, which
emphasize that it can be an effective tool for validation and verification of
adaptive controllers.
