Adaptive Control of Linear Systems Based on Approximate Models

摘要

In the context of a restricted class of linear time invariant SISO discrete timedynamical systems, we propose an indirect adaptive regulation method capable of avoiding the so called pole-zero cancellation problem. The key idea is to use an approximate model for which the problem is nonexistent. The development of the adaptive algorithm proceeds from an identification perspective and relies on the concept of unfalsified model.