The Comparison of Unfalsified Control and Iterative Feedback Tuning †

In this paper, we compare two data-driven model-free adaptive control design schemes: gradient-based myopic unfalsified control (MUC) and iterative feedback tuning (IFC). Both have drawn much attention in recent years, each with its own advantages. Based on our analysis and simulation results, we conclude that advantages of MUC are that it requires few assumptions on the plant and seems to be simpler to implement and faster to adapt.

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