Table 3. The percentage of common optimal driver nodes in the outcome of Task 1 (when only the location of drivers is optimized and Task 3 (when both location of drivers and feedback gains are simultaneously optimized), and the absolute difference (in percentage) between the feedback gains in Task 2 (when the feedback gains are optimized for the drivers found in Task 1) and Task 3.
| Network | Common Nodes between tasks 1 and 3 | Mean feedback gains difference between tasks 2 and 3 | Network | Common Nodes between tasks 1 and 3 | Mean feedback gains difference between tasks 2 and 3 |
|---|---|---|---|---|---|
| BA (m = 2) | 90% | 2.3% | WS (P = 0.08) | 60% | 1.1% |
| BA (m = 3) | 100% | 0.6% | WS (P = 0.1) | 80% | 0.9 |
| BA (m = 4) | 90% | 2.9% | WS (P = 0.12) | 70% | 1.4% |
| BA (m = 5) | 100% | 2.8% | WS (P = 0.14) | 70% | 1.6% |
| BA (m = 6) | 100% | 1.6% | WS (P = 0.16) | 75% | 0.7% |
| BA (m = 7) | 100% | 0.9% | WS (P = 0.18) | 75% | 2.4% |
| BA (m = 8) | 90% | 1% | WS (P = 0.2) | 80% | 1.2% |
| BA (m = 9) | 90% | 1.5% | |||
| BA (m = 10) | 90% | 0.3% |
The networks are Barabasi-Albert (BA) scale-free with different m and Watts-Strogatz (WS) small-world with different rewiring probability P.