Fig. 9From: Optimal measurement budget allocation for Kalman prediction over a finite time horizon by genetic algorithmsCost (30) for all \(N\in \{1,\dots,T\}\) and for the regular measurements (14) and the irregular measurements found by the genetic algorithm (GA). The minimum cost with respect to N is depicted in each case. The considered dynamic system is (31) and (32) with T=100 and f(N)=NĪ±. Results are presented for Ī±ā{0.2,0.5,0.75,1,1.25,2,5}Back to article page