Research Article
Fractional-Order Predictive Functional Control of Industrial Processes with Partial Actuator Failures
Table 4
Related adjustable parameters used in three different evolutionary algorithms and corresponding optimal parameters in FOPFC.
| Algorithm | Related adjustable parameters | Number of adjustable parameters | Optimal parameters in FOPFC |
| GA-FOPFC | Population size NP = 30, maximum number of iterations Imax = 50, crossover probability pc = 0.8, mutation parameter b = 3 | 4 | P = 4, γ = 2.3549, λ = 0.8650 |
| PSO-FOPFC | Swarm size NP = 30, maximum number of iterations Imax = 50, acceleration factors c1 = 1.49, c2 = 1.49, limits of velocity Vmax = 2, Vmin = −2 | 6 | P = 3, γ = 0.8009, λ = 1.000 |
| PEO-FOPFC | Population size NP = 10, maximum number of iterations Imax = 50, parameter b = 3 used in MNUM operation | 3 | P = 2, γ = 0.5659, λ = 0.831 |
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