Name
Abstract | ||
|---|---|---|
•An integrated biomimetic control approach is introduced for advanced energy systems.•In this approach, BIO-CS is employed to generate the baseline control laws.•A neural network-based adaptive component is integrated into the BIO–CS framework.•The integrated approach is illustrated via an IGCC process with carbon capture. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compchemeng.2018.07.002 | Computers & Chemical Engineering |
Keywords | Field | DocType |
Biomimetic control,Adaptive control,Artificial neural network,Advanced energy systems | Control theory,Optimal control,Multivariable calculus,Integrated gasification combined cycle,Setpoint,Control engineering,Adaptive control,Artificial neural network,Mathematics,Tracking error | Journal |
Volume | ISSN | Citations |
117 | 0098-1354 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gaurav Mirlekar | 1 | 1 | 0.75 |
| Ghassan Al-Sinbol | 2 | 0 | 0.34 |
| Mario G. Perhinschi | 3 | 40 | 8.06 |
| Fernando V. Lima | 4 | 1 | 2.10 |