1. Date of download: 9/16/2016 Copyright © ASME. All rights reserved. From: VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network J. Eng. Gas Turbines Power. 2012;135(1):012801-012801-9. doi:10.1115/1.4007541 Trade-off between particulate matter (PM) emission and nitrogen oxide (NO x ) emission with respect to the EGR rate Figure Legend:

2. Date of download: 9/16/2016 Copyright © ASME. All rights reserved. From: VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network J. Eng. Gas Turbines Power. 2012;135(1):012801-012801-9. doi:10.1115/1.4007541 Schematic diagram of the diesel engine air path Figure Legend:

3. Date of download: 9/16/2016 Copyright © ASME. All rights reserved. From: VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network J. Eng. Gas Turbines Power. 2012;135(1):012801-012801-9. doi:10.1115/1.4007541 Schematic diagram of a conventional VGT/EGR control algorithm Figure Legend:

4. Date of download: 9/16/2016 Copyright © ASME. All rights reserved. From: VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network J. Eng. Gas Turbines Power. 2012;135(1):012801-012801-9. doi:10.1115/1.4007541 VGT/EGR control algorithm based on indirect adaptive control neural network Figure Legend:

5. Date of download: 9/16/2016 Copyright © ASME. All rights reserved. From: VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network J. Eng. Gas Turbines Power. 2012;135(1):012801-012801-9. doi:10.1115/1.4007541 Input and output spaces of the neural networks (top: identifier, bottom: controller) Figure Legend:

6. Date of download: 9/16/2016 Copyright © ASME. All rights reserved. From: VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network J. Eng. Gas Turbines Power. 2012;135(1):012801-012801-9. doi:10.1115/1.4007541 Experimental apparatus for the proposed MAP and MAF control algorithm Figure Legend:

7. Date of download: 9/16/2016 Copyright © ASME. All rights reserved. From: VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network J. Eng. Gas Turbines Power. 2012;135(1):012801-012801-9. doi:10.1115/1.4007541 Function approximation performance of the MAP identifier during neural network training Figure Legend:

8. Date of download: 9/16/2016 Copyright © ASME. All rights reserved. From: VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network J. Eng. Gas Turbines Power. 2012;135(1):012801-012801-9. doi:10.1115/1.4007541 Function approximation performance of the MAF identifier during neural network training Figure Legend:

9. Date of download: 9/16/2016 Copyright © ASME. All rights reserved. From: VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network J. Eng. Gas Turbines Power. 2012;135(1):012801-012801-9. doi:10.1115/1.4007541 Target value tracking performance of the MAP and MAF control system during neural network training (APS change) Figure Legend:

10. Date of download: 9/16/2016 Copyright © ASME. All rights reserved. From: VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network J. Eng. Gas Turbines Power. 2012;135(1):012801-012801-9. doi:10.1115/1.4007541 Target value tracking performance of the MAP and MAF control system during neural network training (RPM change) Figure Legend:

11. Date of download: 9/16/2016 Copyright © ASME. All rights reserved. From: VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network J. Eng. Gas Turbines Power. 2012;135(1):012801-012801-9. doi:10.1115/1.4007541 Target value tracking performance of the MAP and MAF controller when control algorithm is switched from neural network to conventional control (switch occurs at 112 s, APS change) Figure Legend:

12. Date of download: 9/16/2016 Copyright © ASME. All rights reserved. From: VGT and EGR Control of Common-Rail Diesel Engines Using an Artificial Neural Network J. Eng. Gas Turbines Power. 2012;135(1):012801-012801-9. doi:10.1115/1.4007541 Target value tracking performance of the MAP and MAF controller when control algorithm is switched from neural network to conventional control (switch occurs at 250 s, RPM change) Figure Legend: