1.

Real-Time NMPC for Semi-Automated Highway Driving of Long Heavy Vehicle Combinations**The research leading to these results was partly funded by the People Programme (Marie Curie A...

2.

Real-Time NMPC for Semi-Automated Highway Driving of Long Heavy Vehicle Combinations**The research leading to these results was partly funded by the People Programme (Marie Curie A...

3.

Real-Time NMPC for Semi-Automated Highway Driving of Long Heavy Vehicle Combinations**The research leading to these results was partly funded by the People Programme (Marie Curie A...

4.

Real-Time NMPC for Semi-Automated Highway Driving of Long Heavy Vehicle Combinations**The research leading to these results was partly funded by the People Programme (Marie Curie A...

1.

Regulation of Differential Drive Robots using Continuous Time MPC without Stabilizing Constraints or Costs**M.W. Mehrez, G.K.I. Mann, and R.G. Gosine are supported by Natural Scien...

2.

Regulation of Differential Drive Robots using Continuous Time MPC without Stabilizing Constraints or Costs**M.W. Mehrez, G.K.I. Mann, and R.G. Gosine are supported by Natural Scien...

3.

Regulation of Differential Drive Robots using Continuous Time MPC without Stabilizing Constraints or Costs**M.W. Mehrez, G.K.I. Mann, and R.G. Gosine are supported by Natural Scien...

4.

Regulation of Differential Drive Robots using Continuous Time MPC without Stabilizing Constraints or Costs**M.W. Mehrez, G.K.I. Mann, and R.G. Gosine are supported by Natural Scien...

5.

Regulation of Differential Drive Robots using Continuous Time MPC without Stabilizing Constraints or Costs**M.W. Mehrez, G.K.I. Mann, and R.G. Gosine are supported by Natural Scien...

6.

Regulation of Differential Drive Robots using Continuous Time MPC without Stabilizing Constraints or Costs**M.W. Mehrez, G.K.I. Mann, and R.G. Gosine are supported by Natural Scien...

7.

Regulation of Differential Drive Robots using Continuous Time MPC without Stabilizing Constraints or Costs**M.W. Mehrez, G.K.I. Mann, and R.G. Gosine are supported by Natural Scien...

1.

A Combined Global and Local Identification Approach for LPV Systems**This research is sponsored by the Fund for Scientific Research (FWOVlaanderen) through project G.0002.11, by th...

2.

A Combined Global and Local Identification Approach for LPV Systems**This research is sponsored by the Fund for Scientific Research (FWOVlaanderen) through project G.0002.11, by th...

3.

A Combined Global and Local Identification Approach for LPV Systems**This research is sponsored by the Fund for Scientific Research (FWOVlaanderen) through project G.0002.11, by th...

4.

A Combined Global and Local Identification Approach for LPV Systems**This research is sponsored by the Fund for Scientific Research (FWOVlaanderen) through project G.0002.11, by th...

5.

A Combined Global and Local Identification Approach for LPV Systems**This research is sponsored by the Fund for Scientific Research (FWOVlaanderen) through project G.0002.11, by th...

6.

A Combined Global and Local Identification Approach for LPV Systems**This research is sponsored by the Fund for Scientific Research (FWOVlaanderen) through project G.0002.11, by th...

7.

A Combined Global and Local Identification Approach for LPV Systems**This research is sponsored by the Fund for Scientific Research (FWOVlaanderen) through project G.0002.11, by th...

8.

A Combined Global and Local Identification Approach for LPV Systems**This research is sponsored by the Fund for Scientific Research (FWOVlaanderen) through project G.0002.11, by th...

9.

A Combined Global and Local Identification Approach for LPV Systems**This research is sponsored by the Fund for Scientific Research (FWOVlaanderen) through project G.0002.11, by th...

1.

Challenges in the Identification of Discrete Time Block Oriented Models for Continuous Time Nonlinear Systems**This work was supported in part by the Fund for Scientific Research (...

2.

Challenges in the Identification of Discrete Time Block Oriented Models for Continuous Time Nonlinear Systems**This work was supported in part by the Fund for Scientific Research (...

3.

Challenges in the Identification of Discrete Time Block Oriented Models for Continuous Time Nonlinear Systems**This work was supported in part by the Fund for Scientific Research (...

4.

Challenges in the Identification of Discrete Time Block Oriented Models for Continuous Time Nonlinear Systems**This work was supported in part by the Fund for Scientific Research (...

5.

Challenges in the Identification of Discrete Time Block Oriented Models for Continuous Time Nonlinear Systems**This work was supported in part by the Fund for Scientific Research (...

6.

Challenges in the Identification of Discrete Time Block Oriented Models for Continuous Time Nonlinear Systems**This work was supported in part by the Fund for Scientific Research (...

7.

Challenges in the Identification of Discrete Time Block Oriented Models for Continuous Time Nonlinear Systems**This work was supported in part by the Fund for Scientific Research (...

8.

Challenges in the Identification of Discrete Time Block Oriented Models for Continuous Time Nonlinear Systems**This work was supported in part by the Fund for Scientific Research (...

9.

Challenges in the Identification of Discrete Time Block Oriented Models for Continuous Time Nonlinear Systems**This work was supported in part by the Fund for Scientific Research (...

1.

Design of Gaussian inputs for Wiener model identification**The research is supported in part by the Australian Research Council under the contract DP130103909, by the Fund for Scie...

2.

Design of Gaussian inputs for Wiener model identification**The research is supported in part by the Australian Research Council under the contract DP130103909, by the Fund for Scie...

3.

Design of Gaussian inputs for Wiener model identification**The research is supported in part by the Australian Research Council under the contract DP130103909, by the Fund for Scie...

4.

Design of Gaussian inputs for Wiener model identification**The research is supported in part by the Australian Research Council under the contract DP130103909, by the Fund for Scie...

5.

Design of Gaussian inputs for Wiener model identification**The research is supported in part by the Australian Research Council under the contract DP130103909, by the Fund for Scie...

6.

Design of Gaussian inputs for Wiener model identification**The research is supported in part by the Australian Research Council under the contract DP130103909, by the Fund for Scie...

7.

Design of Gaussian inputs for Wiener model identification**The research is supported in part by the Australian Research Council under the contract DP130103909, by the Fund for Scie...

8.

Design of Gaussian inputs for Wiener model identification**The research is supported in part by the Australian Research Council under the contract DP130103909, by the Fund for Scie...

9.

Design of Gaussian inputs for Wiener model identification**The research is supported in part by the Australian Research Council under the contract DP130103909, by the Fund for Scie...

1.

Recovering Wiener-Hammerstein nonlinear state-space models using linear algebra**This work was supported in part by the Fund for Scientific Research (FWO-Vlaanderen), by the Flemis...

2.

Recovering Wiener-Hammerstein nonlinear state-space models using linear algebra**This work was supported in part by the Fund for Scientific Research (FWO-Vlaanderen), by the Flemis...

3.

Recovering Wiener-Hammerstein nonlinear state-space models using linear algebra**This work was supported in part by the Fund for Scientific Research (FWO-Vlaanderen), by the Flemis...

4.

Recovering Wiener-Hammerstein nonlinear state-space models using linear algebra**This work was supported in part by the Fund for Scientific Research (FWO-Vlaanderen), by the Flemis...

5.

Recovering Wiener-Hammerstein nonlinear state-space models using linear algebra**This work was supported in part by the Fund for Scientific Research (FWO-Vlaanderen), by the Flemis...

6.

Recovering Wiener-Hammerstein nonlinear state-space models using linear algebra**This work was supported in part by the Fund for Scientific Research (FWO-Vlaanderen), by the Flemis...

7.

Recovering Wiener-Hammerstein nonlinear state-space models using linear algebra**This work was supported in part by the Fund for Scientific Research (FWO-Vlaanderen), by the Flemis...

8.

Recovering Wiener-Hammerstein nonlinear state-space models using linear algebra**This work was supported in part by the Fund for Scientific Research (FWO-Vlaanderen), by the Flemis...

9.

Recovering Wiener-Hammerstein nonlinear state-space models using linear algebra**This work was supported in part by the Fund for Scientific Research (FWO-Vlaanderen), by the Flemis...

1.

Improving the PM10 estimates of the air quality model AURORA by using Optimal Interpolation**This work was supported by: • Research Council KUL: CoE PFV/10/002 (OPTEC), PhD/Postdoc...

2.

Improving the PM10 estimates of the air quality model AURORA by using Optimal Interpolation**This work was supported by: • Research Council KUL: CoE PFV/10/002 (OPTEC), PhD/Postdoc...

3.

Improving the PM10 estimates of the air quality model AURORA by using Optimal Interpolation**This work was supported by: • Research Council KUL: CoE PFV/10/002 (OPTEC), PhD/Postdoc...

4.

Improving the PM10 estimates of the air quality model AURORA by using Optimal Interpolation**This work was supported by: • Research Council KUL: CoE PFV/10/002 (OPTEC), PhD/Postdoc...

5.

Improving the PM10 estimates of the air quality model AURORA by using Optimal Interpolation**This work was supported by: • Research Council KUL: CoE PFV/10/002 (OPTEC), PhD/Postdoc...

6.

Improving the PM10 estimates of the air quality model AURORA by using Optimal Interpolation**This work was supported by: • Research Council KUL: CoE PFV/10/002 (OPTEC), PhD/Postdoc...

7.

Improving the PM10 estimates of the air quality model AURORA by using Optimal Interpolation**This work was supported by: • Research Council KUL: CoE PFV/10/002 (OPTEC), PhD/Postdoc...

1.

Benchmark Data on a Linear Time- and Parameter-varying system**This work is sponsored by the Research Foundation Flanders (FWOVlaanderen), the Flemisch Government (Methusalem Fund,...

2.

Benchmark Data on a Linear Time- and Parameter-varying system**This work is sponsored by the Research Foundation Flanders (FWOVlaanderen), the Flemisch Government (Methusalem Fund,...

3.

Benchmark Data on a Linear Time- and Parameter-varying system**This work is sponsored by the Research Foundation Flanders (FWOVlaanderen), the Flemisch Government (Methusalem Fund,...

4.

Benchmark Data on a Linear Time- and Parameter-varying system**This work is sponsored by the Research Foundation Flanders (FWOVlaanderen), the Flemisch Government (Methusalem Fund,...

5.

Benchmark Data on a Linear Time- and Parameter-varying system**This work is sponsored by the Research Foundation Flanders (FWOVlaanderen), the Flemisch Government (Methusalem Fund,...

6.

Benchmark Data on a Linear Time- and Parameter-varying system**This work is sponsored by the Research Foundation Flanders (FWOVlaanderen), the Flemisch Government (Methusalem Fund,...

7.

Benchmark Data on a Linear Time- and Parameter-varying system**This work is sponsored by the Research Foundation Flanders (FWOVlaanderen), the Flemisch Government (Methusalem Fund,...

1.

Model-Based Decision Support Algorithm to Guide Fluid Resuscitation**This work was supported by the French Community of Belgium, the Belgian Funds for Scientific Research (F.R.S.-F...

2.

Model-Based Decision Support Algorithm to Guide Fluid Resuscitation**This work was supported by the French Community of Belgium, the Belgian Funds for Scientific Research (F.R.S.-F...

3.

Model-Based Decision Support Algorithm to Guide Fluid Resuscitation**This work was supported by the French Community of Belgium, the Belgian Funds for Scientific Research (F.R.S.-F...

4.

Model-Based Decision Support Algorithm to Guide Fluid Resuscitation**This work was supported by the French Community of Belgium, the Belgian Funds for Scientific Research (F.R.S.-F...

5.

Model-Based Decision Support Algorithm to Guide Fluid Resuscitation**This work was supported by the French Community of Belgium, the Belgian Funds for Scientific Research (F.R.S.-F...

6.

Model-Based Decision Support Algorithm to Guide Fluid Resuscitation**This work was supported by the French Community of Belgium, the Belgian Funds for Scientific Research (F.R.S.-F...

7.

Model-Based Decision Support Algorithm to Guide Fluid Resuscitation**This work was supported by the French Community of Belgium, the Belgian Funds for Scientific Research (F.R.S.-F...

1.

Plant Growth Modelling:From Experimental Design to Modelling-TheArabidopsis Experiment**This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Contro...

2.

Plant Growth Modelling:From Experimental Design to Modelling-TheArabidopsis Experiment**This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Contro...

3.

Plant Growth Modelling:From Experimental Design to Modelling-TheArabidopsis Experiment**This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Contro...

4.

Plant Growth Modelling:From Experimental Design to Modelling-TheArabidopsis Experiment**This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Contro...