Pairing moving horizon estimation and model predictive control via carleman approximation for output feedback control

Keyphrases

• Horizon Model 100%
• Output Feedback Control 100%
• Model Predictive Control 100%
• Carleman Approximation 100%
• Moving Horizon Estimation 100%
• State Estimate 66%
• Control Signal 33%
• Two-component 33%
• Hessian Matrix 33%
• Control Structure 33%
• Optimal Control 33%
• Dynamic Optimization 33%
• Analytical Gradients 33%
• Cost Constraint 33%
• Computational Efficiency 33%
• Analytical Expression 33%
• Nonlinear Process 33%
• Accuracy Increase 33%
• Cost Functional 33%
• Gradient Vector 33%
• Estimation Accuracy 33%
• State Information 33%
• Vector Matrix 33%

Engineering

• Output Feedback 100%
• Predictive Control Model 100%
• Feedback Control 100%
• Streamlines 50%
• Control Signal 50%
• Hessian Matrix 50%
• Optimisation Problem 50%
• Initial Condition 50%
• Nonlinear Process 50%
• Gradient Vector 50%
• Control Structure 50%
• Computational Efficiency 50%
• State Information 50%
• Process Plant 50%
• Functionals 50%
• Optimal Control 50%