We extend a recent methodology called multi-parametric NCO-tracking for the design of parametric controllers for continuous-time linear dynamic systems in the presence of uncertainty The approach involves backing-off the path and terminal state constraints based on a worst-case uncertainty propagation determined using either interval analysis or ellipsoidal calculus. We address the case of additive uncertainty and we discuss approaches to handling multiplicative uncertainty that retain tractability of the mp-NCO-tracking design problem, subject to extra conservatism. These developments are illustrated with the case study of a fluidized catalytic cracking (FCC) unit operated in partial combustion mode
We propose a simple and computationally efficient approach for designing a robust Model Predictive C...
A robust tube-based Model Predictive Control (MPC) strategy is proposed for linear systems with mult...
Most practical control problems are dominated by constraints. Although a rich theory has been develo...
This paper presents an extension of the recent multi-parametric (mp-)NCO-tracking methodology by Sun...
Process optimization for industrial applications aims to achieve performance enhancements while sati...
AbstractA methodology for combining multi-parametric programming and NCO tracking is presented in th...
© 2016 The Authors.A methodology for combining multi-parametric programming and NCO tracking is pres...
Two approaches to control system design for constrained systems are studied. The first involves theo...
This thesis presents two design methods for multiple robust controllers (MRC) and a design method fo...
The primary disadvantage of current design techniques for model predictive control (MPC) is their in...
Model Predictive Control (MPC) is frequently implemented as one of the layers of a control structure...
A new method for the design of predictive controllers for SISO systems is presented. The proposed te...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, February ...
This work addresses the solution to the problem of robust model predictive control (MPC) of systems ...
We propose a novel approach to design a robust Model Predictive Controller (MPC) for constrained unc...
We propose a simple and computationally efficient approach for designing a robust Model Predictive C...
A robust tube-based Model Predictive Control (MPC) strategy is proposed for linear systems with mult...
Most practical control problems are dominated by constraints. Although a rich theory has been develo...
This paper presents an extension of the recent multi-parametric (mp-)NCO-tracking methodology by Sun...
Process optimization for industrial applications aims to achieve performance enhancements while sati...
AbstractA methodology for combining multi-parametric programming and NCO tracking is presented in th...
© 2016 The Authors.A methodology for combining multi-parametric programming and NCO tracking is pres...
Two approaches to control system design for constrained systems are studied. The first involves theo...
This thesis presents two design methods for multiple robust controllers (MRC) and a design method fo...
The primary disadvantage of current design techniques for model predictive control (MPC) is their in...
Model Predictive Control (MPC) is frequently implemented as one of the layers of a control structure...
A new method for the design of predictive controllers for SISO systems is presented. The proposed te...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, February ...
This work addresses the solution to the problem of robust model predictive control (MPC) of systems ...
We propose a novel approach to design a robust Model Predictive Controller (MPC) for constrained unc...
We propose a simple and computationally efficient approach for designing a robust Model Predictive C...
A robust tube-based Model Predictive Control (MPC) strategy is proposed for linear systems with mult...
Most practical control problems are dominated by constraints. Although a rich theory has been develo...