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- David Angeli, Rishi Amrit, James B. Rawlings
- IEEE Trans. Automat. Contr.
- 2012

- Moritz Diehl, Rishi Amrit, James B. Rawlings
- IEEE Trans. Automat. Contr.
- 2011

- Rishi Amrit, James B. Rawlings, David Angeli
- Annual Reviews in Control
- 2011

In the standard model predictive control implementation, first a steady-state optimization yields the equilibrium point with minimal economic cost. Then, the deviation from the computed best steady state is chosen as the stage cost for the dynamic regulation problem. The computed best equilibrium point may not be the global minimum of the economic cost, and… (More)

- David Angeli, Rishi Amrit, James B. Rawlings
- CDC
- 2009

- Rishi Amrit, James B. Rawlings, Lorenz T. Biegler
- Computers & Chemical Engineering
- 2013

- Matthias Albrecht Müller, David Angeli, Frank Allgöwer, Rishi Amrit, James B. Rawlings
- Automatica
- 2014

- Rishi Amrit, Prabirkumar Saha
- Bioprocess and biosystems engineering
- 2007

Bioreactor systems involve complex biochemical reactions, which make the systems highly non-linear in nature. Developing model based controllers for such processes require mathematical representations, which are simple, yet capable of capturing the non-linear process characteristics. Continuous bioreactor falls under the class of non-linear systems that… (More)

- David Angeli, Rishi Amrit, James B. Rawlings
- CDC-ECE
- 2011

This papers proposes new ways to enforce convergence to equilibria for Economic Model Predictive Control schemes. Economic Model Predictive Control is a control technique capable of optimizing an economic performance index while enforcing state and input constraints. For nonlinear systems and/or non-convex cost functionals, performance optimization may… (More)

This paper focuses on the application of a nonlinear model predictive control (MPC) method to coal-based integrated gasification combined cycle (IGCC) plants with water gas shift membrane reactors (WGS-MR) for pre-combustion capture of CO2. A systems-level nonlinear model of the integrated IGCC-MR process is introduced. The simulation results for a… (More)

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