1 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
A Comparative Study of Distributed Feedback Optimizing Control Architectures
Risvan Dirza, Hari Prasad Varadarajan, Vegard Aas +2
This paper considers the problem of steady-state real-time optimization (RTO) of interconnected systems with a common constraint that couples several units, for example, a shared r…
ECCBO: An Inherently Safe Bayesian Optimization with Embedded Constraint Control for Real-Time Optimization
Dinesh Krishnamoorthy
This paper introduces a model-free real-time optimization (RTO) framework based on unconstrained Bayesian optimization with embedded constraint control. The main contribution lies…
Learning the cost-to-go for mixed-integer nonlinear model predictive control
Christopher A. Orrico, W. P. M. H. Heemels, Dinesh Krishnamoorthy
Application of nonlinear model predictive control (NMPC) to problems with hybrid dynamical systems, disjoint constraints, or discrete controls often results in mixed-integer formul…
On Building Myopic MPC Policies using Supervised Learning
Christopher A. Orrico, Bokan Yang, Dinesh Krishnamoorthy
The application of supervised learning techniques in combination with model predictive control (MPC) has recently generated significant interest, particularly in the area of approx…