89 citations · 98 across the 6 of their papers we have counts for
6 papers
Robust model predictive control for large-scale distributed parameter systems under uncertainty
Min Tao, Ioannis Zacharopoulos, Constantinos Theodoropoulos
Control of nonlinear distributed parameter systems (DPS) under uncertainty is a meaningful task for many industrial processes. However, both intrinsic uncertainty and high dimensio…
Model reduction, machine learning based global optimisation for large-scale steady state nonlinear systems
Min Tao, Panagiotis Petsagkourakis, Jie Li +1
Many engineering processes can be accurately modelled using partial differential equations (PDEs), but high dimensionality and non-convexity of the resulting systems pose limitatio…
Input-Output Stability of Barrier-Based Model Predictive Control
Panagiotis Petsagkourakis, William P. Heath, Joaquin Carrasco +1
Conditions for input-output stability of barrier-based model predictive control of linear systems with linear and convex nonlinear (hard or soft) constraints are established throug…
Stability Analysis of Piecewise Affine Systems with Multi-model Model Predictive Control
Panagiotis Petsagkourakis, William P. Heath, Constantinos Theodoropoulos
Constrained model predictive control (MPC) is a widely used control strategy, which employs moving horizon-based on-line optimisation to compute the optimum path of the manipulated…
Equation-Free Multiscale Computation: enabling microscopic simulators to perform system-level tasks
Ioannis G. Kevrekidis, C. William Gear, James M. Hyman +3
We present and discuss a framework for computer-aided multiscale analysis, which enables models at a "fine" (microscopic/stochastic) level of description to perform modeling tasks…
Coarse Bifurcation Studies of Bubble Flow Microscopic Simulations
C. Theodoropoulos, K. Sankaranarayanan, S. Sundaresan +1
The parametric behavior of regular periodic arrays of rising bubbles is investigated with the aid of 2-dimensional BGK Lattice-Boltzmann (LB) simulators. The Recursive Projection M…