362 citations · 427 across the 10 of their papers we have counts for
10 papers
Uncovering Drivers of EU Carbon Futures with Bayesian Networks
Jan Maciejowski, Manuele Leonelli
The European Union Emissions Trading System (EU ETS) is a key policy tool for reducing greenhouse gas emissions and advancing toward a net-zero economy. Under this scheme, tradeabl…
Moving Horizon Estimation for ARMAX process with t-Distribution Noise
Dexiang Zhou, Keck Voon Ling, Weng Khuen Ho +1
In this paper, instead of the usual Gaussian noise assumption, -distribution noise is assumed. A Maximum Likelihood Estimator using the most recent N measurements is proposed fo…
Sequential Monte Carlo Optimisation for Air Traffic Management
A. J. Eele, J. M. Maciejowski
This report shows that significant reduction in fuel use could be achieved by the adoption of `free flight' type of trajectories in the Terminal Manoeuvring Area (TMA) of an airpor…
On Particle Methods for Parameter Estimation in State-Space Models
Nikolas Kantas, Arnaud Doucet, Sumeetpal S. Singh +2
Nonlinear non-Gaussian state-space models are ubiquitous in statistics, econometrics, information engineering and signal processing. Particle methods, also known as Sequential Mont…
Designing MPC controllers by reverse-engineering existing LTI controllers
Edward N. Hartley, Jan M. Maciejowski
This technical report presents a method for designing a constrained output-feedback model predictive controller (MPC) that behaves in the same way as an existing baseline stabilisi…
Multiplexed Model Predictive Control
K. V. Ling, J. M. Maciejowski, A. G. Richards +1
This paper proposes a form of MPC in which the control variables are moved asynchronously. This contrasts with most MIMO control schemes, which assume that all variables are update…