activity
20182025
collaborators

6 papers

math.OC2025

Singular Arcs in Optimal Control: Closed-loop Implementations without Workarounds

Nikilesh Ramesh, Ross Drummond, Pablo Rodolfo Baldivieso Monasterios +1

Singular arcs emerge in the solutions of Optimal Control Problems (OCPs) when the optimal inputs on some finite time intervals cannot be directly obtained via the optimality condit…

math.OC2024

A Coalitional Game for Demand-Side Management in a Low-Voltage Resistive Micro-Grid with Multiple Electricity Retailers

Fernando Genis Mendoza, Pablo R Baldivieso Monasterios, Dario Bauso +1

An existing challenge in power systems is the implementation of optimal demand management through dynamic pricing. This paper encompasses the design, analysis and implementation of…

eess.SY2021

The energy revolution: cyber physical advances and opportunities for smart local energy systems

Nandor Verba, Elena Gaura, Stephen McArthur +7

We have designed a two-stage, 10-step process to give organisations a method to analyse small local energy systems (SLES) projects based on their Cyber Physical System components i…

eess.SY2021

Incorporating forecasting and peer-to-peer negotiation frameworks into a distributed model predictive control approach for meshed electric networks

Pablo R. Baldivieso Monasterios, Nandor Verba, Euan A Morris +5

Continuous integration of renewable energy sources into power networks is causing a paradigm shift in energy generation and distribution with regards to trading and control; the in…

eess.SY2020

Coalitional predictive control: consensus-based coalition forming with robust regulation

Pablo R Baldivieso-Monasterios, Paul A Trodden

This paper is concerned with the problem of controlling a system of constrained dynamic subsystems in a way that balances the performance degradation of decentralized control with…

eess.SY2018

Model predictive control of linear systems with preview information: feasibility, stability and inherent robustness

Pablo R Baldivieso-Monasterios, Paul A. Trodden

The use of available disturbance predictions within a nominal model predictive control formulation is studied. The main challenge that arises is the loss of recursive feasibility a…