12 citations · 34 across the 26 of their papers we have counts for
16 papers · 1 filter
Real-time Distributed MPC for Multiple Underwater Vehicles with Limited Communication Data-rates
Yujia Yang, Ye Wang, Chris Manzie +1
Controlling a fleet of autonomous underwater vehicles can be challenging due to low bandwidth communication between agents. This paper proposes to address this challenge by optimiz…
A Distributed Augmenting Path Approach for the Bottleneck Assignment Problem
Mitchell Khoo, Tony A. Wood, Chris Manzie +1
We develop an algorithm to solve the Bottleneck Assignment Problem (BAP) that is amenable to having computation distributed over a network of agents. This consists of exploring how…
Minimizing Pumping Energy Cost in Real-time Operations of Water Distribution Systems using Economic Model Predictive Control
Ye Wang, Kevin Too Yok, Wenyan Wu +3
Optimizing pump operations is a challenging task for real-time management of water distribution systems (WDSs). With suitable pump scheduling, pumping costs can be significantly re…
Tracking and regret bounds for online zeroth-order Euclidean and Riemannian optimisation
Alejandro I. Maass, Chris Manzie, Dragan Nesic +2
We study numerical optimisation algorithms that use zeroth-order information to minimise time-varying geodesically-convex cost functions on Riemannian manifolds. In the Euclidean s…
Exploiting Structure in the Bottleneck Assignment Problem
Mitchell Khoo, Tony A. Wood, Chris Manzie +1
An assignment problem arises when there exists a set of tasks that must be allocated to a set of agents. The bottleneck assignment problem (BAP) has the objective of minimising the…
A Greedy and Distributable Approach to the Lexicographic Bottleneck Assignment Problem with Conditions on Exactness
Mitchell Khoo, Tony A. Wood, Chris Manzie +1
Solving the Lexicographic Bottleneck Assignment Problem (LexBAP) typically relies on centralised computation with order quartic complexity. We consider the Sequential Bottleneck As…