Optimising the Decentralisation of Periodic Event-Triggered Control

Controlling the estimation bias in deep reinforcement learning problems with sparse rewards: Towards robust robotic object manipulation learning

Scalable magnetic field modeling using structured kernel interpolation for Gaussian process regression

Freeway Traffic Control - An adaptive control approach towards easy-to-implement Variable Speed Limit algorithms

Assessing meditation through electroencephalographic data: a dynamical systems approach

Dynamic Programming based basicity control of an experimental smelting furnace prototype

Forecasting Mortgage Prepayments in Changing Interest Rate Regimes: A Hybrid Economic-Engineering Model with EMPC

A real-time optimal control approach to autonomous drifting

Tensor decomposition for Independent Component Analysis: Through implicit cumulant tensor manipulation

Multivariable Anomaly Detection Framework for Multi-sensor Network: From rule-based to data-driven

Magnetic field SLAM: using an inertial human motion suit and reduced rank Gaussian process regression

Optimal Charging Strategies for Electric Vehicle Fleets

A distributed approach to improve inland water transportation addressing privacy and incremental improvements

Compression of the embedding layer in an LSTM model using tensor train decomposition for NLP

Graph Regularized Tensor Decomposition for Recommender Systems

Model Predictive Control on Max-min-plus-scaling Systems: Control procedure and stability conditions

A Fast Algorithm for Ill-posed Linear Inverse Problems

On the Load Impact of the Helix Approach on Offshore Wind Turbines: Quantifying and analyzing the fatigue load impact of the helix approach on offshore wind turbine components.

All-at-once optimization for kernel machines with canonical polyadic decompositions: Enabling large scale learning for kernel machines

Learning Drivers’ Preferences in Delivery Route Planning: an Inverse Optimization Approach