Consensus Based Distributed Sparse Bayesian Learning By Fast Marginal Likelihood Maximization

For swarm systems, distributed processing is of paramount importance, and Bayesian methods are preferred for their robustness. Existing distributed sparse Bayesian learn- ing (SBL) methods rely on the automatic relevance deter- mination (ARD), which involves a computationally complex reweighted l1-norm optimization, or they use loopy belief...

Computational Strategies for Model Predictive Control on Switching Max-plus Linear Systems

A switching max-plus linear model is a framework to describe the discrete dynamics of the timing of events. To influence these systems one can choose the routes of jobs and the orderings of operations as input for the system. In this thesis the techniques of model predictive control are used to find good input values. The problem of finding the...

Inexact distributed optimization schemes: A convergence analysis using monotone operator theory

Distributed optimization has been an <br/>extensively studied field for years. Recent developments in the area of sensors makes it possible to create networks consisting of a large number of nodes. The focus of this thesis will be optimizing distributed problems over a decentralized network. These distributed optimization schemes operate in an...

Towards Decentralized Grids: EnergyBazaar: decentralized free-market energy-trade within an isolated community micro-grid

<br/>We witness the rise of prosumers: consumers that produce a surplus of energy that can be sup- plied back into the grid. However, for energy-trade between prosumers and consumers, a cen- tralized and undesirable middle-man is still necessary. We developed a method to decentralize essential aspects of energy distribution between households....

Distributed Approach for Aerodynamic Model Identification of the ICE Aircraft

High performance control allocation methods for the Innovative Control Effectors (ICE) aircraft require accurate onboard aerodynamic models, with preferably first order continuity. Simplotope B-Splines, an extension on Simplex B-Splines, have a high approximation power by using local basis functions. However, enforcing global continuity produces...

Model Predictive Control Architecture Comparison for a Power Scheduling Electric Vehicle Aggregator

Energy flexibility is the ability to change power production or consumption over time. It is required for a power system to function properly, to balance supply and demand. Currently, the largest providers of energy flexibility in the Netherlands can be found on the supply side and consist mainly out of fossil fueled power plants. As these are...

Distributed Wavefront Reconstruction for Adaptive Optics Systems

We are currently facing an increasing amount of challenges in the area of photonics as more and more applications in need for active “photon control” sprout in different fields of science. Adaptive Optics (AO) is the subject which deals with measuring, reconstructing, and reshaping the phase of a photon wavefront in real-time and can, thus,...

Distributed Estimation and Control for Robotic Networks

Mobile robots that communicate and cooperate to achieve a common task have been the subject of an increasing research interest in recent years. These possibly heterogeneous groups of robots communicate locally via a communication network and therefore are usually referred to as robotic networks. Their potential applications are diverse and...