Searched for: subject%3A%22distributed%255C%2Boptimization%22
(1 - 20 of 27)

Pages

document
Li, Qiongxiu (author), Heusdens, R. (author), Christensen, M.T. (author)
Privacy issues and communication cost are both major concerns in distributed optimization in networks. There is often a trade-off between them because the encryption methods used for privacy-preservation often require expensive communication overhead. To address these issues, we, in this paper, propose a quantization-based approach to achieve...
journal article 2022
document
Yue, D. (author), Baldi, S. (author), Cao, Jinde (author), De Schutter, B.H.K. (author)
This article addresses the continuous-time distributed optimization of a strictly convex summation-separable cost function with possibly nonconvex local functions over strongly connected digraphs. Distributed optimization methods in the literature require convexity of local functions, or balanced weights, or vanishing step sizes, or algebraic...
journal article 2022
document
Bosland, Liam (author)
A common problem in robotics is the simultaneous localization and mapping (SLAM) problem. Here, a robot needs to create a map of its surroundings while simultaneously localizing itself in this map. An unknown environment is assumed. Traditionally, it has been approached through filtering solutions. This paradigm has shifted to pose graph...
master thesis 2021
document
van Leeuwen, C.J. (author)
In this thesis I research the ability of groups of agents to organize their collective behavior, without any human intervention. Using a framework for gathering information of the behavior, analyzing the performance, and updating the behavior, the agents can adapt to changing environments or user requirements. In my thesis I use different...
doctoral thesis 2021
document
Zeng, Yikai (author)
Truck platooning refers to coordinating a group of heavy-duty vehicles at a close inter-vehicle distance to reduce overall fuel consumption. This coordination between trucks is traditionally achieved by adjusting the schedule, velocity, and routines to increase the platooning chances, and thus improve the overall fuel efficiency. However, the...
master thesis 2020
document
Manss, C. (author), Shutin, Dmitriy (author), Leus, G.J.T. (author)
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...
journal article 2020
document
Vos, Daniƫl (author)
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...
master thesis 2019
document
Zheng, Z. (author)
With the rising demands from customers and users and the development of ever advanced technologies, many space missions nowadays require more than one satellite to fulfill their mission objectives. Although replacing single satellite systems (SSSs) by multiple satellite systems (MSSs) offers advantages, such as enhanced spatial and temporal...
doctoral thesis 2019
document
Sherson, T.W. (author), Heusdens, R. (author), Kleijn, W.B. (author)
In this paper, we present a novel derivation of an existing algorithm for distributed optimization termed the primal-dual method of multipliers (PDMM). In contrast to its initial derivation, monotone operator theory is used to connect PDMM with other first-order methods such as Douglas-Rachford splitting and the alternating direction method...
journal article 2019
document
van Dam, Floris (author)
In recent years there has been an increasing interest in formation flying with many lightweight spacecraft, as satellite missions can potentially become cheaper and more flexible. An example of such mission is the Silicon Wafer Integrated Femtosatellites mission, consisting of 100 to 1000 spacecraft with a mass of 0.1 kg. Due to modest control...
master thesis 2019
document
Yildirim, Kasim Sinan (author), Carli, Ruggero (author), Schenato, Luca (author)
Wireless power transfer networks (WPTNs) are composed of dedicated energy transmitters (ETs) that charge energy receivers (ERs) via radio frequency waves. A safe-charging WPTN should keep electromagnetic radiation below predetermined limits meanwhile maximizing the transmitted power. In this paper, we consider this requirement as an...
journal article 2019
document
Su, Z. (author), Jamshidi, A. (author), Nunez, Alfredo (author), Baldi, S. (author), De Schutter, B.H.K. (author)
We develop a multi-level decision making approach for optimal condition-based maintenance planning of a railway network divided into a large number of sections with independent stochastic deterioration dynamics. At higher level, a chance-constrained Model Predictive Control (MPC) controller determines the long-term section-wise maintenance...
journal article 2019
document
van Wijngaarden, Niels (author)
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...
master thesis 2018
document
van den Biggelaar, Dirk (author)
<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....
master thesis 2018
document
van den Aarssen, Marc (author)
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...
master thesis 2018
document
Muhammad Faris, Muhammad (author)
An essential component of railway infrastructures is track ballast. As railway track is used frequently by passing rolling stocks, its performance degrades over time. At certain degradation levels, maintenance interventions must be carried out to improve the track performance so to meet technical and safety regulations. In this way, the risk of...
master thesis 2018
document
Luan, X. (author), De Schutter, B.H.K. (author), van den Boom, A.J.J. (author), Corman, F. (author), Lodewijks, G. (author)
We introduce a distributed optimization method for improving the computational efficiency of real-time traffic management approaches for large-scale railway networks. We first decompose the whole network into a pre-defined number of regions by using an integer linear optimization approach. For each resulting region, a mixed-integer linear...
journal article 2018
document
Faris, Muhammad (author), Nunez, Alfredo (author), Su, Z. (author), De Schutter, B.H.K. (author)
In this paper, distributed optimization approaches are developed for the planning of maintenance operations of large-scale railway infrastructure formulated as a Mixed-Integer Linear Programming (MILP) problem. The proposed planning problem is solved using three different distributed optimization schemes: Parallel Augmented Lagrangian...
conference paper 2018
document
Karambelkar, Sahil (author)
Rise in distributed energy resources has prompted a shift in the way electricity market operators function. Traditionally, centralized optimization techniques are used by such operators to plan for economic dispatches of power tominimize the overall operational costs and increase system social welfare. Due to the dispersed nature of renewable...
master thesis 2017
document
Kaas, Bart (author)
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...
master thesis 2017
Searched for: subject%3A%22distributed%255C%2Boptimization%22
(1 - 20 of 27)

Pages