Searched for: +
(1 - 20 of 30)

Pages

document
Azamy, Parwiz (author)
master thesis 2023
document
Lv, Maolong (author), De Schutter, B.H.K. (author), Wang, Ying (author), Shen, Di (author)
This article attempts to realize zero-error constrained tracking for hypersonic flight vehicles (HFVs) subject to unknown control directions and asymmetric flight state constraints. The main challenges of reaching such goals consist in that addressing multiple unknown control directions requires novel conditional inequalities encompassing the...
journal article 2023
document
Zhou, Xiaochuan (author), Ganeshpure, D.A. (author), Soeiro, Thiago B. (author), Ghaffarian Niasar, M. (author), Wu, Y. (author), Vaessen, P.T.M. (author)
In order to damp the resonance in the MMC-based Arbitrary Wave shape Generator (AWG) used for high voltage testing, an active damping control methodology is proposed in this paper instead of the passive damping with an arm resistor. It is vital to ensure the system’s stability when such an active damping closed loop control is implemented....
conference paper 2023
document
Pérez-Dattari, Rodrigo (author), Kober, J. (author)
Learning from humans allows nonexperts to program robots with ease, lowering the resources required to build complex robotic solutions. Nevertheless, such data-driven approaches often lack the ability to provide guarantees regarding their learned behaviors, which is critical for avoiding failures and/or accidents. In this work, we focus on...
journal article 2023
document
Sabbaqi, M. (author), Isufi, E. (author)
Devising and analysing learning models for spatiotemporal network data is of importance for tasks including forecasting, anomaly detection, and multi-agent coordination, among others. Graph Convolutional Neural Networks (GCNNs) are an established approach to learn from time-invariant network data. The graph convolution operation offers a...
journal article 2023
document
Jafarian, M. (author), Mamduhi, Mohammad H. (author), Johansson, Karl H. (author)
This article studies stochastic relative phase stability, i.e., stochastic phase-cohesiveness, of discrete-time phase-coupled oscillators. Stochastic phase-cohesiveness in two types of networks is studied. First, we consider oscillators coupled with 2π -periodic odd functions over underlying undirected graphs subject to both multiplicative...
journal article 2023
document
Diederen, Carolien (author)
The objective of this master thesis is to investigate experimentally how non-breaking wave loading affects the stability of the MOSES artificial reefs, an artificial reef by the company ReefSystems. Small scale wave flume tests with a length scale factor of 20 were conducted in the Scheldt flume at Deltares in Delft to determine the stability of...
master thesis 2022
document
Bloemers, Tom (author), Oomen, T.A.E. (author), Toth, Roland (author)
The linear parameter-varying framework enables systematic control design approaches to meet increasing performance requirements and complexity of systems. The aim of this paper is to develop local frequency response data-based analysis and synthesis conditions for multiple-input multiple-output linear parameter-varying systems to facilitate...
journal article 2022
document
Peruffo, A. (author), Mazo, M. (author)
We employ the scenario approach to compute probably approximately correct (PAC) bounds on the average inter-sample time (AIST) generated by an unknown PETC system, based on a finite number of samples. We extend the scenario optimisation to multiclass SVM algorithms in order to construct a PAC map between the concrete state-space and the inter...
journal article 2022
document
Liu, Di (author), Besselink, Bart (author), Baldi, S. (author), Yu, Wenwu (author), Trentelman, Harry L. (author)
Despite the progress in the field of longitudinal formations of automated vehicles, only recently an interpretation of longitudinal platooning has been given in the framework of disturbance decoupling, i.e. the problem of making a controlled output independent of a disturbance. The appealing feature of this interpretation is that the...
journal article 2022
document
Tao, T. (author), Roy, S. (author), Baldi, S. (author)
This work introduces a new single-stage adaptive controller for Euler-Lagrange systems with nonholonomic constraints. The proposed mechanism provides a simpler design philosophy compared to double-stage mechanisms (that address kinematics and dynamics in two steps), while achieving analogous stability properties, i.e. stability of both original...
conference paper 2022
document
Lavaei, Abolfazl (author), Mohajerin Esfahani, P. (author), Zamani, Majid (author)
In this work, we propose a data-driven approach for the stability analysis of discrete-time homogeneous nonlinear systems with unknown models. The proposed framework is based on constructing Lyapunov functions via a set of data, collected from trajectories of unknown systems, while providing an a-priori guaranteed confidence on the stability of...
conference paper 2022
document
Anil Meera, A. (author), Wisse, M. (author)
The free energy principle (FEP) from neuroscience provides a framework called active inference for the joint estimation and control of state space systems, subjected to colored noise. However, the active inference community has been challenged with the critical task of manually tuning the noise smoothness parameter. To solve this problem, we...
conference paper 2022
document
Gonzalez Silva, J. (author), Ferrari, Riccardo M.G. (author), van Wingerden, J.W. (author)
Wind turbine (WT) controllers are often geared towards maximum power extraction, while suitable operating constraints should be guaranteed such that WT components are protected from failures. Control strategies can be also devised to reduce the generated power, for instance to track a power reference provided by the grid operator. They are...
conference paper 2022
document
Andrew, Philippa Kate (author), Raudsepp, Allan (author), Nock, Volker (author), Fan, D. (author), Williams, Martin A.K. (author), Staufer, U. (author), Avci, Ebubekir (author)
Optical micromachines have the potential to improve the capabilities of optical tweezers by amplifying forces and allowing for indirect handling and probing of specimens. However, systematic design and testing of micromachine performance is still an emerging field. In this work we have designed and tested an unsupported microlever, suitable for...
conference paper 2022
document
Zhang, Q. (author), Pan, W. (author), Reppa, V. (author)
This paper presents a novel model-reference reinforcement learning algorithm for the intelligent tracking control of uncertain autonomous surface vehicles with collision avoidance. The proposed control algorithm combines a conventional control method with reinforcement learning to enhance control accuracy and intelligence. In the proposed...
journal article 2021
document
Delimpaltadakis, Giannis (author), Mazo, M. (author)
In this work, we derive a region-based self-triggered control (STC) scheme for nonlinear systems with bounded disturbances and model uncertainties. The proposed STC scheme is able to guarantee different performance specifications (e.g. stability, boundedness, etc.), depending on the event-triggered control (ETC) triggering function that is...
journal article 2021
document
Gravell, Benjamin (author), Mohajerin Esfahani, P. (author), Summers, Tyler H. (author)
The linear quadratic regulator (LQR) problem has reemerged as an important theoretical benchmark for reinforcement learning-based control of complex dynamical systems with continuous state and action spaces. In contrast with nearly all recent work in this area, we consider multiplicative noise models, which are increasingly relevant because...
journal article 2021
document
Delimpaltadakis, Giannis (author), Mazo, M. (author)
In this article, we propose a region-based self-triggered control (STC) scheme for nonlinear systems. The state space is partitioned into a finite number of regions, each of which is associated to a uniform interevent time. The controller, at each sampling time instant, checks to which region does the current state belong, and correspondingly...
journal article 2021
document
Roose, Thomas (author), Lekić, A. (author), Alam, Mohammad Meraj (author), Beerten, Jef (author)
This paper analyzes high-frequency interactions between a Modular Multilevel Converter (MMC) and High Voltage Direct Current (HVDC) grid resonances by studying their effect on the system stability. The recent appearance of converter-related instabilities due to high-frequency oscillations at the converter's ac side raises concerns about whether...
journal article 2020
Searched for: +
(1 - 20 of 30)

Pages