354 research outputs found
Analysis and design of quadratic parameter varying (QPV) control systems with polytopic attractive region
© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/This paper proposes a gain-scheduling approach for systems with a quadratic structure. Both the stability analysis and the state-feedback controller design problems are considered for quadratic parameter varying (QPV) systems. The developed approach assesses/enforces the belonging of a polytopic region of the state space to the region of attraction of the origin, and relies on a linear matrix inequality (LMI) feasibility problem. The main characteristics of the proposed approach are illustrated by means of examples, which confirm the validity of the theoretical results.Peer ReviewedPostprint (author's final draft
Fault tolerant control of uncertain dynamical systems using interval virtual actuators
This is the peer reviewed version of the following article: Rotondo D, Cristofaro A, Johansen TA. Fault tolerant control of uncertain dynamical systems using interval virtual actuators. Int J Robust Nonlinear Control. 2018;28:611–624, which has been published in final form at https://doi.org/10.1002/rnc.3888. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.In this paper, a model reference fault tolerant control strategy based on a reconfiguration of the reference model, with the addition of a virtual actuator block, is presented for uncertain systems affected by disturbances and sensor noise. In particular, this paper (1) extends the reference model approach to the use of interval state observers, by considering an error feedback controller, which uses the estimated bounds for the error between the real state and the reference state, and (2) extends the virtual actuator approach to the use of interval observers, which means that the virtual actuator is added to the control loop to preserve the nonnegativity of the interval estimation errors and the boundedness of the involved signals, in spite of the fault occurrence. In both cases, the conditions to assure the desired operation of the control loop are provided in terms of linear matrix inequalities. An illustrative example is used to show the main characteristics of the proposed approach.Peer ReviewedPostprint (author's final draft
Fault tolerant control of uncertain dynamical systems using interval virtual actuators
This is the peer reviewed version of the following article: Rotondo D, Cristofaro A, Johansen TA. Fault tolerant control of uncertain dynamical systems using interval virtual actuators. Int J Robust Nonlinear Control. 2018;28:611–624, which has been published in final form at https://doi.org/10.1002/rnc.3888. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.In this paper, a model reference fault tolerant control strategy based on a reconfiguration of the reference model, with the addition of a virtual actuator block, is presented for uncertain systems affected by disturbances and sensor noise. In particular, this paper (1) extends the reference model approach to the use of interval state observers, by considering an error feedback controller, which uses the estimated bounds for the error between the real state and the reference state, and (2) extends the virtual actuator approach to the use of interval observers, which means that the virtual actuator is added to the control loop to preserve the nonnegativity of the interval estimation errors and the boundedness of the involved signals, in spite of the fault occurrence. In both cases, the conditions to assure the desired operation of the control loop are provided in terms of linear matrix inequalities. An illustrative example is used to show the main characteristics of the proposed approach.Peer ReviewedPostprint (author's final draft
Diagnosis of Wing Icing Through Lift and Drag Coefficient Change Detection for Small Unmanned Aircraft
This paper address the issue of structural change, caused by ice accretion, on
UAVs by utilising a Neyman Pearson (NP) based statistical change detection approach, for
the identi cation of structural changes of xed wing UAV airfoils. A structural analysis is
performed on the nonlinear aircraft system and residuals are generated, where a generalised
likelihood ratio test is applied to detect faults. Numerical simulations demonstrate a robust
detection with adequate balance between false alarm rate and sensitivity.© 2015 Published by Elsevier Ltd. This is the authors' accepted and refereed manuscript to the article. Locked until 2017-01-01
Case study of combined marine- and land-based passive seismic surveying in front of Nordenskiöldbreen outlet glacier, Adolfbukta, Svalbard
Glaciers generate seismic waves due to calving and fracturing, meaning that
recording and following event classification can be used to monitor glacier
dynamics. Our aim with this study is to analyse seismic data acquired at the
seabed and on land in front of Nordenskiöldbreen on Svalbard during 8 days in
October 2020. The survey included 27 ocean bottom nodes, each equipped with
3 geophones and a hydrophone, and 101 land-based geophones. The resulting data contain numerous seismic P-, S- and Scholte wave events throughout
the study period, as well as non-seismic gravity waves. The recording quality
strongly depends on receiver type and location, especially for the latter wave
types. Our results demonstrate that hydrophones at the seabed are advantageous to record gravity waves, and that Scholte waves are only recorded close
to the glacier. The Scholte waves are used to estimate the near-surface S-wave
profile of the seabed sediments, and the gravity wave amplitudes are converted
to wave heights at the surface. We further discuss possible source mechanisms
for the recorded events and present evidence that waves from earthquakes,
calving and brittle fracturing of the glacier and icebergs are all represented in the
data. The interpretation is based on frequency content, duration, seismic velocities and onset (emergent/impulsive) and is supported by source localization,
which we show is challenging for this dataset. In conclusion, our study demonstrates the potential of using seismic observations for detecting glacier-related
events and provides valuable knowledge about the importance of survey geometry, particularly the advantages of including seabed receivers in the vicinity of
the glacier
On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern
This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Internet Technology, https://doi.org/10.1145/3528669.The transaction-rate bottleneck built into popular proof-of-work-based cryptocurrencies, like Bitcoin and Ethereum, leads to fee markets where transactions are included according to a first-price auction for block space. Many attempts have been made to adjust and predict the fee volatility, but even well-formed transactions sometimes experience unexpected delays and evictions unless a substantial fee is offered. In this paper, we propose a novel transaction inclusion model that describes the mechanisms and patterns governing miners decisions to include individual transactions in the Bitcoin system. Using this model we devise a Machine Learning (ML) approach to predict transaction inclusion. We evaluate our predictions method using historical observations of the Bitcoin network from a five month period that includes more than 30 million transactions and 120 million entries. We find that our Machine Learning (ML) model can predict fee volatility with an accuracy of up to 91%. Our findings enable Bitcoin users to improve their fee expenses and the approval time for their transactions
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