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See detailStochastic FE analysis of brain deformation with different hyper-elastic models
Hauseux, Paul UL; Hale, Jack UL; Bordas, Stéphane UL

Scientific Conference (2016, September)

Detailed reference viewed: 235 (29 UL)
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See detailStochastic flows and an interface SDE on metric graphs
Hajri, Hatem UL; Raimond, Olivier

E-print/Working paper (2013)

Detailed reference viewed: 89 (13 UL)
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See detailStochastic flows on metric graphs
Hajri, Hatem UL; Raimond, Olivier

in Electronic Journal of Probability (2014)

Detailed reference viewed: 119 (22 UL)
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See detailStochastic flows related to Walsh Brownian motion
Hajri, Hatem UL

in Electronic Journal of Probability (2011)

Detailed reference viewed: 86 (1 UL)
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See detailA Stochastic Framework for Quantitative Analysis of Attack-Defense Trees
Jhawar, Ravi UL; Lounis, Karim UL; Mauw, Sjouke UL

in 12th International Workshop on Security and Trust Management (2016)

Detailed reference viewed: 121 (5 UL)
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See detailA stochastic Galerkin cell-based smoothed finite element method (SGCS-FEM)
Mathew, Tittu; Beex, Lars UL; Bordas, Stéphane UL et al

in International Journal of Computational Methods (in press)

In this paper, the cell based smoothed finite element method is extended to solve stochastic partial diff erential equations with uncertain input parameters. The spatial field of Young's moduli and the ... [more ▼]

In this paper, the cell based smoothed finite element method is extended to solve stochastic partial diff erential equations with uncertain input parameters. The spatial field of Young's moduli and the corresponding stochastic results are represented by Karhunen-Lo eve expansion and polynomial chaos expansion, respectively. The Young's Modulus of structure is considered to be random for stochastic static as well as free vibration problems. Mathematical expressions and the solution procedure are articulated in detail to evaluate the statistical characteristics of responses in terms of static displacements and free vibration frequencies. The feasibility and eff ectiveness of the proposed SGCS-FEM method in terms of accuracy and lower requirement on the mesh size in the solution domain over that of conventional FEM for stochastic problems are demonstrated by carefully chosen numerical examples. From the numerical study, it is inferred that the proposed framework is computationally less demanding without compromising accuracy. [less ▲]

Detailed reference viewed: 89 (0 UL)
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See detailStochastic Model Predictive Control for Eco-Driving Assistance Systems in Electric Vehicles
Sajadi Alamdari, Seyed Amin UL

Doctoral thesis (2018)

Electric vehicles are expected to become one of the key elements of future sustainable transportation systems. The first generation of electric cars are already commercially available but still, suffer ... [more ▼]

Electric vehicles are expected to become one of the key elements of future sustainable transportation systems. The first generation of electric cars are already commercially available but still, suffer from problems and constraints that have to be solved before a mass market might be created. Key aspects that will play an important role in modern electric vehicles are range extension, energy efficiency, safety, comfort as well as communication. An overall solution approach to integrating all these aspects is the development of advanced driver assistance systems to make electric vehicles more intelligent. Driver assistance systems are based on the integration of suitable sensors and actuators as well as electronic devices and software-enabled control functionality to automatically support the human driver. Driver assistance for electric vehicles will differ from the already used systems in fuel-powered cars such as electronic stability programs, adaptive cruise control etc. in a way that they must support energy efficiency while the system itself must also have a low power consumption. In this work, an eco-driving functionality as the first step towards those new driver assistance systems for electric vehicles will be investigated. Using information about the internal state of the car, navigation information as well as advanced information about the environment coming from sensors and network connections, an algorithm will be developed that will adapt the speed of the vehicle automatically to minimize energy consumption. From an algorithmic point of view, a stochastic model predictive control approach will be applied and adapted to the special constraints of the problem. Finally, the solution will be tested in simulations as well as in first experiments with a commercial electric vehicle in the SnT Automation & Robotics Research Group (SnT ARG). [less ▲]

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See detailStochastic modelling of clay/epoxy nanocomposites
Silani, Mohammad; Talebi, Hossein; Ziaei-Rad, Saeed et al

in Composite Structures (2014), 118

This paper presents a numerical investigation of the mechanical properties of exfoliated clay/epoxy nanocomposites. The large scatter in the material properties and distribution of the inclusions and ... [more ▼]

This paper presents a numerical investigation of the mechanical properties of exfoliated clay/epoxy nanocomposites. The large scatter in the material properties and distribution of the inclusions and matrix is taken into account by introducing an appropriate stochastic damage modelling at the nano scale. Then, the overall properties of the nanocomposite are upscaled using computational homogenisation. Two mechanical properties are investigated: the random distribution of the homogenised Young’s modulus and the overall loss of stiffness observed in the case of extreme loading. The results obtained in the former case are in good agreement with experimental results from the literature. In the second case, we show that exfoliation does not significantly affect the overall strength of the nanocomposite. [less ▲]

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See detailStochastic modelling of the eukaryotic heat shock response
Mizera, Andrzej UL; Gambin, Barbara

in Journal of Theoretical Biology (2010), 265(3), 455466

Detailed reference viewed: 69 (2 UL)
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See detailStochastic Optimum Energy Management for Advanced Transportation Network
Sajadi Alamdari, Seyed Amin UL; Voos, Holger UL; Darouach, Mohamed

in 15th IFAC Symposium on Control in Transportation Systems CTS 2018 (2018, July 19)

Smart and optimal energy consumption in electric vehicles has high potential to improve the limited cruising range on a single battery charge. The proposed concept is a semi-autonomous ecological advanced ... [more ▼]

Smart and optimal energy consumption in electric vehicles has high potential to improve the limited cruising range on a single battery charge. The proposed concept is a semi-autonomous ecological advanced driver assistance system which predictively plans for a safe and energy-efficient cruising velocity profile autonomously for battery electric vehicles. However, high entropy in transportation network leads to a challenging task to derive a computationally efficient and tractable model to predict the traffic flow. Stochastic optimal control has been developed to systematically find an optimal decision with the aim of performance improvement. However, most of the developed methods are not real-time algorithms. Moreover, they are mainly risk-neutral for safety-critical systems. This paper investigates on the real-time risk-sensitive nonlinear optimal control design subject to safety and ecological constraints. This system improves the efficiency of the transportation network at the microscopic level. Obtained results demonstrate the effectiveness of the proposed method in terms of states regulation and constraints satisfaction. [less ▲]

Detailed reference viewed: 108 (8 UL)
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See detailStochastic particle approximations for the Ricci flow on surfaces and the Yamabe flow
Philipowski, Robert UL

in Potential Analysis (2011), 35

We present stochastic particle approximations for the normalized Ricci flow on surfaces and for the non-normalized Yamabe flow on manifolds of arbitrary dimension.

Detailed reference viewed: 94 (15 UL)
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See detailStochastic POMDP controllers: How easy to optimize?
Vlassis, Nikos UL; Littman, M. L.; Barber, D.

Scientific Conference (2012)

It was recently shown that computing an optimal stochastic controller in a discounted in finite-horizon partially observable Markov decision process is an NP-hard problem. The reduction (from the ... [more ▼]

It was recently shown that computing an optimal stochastic controller in a discounted in finite-horizon partially observable Markov decision process is an NP-hard problem. The reduction (from the independent-set problem) involves designing an MDP with special state-action rewards. In this note, we show that the case of state-only-dependent rewards is also NP-hard. [less ▲]

Detailed reference viewed: 62 (14 UL)
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See detailStochastic stability of endogenous growth: The AK case
Boucekkine, Raouf; Zou, Benteng UL

E-print/Working paper (2014)

This note studies the stochastic stability of the standard AK growth model un- der uncertain output technology. Capital accumulation follows a stochastic lin- ear homogenous differential equation. It’s ... [more ▼]

This note studies the stochastic stability of the standard AK growth model un- der uncertain output technology. Capital accumulation follows a stochastic lin- ear homogenous differential equation. It’s shown that exponential balanced paths, which characterize optimal trajectories in the absence of uncertainty, are not robust to uncertainty. Precisely, it’s demonstrated that the economy almost surely col- lapses at exponential speed even though productivity is initially arbitrarily high. [less ▲]

Detailed reference viewed: 32 (5 UL)
See detailStochastic stability of endogenous growth: Theory and applications
Boucekkine, Raouf; Pintus, Patrick; Zou, Benteng UL

E-print/Working paper (2015)

We examine the issue of stability of stochastic endogenous growth. First, stochastic stability concepts are introduced and applied to stochastic linear homogenous differen- tial equations to which several ... [more ▼]

We examine the issue of stability of stochastic endogenous growth. First, stochastic stability concepts are introduced and applied to stochastic linear homogenous differen- tial equations to which several stochastic endogenous growth models reduce. Second, we apply the mathematical theory to two models, starting with the stochastic AK model. It’s shown that in this case exponential balanced paths, which characterize optimal trajectories in the absence of uncertainty, are not robust to uncertainty: the economy may almost surely collapse at exponential speed even though productivity is initially arbitrarily high. Finally, we revisit the seminal global diversification endogenous growth model (Obstfeld, 1994): taking into account stochastic stability calls for a redefinition of the mean growth concept, which leads to revisit the established wisdom on the growth effect of global diversification. [less ▲]

Detailed reference viewed: 81 (8 UL)
See detailStochastic thermodynamics
Esposito, Massimiliano UL

Scientific Conference (2012)

Detailed reference viewed: 89 (1 UL)
See detailStochastic thermodynamics : Engines and demons
Esposito, Massimiliano UL

Scientific Conference (2012)

Detailed reference viewed: 63 (0 UL)
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See detailStochastic thermodynamics and coarse graining
Esposito, Massimiliano UL

Scientific Conference (2013, January)

Detailed reference viewed: 53 (2 UL)
See detailStochastic thermodynamics and information
Esposito, Massimiliano UL

Scientific Conference (2012, May 24)

I will emphasize the deep connection established by stochastic thermodynamics between information and nonequilibrum thermodynamics. More specifically, I will discuss the meaning, in terms of information ... [more ▼]

I will emphasize the deep connection established by stochastic thermodynamics between information and nonequilibrum thermodynamics. More specifically, I will discuss the meaning, in terms of information, of recovering equilibrium thermodynamics [1]. I will also present the nonequilibrium Laundauer principle [2], and an elegant way to incorporate "Maxwell demon" feedbacks into the theory [3]. [1] M. Esposito, "Stochastic thermodynamics under coarse-graining", Phys. Rev. E 85, 041125 (2012) [2] M. Esposito and C. Van den Broeck, "Second law and Landauer principle far from equilibrium", EPL 95, 40004 (2011) [3] M. Esposito and G. Schaller, "Stochastic thermodynamics for 'Maxwell demon' feedbacks", arxiv:1204.5671 [less ▲]

Detailed reference viewed: 76 (0 UL)
See detailStochastic Thermodynamics and Information Processing
Esposito, Massimiliano UL

Scientific Conference (2013, March 11)

I will start by presenting different ways in which one can use stochastic thermodynamics to characterize the cost of operations manipulating information. The main focus of my talk will be dedicated to ... [more ▼]

I will start by presenting different ways in which one can use stochastic thermodynamics to characterize the cost of operations manipulating information. The main focus of my talk will be dedicated to explicitly show, using stochastic thermodynamics, in what sense a Maxwell demon effectively modifies the second law of thermodynamics and in what sense it satisfies the second law when the cost for operating the demon is taken into account. A model of coupled quantum dots will be used to illustrate my point. [less ▲]

Detailed reference viewed: 71 (0 UL)
See detailStochastic Thermodynamics and Information Processing
Esposito, Massimiliano UL

Scientific Conference (2013)

Detailed reference viewed: 63 (0 UL)