- document
-
Zhu, Man (author), Tian, Kang (author), Wen, Yuan Qiao (author), Cao, Ji Ning (author), Huang, L. (author)This study contributes to addressing the challenge of quickly obtaining an effective and accurate nonparametric model for describing ship maneuvering motion in three degrees of freedom (3-DOF). To achieve this, an intelligent ship dynamics nonparametric modeling method named improved PER-DDPG is proposed. This method leverages the deep...journal article 2023
- document
-
Li, H. (author), Lekić, A. (author), Li, Shan (author), Jiang, Dongrong (author), Guo, Qiang (author), Zhou, Lin (author)The distribution network (DN) reconfiguration is a well-known optimal power flow (OPF) problem. However, with the transition of DN from 'passive' to 'active', new technical challenges arise in DN reconfiguration. This article addresses two key issues in this regard. Firstly, the integration of local renewable generation (LRG) introduces...journal article 2023
- document
-
Elmi, Zeinab (author), Li, Bokang (author), Liang, Benbu (author), Lau, Yui yip (author), Borowska-Stefańska, Marta (author), Wiśniewski, Szymon (author), Dulebenets, Maxim A. (author)Time management is crucial for liner shipping services. A variety of unexpected events can disrupt liner shipping schedules. A real-time port capacity analysis and rescheduling the original ship operations would be necessary to counteract the negative effects of such disruptions. Different ship schedule recovery options can be adopted in...journal article 2023
- document
-
Zhang, Y. (author), Negenborn, R.R. (author), Atasoy, B. (author)The objective of this study is to address the issue of service time uncertainty in synchromodal freight transport, which can cause delays, inefficiencies, and reduced satisfaction for shippers. The proposed solution is an online deep Reinforcement Learning (RL) approach that takes into account the service time uncertainty, assisted by an...journal article 2023
- document
-
Yang, M. (author), Sun, H. (author), Geng, S. (author)Recent years have seen the increasing complexity of engineered systems. Complexity and uncertainty also exist in engineered systems’ interactions with human operators, managers, and the organization. Resilience, focusing on a system's ability to anticipate, absorb, adapt to, and recover from disruptive situations, can provide an umbrella concept...journal article 2023
- document
-
Celemin, Carlos (author), Kober, J. (author)In order to deploy robots that could be adapted by non-expert users, interactive imitation learning (IIL) methods must be flexible regarding the interaction preferences of the teacher and avoid assumptions of perfect teachers (oracles), while considering they make mistakes influenced by diverse human factors. In this work, we propose an IIL...journal article 2023
- document
-
Hadjisotiriou, Sophie (author), Marchau, V.A.W.J. (author), Walker, W.E. (author), Rikkert, Marcel Olde (author)Policymakers around the world were generally unprepared for the global COVID-19 pandemic. As a result, the virus has led to millions of cases and hundreds of thousands of deaths. Theoretically, the number of cases and deaths did not have to happen (as demonstrated by the results in a few countries). In this pandemic, as in other great disasters,...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. The 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
-
Nastos Konstantopoulos, C. (author), Komninos, P. (author), Zarouchas, D. (author)A hybrid methodology based on numerical and non-destructive experimental schemes, which is able to predict the structural level strength of composite laminates is proposed on the current work. The main objective is to predict the strength by substituting the up to failure experiments with non-destructive experiments where the investigated...journal article 2023
- document
-
Zhou, C. (author), van Nooijen, R.R.P. (author), Kolechkina, A.G. (author)The representation of uncertainty in results is an important aspect of statistical techniques in hydrology and climatology. Hypothesis tests and point estimates are not well suited for this purpose. Other statistical tools, such as confidence curves, are better suited to represent uncertainty. Therefore three parametric methods to construct...journal article 2023
- document
-
Huang, R. (author), Zhao, Xuan (author), Yuan, Y. (author), Yu, Qiang (author), Liu, Chengqing (author), Daamen, W. (author)Pedestrian tactical choices and operational movement in evacuations essentially pertain to decision-making under risk and uncertainty. However, in microscopic evacuation models, this attribute has been greatly overlooked, even lacking a methodology to delineate the related decision characteristics (bounded rationality and risk attitudes), let...journal article 2023
- document
-
Delimpaltadakis, Giannis (author), Mazo, M. (author)Scheduling communication traffic in networks of event-triggered control (ETC) systems is challenging, as their sampling times are unknown, hindering application of ETC in networks. In previous work, finite-state abstractions were created, capturing the sampling behavior of linear time-invariant (LTI) ETC systems with quadratic triggering...journal article 2023
- document
-
Lv, Maolong (author), De Schutter, B.H.K. (author), Cao, Jinde (author), Baldi, S. (author)Practical tracking results have been reported in the literature for high-order odd-rational-power nonlinear dynamics (a chain of integrators whose power is the ratio of odd integers). Asymptotic tracking remains an open problem for such dynamics. This note gives a positive answer to this problem in the framework of prescribed performance...journal article 2023
- document
-
Wang, Yixia (author), Lin, Shu (author), Wang, Yibing (author), De Schutter, B.H.K. (author), Xu, Jungang (author)Currently, with the development of driving technologies, driverless vehicles gradually are becoming more and more available. Therefore, there would be a long period of time during which self-driving vehicles and human-driven vehicles coexist. However, for a mixed platoon, it is hard to control the formation due to the existence of the manual...journal article 2023
- document
-
Chatterjee, Sarthak (author), Alessandretti, Andrea (author), Aguiar, A. Pedro (author), Gonçalves Melo Pequito, S.D. (author)Fractional-order dynamical networks are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies among the spatial and temporal components of a wide variety of dynamical networks. Notable examples include networked control systems or neurophysiological networks which are created...journal article 2023
- document
-
Irnich, Jakob (author), van der Wal, C.N. (author), Duives, D.C. (author), Auping, Willem L. (author)Different leader-follower behaviors may be observed in models, such as group gathering, backtracking, and changing between groups. However, a comparison of these behaviors resulting in possible substantially different estimates of optimal evacuation procedures is lacking. Hence, we developed an agent-based model in combination with exploratory...conference paper 2023
- document
-
Liu, X. (author), Dabiri, A. (author), Wang, Yihui (author), De Schutter, B.H.K. (author)Real-time train scheduling is essential for passenger satisfaction in urban rail transit networks. This paper focuses on real-time train scheduling for urban rail transit networks considering uncertain time-dependent passenger origin-destination demands. First, a macroscopic passenger flow model we proposed before is extended to include...journal article 2023
- document
-
Reed, Robert (author), Laurenti, L. (author), Lahijanian, Morteza (author)Deep Kernel Learning (DKL) combines the representational power of neural networks with the uncertainty quantification of Gaussian Processes. Hence, it is potentially a promising tool to learn and control complex dynamical systems. In this letter, we develop a scalable abstraction-based framework that enables the use of DKL for control...journal article 2023
- document
-
Skovbekk, John (author), Laurenti, L. (author), Frew, Eric (author), Lahijanian, Morteza (author)Verifying the performance of safety-critical, stochastic systems with complex noise distributions is difficult. We introduce a general procedure for the finite abstraction of nonlinear stochastic systems with nonstandard (e.g., non-affine, non-symmetric, non-unimodal) noise distributions for verification purposes. The method uses a finite...journal article 2023
- document
-
Ning, Jinghua (author)Effective planning and control are crucial for the successful delivery of engineering, procurement, and construction (EPC) projects, which are characterized by complex organizational structures, interdependent activities, overlapping phases, and a large number of disciplines and participants. However, project uncertainty, including the lack of...master thesis 2022