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Breysens, G. (author)This thesis investigates the potential of state-dependent sampling strategies (SDSS) for the control of heavy-haul trains. Event-triggered control (ETC) is a control approach in which data is only sent when some state-dependent condition, the triggering condition, is satisfied. In this way, the number of communications required to stabilise a...master thesis 2023
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Jarne Ornia, D. (author)Besides facing the same challenges as single-agent systems, the distributed nature of complex multi-agent systems sparks many questions and problems revolving around the constraints imposed by communication. The idea that multi-agent systems require communication to access information, to coordinate or simply to sense the environment they are...doctoral thesis 2023
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Smit, Henk (author)Event-Triggered Control (ETC) is a control method where the controller is only updated when necessary. The control inputs are kept fixed until a state-dependent event triggers their re-computation. The triggering condition is designed to guarantee the stability and desired performance of the control system. This prevents the excessive use of...master thesis 2023
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de Albuquerque Gleizer, G. (author), Mazo, M. (author)Event-triggered control (ETC) is a major recent development in cyber–physical systems due to its capability of reducing resource utilization in networked devices. However, while most of the ETC literature reports simulations indicating massive reductions in the sampling required for control, no method so far has been capable of quantifying...journal article 2023
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Hirvonen, Alex (author), Leppänen, Topi (author), Hepola, Kari (author), Multanen, Joonas (author), Hoozemans, J.J. (author), Jääskeläinen, Pekka (author)Modern High Level Synthesis (HLS) tools succeed well in their engineering productivity goal, but still require toolset and target technology specific modifications to the source code to guide the process towards an efficient implementation. Furthermore, their end result is a fixed function accelerator with limited field and runtime...journal article 2023
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Kaitna, Roland (author), Prenner, David (author), Switanek, Matt (author), Maraun, Douglas (author), Stoffel, Markus (author), Hrachowitz, M. (author)Debris-flow activity is strongly controlled by hydro-meteorological trigger conditions, which are expected to change in a future climate. In this study we connect a regional hydro-meteorological susceptibility model for debris flows with climate projections until 2100 to assess changes of the frequency of critical trigger conditions for...journal article 2023
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de Albuquerque Gleizer, G. (author)Event-triggered control (ETC) and self-triggered control (STC) are sample-and-hold control paradigms in which sensor data is only updated to the controller when necessary, often aperiodically, in contrast to the well-established periodic sampling paradigm. In ETC, a state-dependent event triggers a transmission, while in STC the controller...doctoral thesis 2022
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Delimpaltadakis, Giannis (author)A fundamental challenge in networked control systems is reducing the amount of communications of each system in the network, so that bandwidth and energy are used efficiently. To address the challenge, the research community has shifted its focus to Event-Triggered Control (ETC), in which communication between the control system's different...doctoral thesis 2022
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Riveros Pavez, Alessia (author)Empirical-statistical rainfall landslide initiation thresholds are popularly used for early warning systems to discriminate between the occurrence and non-occurrence of rainfall-induced landslides. However, the few studies that have derived landslide initiation thresholds for landslide-prone and data-scarce Rwanda rely solely on the limited in...master thesis 2022
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Sun, B. (author), van Kampen, E. (author)This paper develops an event-triggered optimal control method that can deal with asymmetric input constraints for nonlinear discrete-time systems. The implementation is based on an explainable global dual heuristic programming (XGDHP) technique. Different from traditional GDHP, the required derivatives of cost function in the proposed method...journal article 2022
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Sun, B. (author), Wang, Xuerui (author), van Kampen, E. (author)In this paper, we establish an event-triggered intelligent control scheme with a single critic network, to cope with the optimal stabilization problem of nonlinear aeroelastic systems. The main contribution lies in the design of a novel triggering condition with input constraints, avoiding the Lipschitz assumption on the inverse hyperbolic...journal article 2022
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Zhang, Boyang (author), Sun, Xiuxia (author), Lv, Maolong (author), Liu, Shuguang (author)Compared with most existing results concerning unmanned aerial vehicles (UAVs) wherein two-degree or only attitude/longitudinal dynamics are considered, this paper proposes an event-based fault-tolerant coordinated control (FTC) for multiple fixed-wing UAVs such that the consensus tracking of velocity and attitude is achieved in the presence...journal article 2022
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de Albuquerque Gleizer, G. (author), Madnani, K.N. (author), Mazo, M. (author)This paper studies the reduction (abstraction) of finite-state transition systems for control synthesis problems. We revisit the notion of alternating simulation equivalence (ASE), a more relaxed condition than alternating bisimulations, to relate systems and their abstractions. As with alternating bisimulations, ASE preserves the property...conference paper 2022
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Delimpaltadakis, Giannis (author), de Albuquerque Gleizer, G. (author), Van Straalen, Ivo (author), Mazo, M. (author)We present ETCetera, a Python library developed for the analysis and synthesis of the sampling behaviour of event triggered control (ETC) systems. In particular, the tool constructs abstractions of the sampling behaviour of given ETC systems, in the form of timed automata (TA) or finite-state transition systems (FSTSs). When the abstraction...conference paper 2022
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Jarne Ornia, D. (author), Mazo, M. (author)We present an approach to reduce the communication of information needed on a Distributed Q-Learning system inspired by Event Triggered Control (ETC) techniques. We consider a baseline scenario of a Distributed Q-Learning problem on a Markov Decision Process (MDP). Following an event-based approach, N agents sharing a value function explore the...conference paper 2022
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IJtsma, Martijn (author), Borst, C. (author), van Paassen, M.M. (author), Mulder, Max (author)Air traffic controller workload is a limiting factor in the current air traffic management system. Adaptive support systems have the potential to balance controller workload and gain acceptance as they provide support during times of need. Challenges in the design of adaptive support systems are to decide when and how to trigger support. The...journal article 2022
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Sarafraz, Mohammad Saeed (author), Proskurnikov, Anton V. (author), Tavazoei, Mohammad Saleh (author), Mohajerin Esfahani, P. (author)In this article, we investigate the problem of practical output regulation, i.e., to design a controller that brings the system output in the vicinity of a desired target value while keeping the other variables bounded. We consider uncertain systems that are possibly nonlinear and the uncertainty of their linear parts is modeled element wise...journal article 2022
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Jarne Ornia, D. (author), Mazo, M. (author)We present an approach to safely reduce the communication required between agents in a Multi-Agent Reinforcement Learning system by exploiting the inherent robustness of the underlying Markov Decision Process. We compute robustness certificate functions (off-line), that give agents a conservative indication of how far their state measurements...conference paper 2022
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Wang, Ning (author), Wang, Ying (author), Wen, Guanghui (author), Lv, Maolong (author), Zhang, Fan (author)This article aims to realize event-triggered constrained consensus tracking for high-order nonlinear multiagent networks subject to full-state constraints. The main challenge of achieving such goals lies in the fact that the standard designs [e.g., backstepping, event-triggered control, and barrier Lyapunov functions (BLFs)] successfully...journal article 2022
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Koffas, S. (author), Xu, J. (author), Conti, M. (author), Picek, S. (author)This work explores backdoor attacks for automatic speech recognition systems where we inject inaudible triggers. By doing so, we make the backdoor attack challenging to detect for legitimate users and, consequently, potentially more dangerous. We conduct experiments on two versions of a speech dataset and three neural networks and explore the...conference paper 2022