Results 81 to 90 of about 815,297 (348)
The problem of event-triggered $ H_\infty $ filtering for discrete-time Markov jump delayed neural networks with quantizations is investigated in this paper.
Tingting Zhang, Jinfeng Gao, Jiahao Li
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Simulation of Electrical Grid with Omnet++ Open Source Discrete Event System Simulator
The simulation of electrical networks is very important before development and servicing of electrical networks and grids can occur. There are software that can simulate the behaviour of electrical grids under different operating conditions, but these ...
Sőrés Milán, Fodor Attila
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A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
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Modelling of secondary cooling system with a distributed architecture, using Coloured Petri nets
Currently, cooling systems adjust their control structures with the objective of satisfying the demands of different applications. In consequence, the centralized structure frequently used in this type of applications has evolved towards a distributed ...
Ruth Cano +2 more
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Petri nets are an important tool for creation of new platforms for digitised production systems due to their versatility in modelling discrete event systems.
Erik Kučera +4 more
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Tail Asymptotics for Discrete Event Systems [PDF]
In the context of communication networks, the framework of stochastic event graphs allows a modeling of control mechanisms induced by the communication protocol and an analysis of its performances. We concentrate on the logarithmic tail asymptotics of the stationary response time for a class of networks that admit a representation as (max,plus)-linear ...
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Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
This paper focuses on discrete dynamic optimization on train rescheduling on single-track railway with the consideration of train punctuality and station satisfaction degree. A discrete dynamic system is firstly described to mimic train rescheduling, and
Zhengkun Zhang, Changfeng Zhu, Wenhu Ma
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Discrete Event Simulation of Hybrid Systems [PDF]
Summary: This paper describes the quantization-based integration methods and extends their use to the simulation of hybrid systems. Using the fact that these methods approximate ordinary differential equations (ODEs) and differential algebraic equations (DAEs) by discrete event systems, it is shown how hybrid systems can be approximated by pure ...
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Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai +2 more
wiley +1 more source

