926 research outputs found
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Hybrid modelling of biological systems using fuzzy continuous Petri nets
Copyright © The Author(s) 2019. Integrated modelling of biological systems is challenged by composing components with sufficient kinetic data and components with insufficient kinetic data or components built only using experts’ experience and knowledge. Fuzzy continuous Petri nets (FCPNs) combine continuous Petri nets with fuzzy inference systems, and thus offer an hybrid uncertain/certain approach to integrated modelling of such biological systems with uncertainties. In this paper, we give a formal definition and a corresponding simulation algorithm of FCPNs, and briefly introduce the FCPN tool that we have developed for implementing FCPNs. We then present a methodology and workflow utilizing FCPNs to achieve hybrid (uncertain/certain) modelling of biological systems illustrated with a case study of the Mercaptopurine metabolic pathway. We hope this research will promote the wider application of FCPNs and address the uncertain/certain integrated modelling challenge in the systems biology area.National Key R&D Program of China (2018YFC0830900); National Natural Science Foundation of China (61873094); Science and Technology Program of Guangzhou, China (201804010246); Natural Science Foundation of Guangdong Province of China (2018A030313338)
Petri Nets for Smart Grids: The Story So Far
Since the energy domain is in a transformative shift towards sustainability,
the integration of new technologies and smart systems into traditional power
grids has emerged. As an effective approach, Petri Nets (PN) have been applied
to model and analyze the complex dynamics in Smart Grid (SG) environments.
However, we are currently missing an overview of types of PNs applied to
different areas and problems related to SGs. Therefore, this paper proposes
four fundamental research questions related to the application areas of PNs in
SGs, PNs types, aspects modelled by PNs in the identified areas, and the
validation methods in the evaluation. The answers to the research questions are
derived from a comprehensive and interdisciplinary literature analysis. The
results capture a valuable overview of PNs applications in the global energy
landscape and can offer indications for future research directions
Hybrid modelling of biological systems: current progress and future prospects
Copyright © 2022 The Author(s). Integrated modelling of biological systems is becoming a necessity for constructing models containing the major biochemical processes of such systems in order to obtain a holistic understanding of their dynamics and to elucidate emergent behaviours. Hybrid modelling methods are crucial to achieve integrated modelling of biological systems. This paper reviews currently popular hybrid modelling methods, developed for systems biology, mainly revealing why they are proposed, how they are formed from single modelling formalisms and how to simulate them. By doing this, we identify future research requirements regarding hybrid approaches for further promoting integrated modelling of biological systems.National Natural Science Foundation of China (61873094)
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Past, present and future mathematical models for buildings (i)
This is the first of two articles presenting a detailed review of the historical evolution of mathematical models applied in the development of building technology, including conventional buildings and intelligent buildings. After presenting the technical differences between conventional and intelligent buildings, this article reviews the existing mathematical models, the abstract levels of these models, and their links to the literature for intelligent buildings. The advantages and limitations of the applied mathematical models are identified and the models are classified in terms of their application range and goal. We then describe how the early mathematical models, mainly physical models applied to conventional buildings, have faced new challenges for the design and management of intelligent buildings and led to the use of models which offer more flexibility to better cope with various uncertainties. In contrast with the early modelling techniques, model approaches adopted in neural networks, expert systems, fuzzy logic and genetic models provide a promising method to accommodate these complications as intelligent buildings now need integrated technologies which involve solving complex, multi-objective and integrated decision problems
Modern software cybernetics: new trends
Software cybernetics research is to apply a variety of techniques from cybernetics research to software engineering research. For more than fifteen years since 2001, there has been a dramatic increase in work relating to software cybernetics. From cybernetics viewpoint, the work is mainly on the first-order level, namely, the software under observation and control. Beyond the first-order cybernetics, the software, developers/users, and running environments influence each other and thus create feedback to form more complicated systems. We classify software cybernetics as Software Cybernetics I based on the first-order cybernetics, and as Software Cybernetics II based on the higher order cybernetics. This paper provides a review of the literature on software cybernetics, particularly focusing on the transition from Software Cybernetics I to Software Cybernetics II. The results of the survey indicate that some new research areas such as Internet of Things, big data, cloud computing, cyber-physical systems, and even creative computing are related to Software Cybernetics II. The paper identifies the relationships between the techniques of Software Cybernetics II applied and the new research areas to which they have been applied, formulates research problems and challenges of software cybernetics with the application of principles of Phase II of software cybernetics; identifies and highlights new research trends of software cybernetic for further research
Intersection Collision Avoidance For Autonomous Vehicles Using Petri Nets
Indiana University-Purdue University Indianapolis (IUPUI)Autonomous vehicles currently dominate the automobile field for their impact on
humanity and society. Connected and Automated Vehicles (CAV’s) are vehicles that
use different communication technologies to communicate with other vehicles, infrastructure, the cloud, etc. With the information received from the sensors present, the
vehicles analyze and take necessary steps for smooth, collision-free driving. This
the
sis talks about the cruise control system along with the intersection collision avoidance
system based on Petri net models. It consists of two internal controllers for velocity
and distance control, respectively, and three external ones for collision avoidance.
Fault-tolerant redundant controllers are designed to keep these three controllers in
check. The model is built using a PN toolbox and tested for various scenarios. The
model is also validated, and its distinct properties are analyzed
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