Complexity

Cyber-Physical Control


Publishing date
01 Mar 2018
Status
Published
Submission deadline
27 Oct 2017

Lead Editor

1Óbuda University, Budapest, Hungary

2Harbin Institute of Technology, Harbin, China

3National Taiwan University of Science and Technology, Taipei, Taiwan


Cyber-Physical Control

Description

Today, the combination of various enabling technologies allows us to build and operate very complex mechatronic devices, intelligent production systems (system of systems), and autonomous machines never seen before. These advances necessarily involve the latest results of systems and control theory, nonlinear optimization, knowledge representations, and neurocomputing as well as the modern computational and telecommunication infrastructure (cloud technologies, large bandwidth, low-latency networks, etc.). Such systems over a certain level of complexity are often referred to as Cyber Physical Systems (CPS).

Cyber Physical Control as a multidisciplinary research field investigates the applications of existing theories and methodologies in the context of regulating CPS at different levels from low-level sensing and actuation to system-level orchestration.

We invite authors to contribute original research papers as well as review articles that gain the interest of the interdisciplinary research community. Potential authors from academia and industries are welcome to submit articles.

Potential topics include but are not limited to the following:

  • Modeling and multiobjective control of complex nonlinear systems
  • Complexity reduction and complexity-accuracy trade-off
  • Orchestration of Cyber Physical Production Systems
  • Decentralized control of distributed systems
  • Combination of machine learning and analytical knowledge in control systems
  • Machine learning methods in Cyber Physical Systems
  • Handling time-delay in networked control systems
  • Mathematical modeling of human behavior in human-machine systems

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 9834608
  • - Editorial

Cyber-Physical Control

Péter Galambos | Imre J. Rudas | ... | Shun-Feng Su
  • Special Issue
  • - Volume 2018
  • - Article ID 8281079
  • - Research Article

Orchestrated Platform for Cyber-Physical Systems

Róbert Lovas | Attila Farkas | ... | Botond Kádár
  • Special Issue
  • - Volume 2018
  • - Article ID 4670159
  • - Research Article

Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming

Hamza Khan | József K. Tar | ... | György Eigner
  • Special Issue
  • - Volume 2018
  • - Article ID 4073531
  • - Research Article

Affine Tensor Product Model Transformation

József Kuti | Péter Galambos
  • Special Issue
  • - Volume 2018
  • - Article ID 1069839
  • - Research Article

Intermittent Control for Cluster-Delay Synchronization in Directed Networks

Jianbao Zhang | Yi Wang | ... | Fawaz Alsaadi
  • Special Issue
  • - Volume 2018
  • - Article ID 4283634
  • - Research Article

Immersive Technology for Human-Centric Cyberphysical Systems in Complex Manufacturing Processes: A Comprehensive Overview of the Global Patent Profile Using Collective Intelligence

Usharani Hareesh Govindarajan | Amy J. C. Trappey | Charles V. Trappey
  • Special Issue
  • - Volume 2018
  • - Article ID 8701219
  • - Research Article

Input-to-State Stability of Nonlinear Switched Systems via Lyapunov Method Involving Indefinite Derivative

Peng Li | Xiaodi Li | Jinde Cao
Complexity
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Acceptance rate11%
Submission to final decision120 days
Acceptance to publication21 days
CiteScore4.400
Journal Citation Indicator0.720
Impact Factor2.3
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