Complexity

Intelligent Control Approaches for Modeling and Control of Complex Systems


Status
Published

1University of Huelva, Huelva, Spain

2University of Basque Country, Bilbao, Spain

3University of Portsmouth, Portsmouth, UK


Intelligent Control Approaches for Modeling and Control of Complex Systems

Description

For the purposes of this special issue, a complex system is any system featuring a large number of interacting components whose aggregate activity is nonlinear and hence not derivable from the summations of the activity of individual components. As control methods are normally applied to dynamical systems, we are interested in complex dynamical systems.

The rising complexity of man-made engineering systems (e.g., power networks, aircraft, autonomous vehicles, and communication networks) causes us increasing difficulties to understand their behavior and to obtain accurate first-principle dynamical models to describe them, which reduces our capability to control those systems and make them behave in the way we want.

Intelligent control refers to approaches to control systems design, modelling, identification, and operation that use artificial intelligence techniques, such as fuzzy logic, neural networks, machine learning, evolutionary computation, and genetic algorithms. Intelligent control techniques are often capable of controlling dynamical systems that, because of their complexity, are very difficult to control by other techniques.

Intelligent control systems are characterized by attempts to emulate important aspects of biological intelligence. These aspects include, for instance, adaptation and learning, planning under uncertainty, and decision making. Intelligent control is interdisciplinary in nature as it seeks inspiration from biology, and it combines and extends theories and methods from areas such as control theory, mathematics, and computer science.

The aim of this special issue is to bring together the latest advances and trends in the application of intelligent control to the modeling and control of complex systems.

Potential topics include but are not limited to the following:

  • Identification and modeling of complex systems using artificial intelligence
  • Design of intelligent controllers for complex systems
  • Applications of intelligent control to complex engineering systems
  • Learning control of complex systems
  • Analysis of stability and robustness of intelligent control systems
  • Hybridization techniques in intelligent control
  • Intelligent control of complex networks
  • New trends in intelligent control of complex systems

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 2090715
  • - Editorial

Intelligent Control Approaches for Modeling and Control of Complex Systems

José M. Andújar | Eloy Irigoyen | Victor M. Becerra
  • Special Issue
  • - Volume 2018
  • - Article ID 1430989
  • - Research Article

Finite-Time Switched Second-Order Sliding-Mode Control of Nonholonomic Wheeled Mobile Robot Systems

Hao Ce | Wang Hongbin | ... | Hu Zhongquan
  • Special Issue
  • - Volume 2018
  • - Article ID 8124861
  • - Research Article

Event-Based Time Varying Formation Control for Multiple Quadrotor UAVs with Markovian Switching Topologies

Zhen Zhou | Hongbin Wang | Zhongquan Hu
  • Special Issue
  • - Volume 2018
  • - Article ID 6879419
  • - Research Article

Intelligent UAV Map Generation and Discrete Path Planning for Search and Rescue Operations

Víctor San Juan | Matilde Santos | José Manuel Andújar
  • Special Issue
  • - Volume 2018
  • - Article ID 9327536
  • - Research Article

Using Deep Learning to Predict Complex Systems: A Case Study in Wind Farm Generation

J. M. Torres | R. M. Aguilar
  • Special Issue
  • - Volume 2018
  • - Article ID 7615123
  • - Research Article

Low Speed Longitudinal Control Algorithms for Automated Vehicles in Simulation and Real Platforms

Mauricio Marcano | José A. Matute | ... | Joshué Pérez
  • Special Issue
  • - Volume 2018
  • - Article ID 5348265
  • - Research Article

Multi-GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics

Carlos González-Gutiérrez | María Luisa Sánchez-Rodríguez | ... | Francisco Javier de Cos Juez
  • Special Issue
  • - Volume 2018
  • - Article ID 7560717
  • - Research Article

Optimal Modeling of Wireless LANs: A Decision-Making Multiobjective Approach

Tomás de Jesús Mateo Sanguino | Jhon Carlos Mendoza Betancourt
  • Special Issue
  • - Volume 2018
  • - Article ID 1849527
  • - Research Article

Design, Modelling, and Implementation of a Fuzzy Controller for an Intelligent Road Signaling System

José Manuel Lozano Domínguez | Tomás de J. Mateo Sanguino
  • Special Issue
  • - Volume 2018
  • - Article ID 7238015
  • - Research Article

Neural Models for Imputation of Missing Ozone Data in Air-Quality Datasets

Ángel Arroyo | Álvaro Herrero | ... | Michał Woźniak
Complexity
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 Journal metrics
Acceptance rate43%
Submission to final decision64 days
Acceptance to publication35 days
CiteScore3.200
Impact Factor2.462
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