Systems & Control Engineering

The Systems and Controls section provides the field of electrical and computer engineering a unified paradigm for designing controllers in a variety of application domains. Initially developed in the context of electrical engineering, this dynamic field has come to represent an essential enabling and supporting technology for a wide range of sectors (energy, transport, manufacturing, biology, defense, robotics …).

This section is devoted to publishing focused articles related to control aspects of electronics and engineering systems, more specifically including theoretical developments and applications of control engineering as embedded control systems, mechatronics, smart systems, power systems, electrical circuits, computer science, for the enhancement of electronics systems and processes. All submissions are subject to a peer-review process. We encourage the submission of original contributions derived from theoretical and/or application-oriented research studies.

Subject Areas

The subject areas of interest include, but are not limited to:

• modelling and control approaches

• embedded control
• control theory
• adaptive control
• optimization and optimization-based control
• system identification
• intelligent control
• learning-based approaches
• robust control
• sliding mode control
• non linear control
• observer-design
• fractional-order modelling and control
• model predictive control
• fault detection and diagnosis
• fault tolerant control

• system theory

• complex systems
• networked control systems
• multi-agent systems
• uncertain systems
• non linear systems
• hybrid and switched systems
• intelligent systems
• stochastic systems
• linear systems
• safe systems
• distributed parameter systems

• applications

• motion control
• aerospace
• sensors and actuators
• mechatronics
• autonomous and intelligent systems
• robotics
• electrical systems
• navigation and control
• human machine cooperation
• bio-engineering
• marine (underwater, surface) vehicles
• micro-systems
• smart systems
• renewable energy applications
• manufactoring systems
• cyber physical systems
• automotive systems
• industrial electronic applications
• control of networks
• control of power systems and smart grids
• connected and automated vehicles
• machines
• cooperative control