Special Issue "Cyber-Physical Systems for Automated Decision Making and Trusted Autonomy"
Deadline for manuscript submissions: 31 October 2020.
Interests: aerospace sensors and systems; aerospace robotics and automation; cyber-physical systems; intelligent and autonomous systems; aircraft systems; avionics; spaceflight systems; air traffic management; unmanned aircraft systems; defence systems; intelligent transportation systems; space traffic management; sustainable aviation; navigation, guidance and control; satellite navigation; electro-optics and infrared systems; human factors and ergonomics; human-machine systems; human-robotic interactions; multisensor data fusion.
Special Issues and Collections in MDPI journals
Interests: air traffic management; avionics; optimal control; cyberphysical systems; trajectory optimisation; human factors and ergonomics; cognitive ergonomics; guidance, navigation and control; sustainable aviation; LIDAR and electro-optics; trusted autonomous systems; flight dynamics; space traffic management; sense-and-avoid
Special Issues and Collections in MDPI journals
Cyber-Physical systems (CPS) are at the core of the digital innovation that is transforming our world and redefining the way we interact with intelligent machines in a growing number of industrial sectors and social contexts. Present-day CPS integrate computation and physical processes to perform a variety of mission-essential or safety-critical tasks. From a historical perspective, CPS combine elements of cybernetics, sensor networks, mechatronics, systems engineering, embedded systems, distributed control, and communications. Properly engineered CPS rely on the seamless integration of digital and physical components, with the possibility of including human interactions. This requires three fundamental functions to be present: control, computation, and communication (C3). Practical CPS typically combine sensor networks and embedded computing to monitor and control physical processes, with feedback loops that allow physical processes to affect computations and vice versa. Despite the significant progress in CPS research, the full economic, social, and environmental benefits associated to such systems are far from being fully realised. Major investments are being made worldwide to develop CPS for an increasing number of applications, including aerospace, transport, defence, robotics, communications, security, energy, medical, smart agriculture, humanitarian, etc.
This Special Issues focusses on innovative sensors, sensor networks, and software architectures supporting the design and operation of CPS, with a focus on autonomous cyber-physical (ACP) and cyber-physical–human (CPH) systems for automated decision making and human–autonomy teaming. ACP systems operate without the need for human intervention or control. For ACP systems to work, formal reasoning is required, as these systems are normally used to accomplish mission/safety-critical tasks, and any deviation from the intended behavior may have significant implications on human health, wellbeing, economy, etc. A subclass is that of semi-autonomous cyber-physical (S-ACP) systems, which perform autonomous tasks in a specific set of predefined conditions but require a human operator otherwise. A separate category is that of CPH systems. These are a particular class of CPS where the interaction between the dynamics of the system and the cyber elements of its operation can be influenced by the human operator, and the interaction between these three elements is regulated to meet specific objectives. CPH systems consist of three main components: physical elements sensing and modelling the environment, the systems to be controlled, and the human operators; cyber elements including communication links and software; and human operators who partially monitor the operation of the system and can intervene if and when needed.
Today, several CPS implementations are S-ACP systems. This fact limits the achievable benefits and range of possible applications due to the reduced fault-tolerance and the inability of S-ACP systems to dynamically adapt in response to external stimuli. Many S-ACP architectures are progressively evolving to become either ACP or CHP depending on the specific application domains. Thus, current research aims at developing robust and fault-tolerant ACP and CPH system architectures that ensure trusted autonomous operations with the given hardware constraints, despite the uncertainties in physical processes, the limited predictability of environmental conditions, the variability of mission requirements (especially in congested or contested scenarios), and the possibility of both cyber and human errors. A key point in these advanced CPS is the control of physical processes from the monitoring of variables and the use of computational intelligence to obtain a deep knowledge of the monitored environment, thus providing timely and more accurate decisions and actions. The growing interconnection of physical and digital elements and the introduction of highly sophisticated and efficient artificial intelligence techniques has led to a new generation of CPS, which is referred to as intelligent (or smart) CPS (iCPS).
Original manuscripts are elicited from researchers active in the following areas:
- Aeronautical and space cyber-physical systems;
- Intelligent transport and future mobility systems;
- Autonomous and robotic guidance, navigation, and control;
- Human–machine systems and trusted autonomy;
- Systems for digital and personalised healthcare;
- Technologies for smart and precision agriculture;
- Wireless sensors, actuators and IoT;
- Enabling technologies for the smart energy grid;
- Geospatial data acquisition, distribution and analysis;
- Transport safety and accident investigation;
- Defence, security, and humanitarian mission systems;
- Cyber-physical system safety and security;
- Cognitive and cybernetic systems.
Particular consideration will be given to manuscripts that bridge the existing research gaps in multiple industry sectors, addressing the fundamental role of CPS and iCPS in the evolution of Internet of Things (IoT), Industry 4.0, and Industry 5.0 technologies, businesses, and policies.
Prof. Dr. Roberto Sabatini
Dr. Alessandro Gardi
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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