The purpose of this Research Topic is to map and disseminate the current state-of-the-art in the challenging field of dead-time control strategies. This proposition is mainly motivated by the increasing role of control systems technology in many processes that exhibit significant dead times. Data-driven control, network induced delays, event-triggered actuation, and nonlinear control of dead-time processes have been receiving significant attention recently as a consequence of the development of new control paradigms.
Dead time, also known as input-output delay, is often present in control systems as a computational or informational delay. However, in most cases, it is very small if compared with dominant response times in order that it can be neglected. The physical process under control can also exhibit dead time as a time interval between a variation of the input control action and the observation of its effect in the output variable. When this dead time is significant, then the control engineer will find that it may be harder to either stabilize the closed-loop system, or to achieve a desired closed-loop response specification. Indeed, this undesired time interval between action and effective response is responsible for robustness margins reduction and the time-domain performance deterioration. Dead time is widely found in the process industries when transporting materials or energy, but is also present in other areas such as biological and medical systems. Several strategies to deal with dead times have already been presented over decades, but new challenges are arising from new control perspectives.
Subjects of interest in this Research Topic include (but are not limited to):
- theoretical and implementation challenges when dealing with dead-time-closed-loop strategies,
- novel data-driven modeling techniques capturing the dead-time dynamics of industrial systems,
- event-triggered controllers for dead-time systems,
- dead-time control schemes; robust and adaptive strategies,
- dead-time compensators for nonlinear systems,
- dead-time compensators for systems with time-varying delays,
- case studies on real data
- application areas in industrial processes, energy systems, healthcare and medical systems, etc.
Conflict of Interest Statement: Massimiliano Veronesi is employed by Yokogawa Italia. All other Topic Editors declare no competing interests with regards to the Research Topic subject.
The purpose of this Research Topic is to map and disseminate the current state-of-the-art in the challenging field of dead-time control strategies. This proposition is mainly motivated by the increasing role of control systems technology in many processes that exhibit significant dead times. Data-driven control, network induced delays, event-triggered actuation, and nonlinear control of dead-time processes have been receiving significant attention recently as a consequence of the development of new control paradigms.
Dead time, also known as input-output delay, is often present in control systems as a computational or informational delay. However, in most cases, it is very small if compared with dominant response times in order that it can be neglected. The physical process under control can also exhibit dead time as a time interval between a variation of the input control action and the observation of its effect in the output variable. When this dead time is significant, then the control engineer will find that it may be harder to either stabilize the closed-loop system, or to achieve a desired closed-loop response specification. Indeed, this undesired time interval between action and effective response is responsible for robustness margins reduction and the time-domain performance deterioration. Dead time is widely found in the process industries when transporting materials or energy, but is also present in other areas such as biological and medical systems. Several strategies to deal with dead times have already been presented over decades, but new challenges are arising from new control perspectives.
Subjects of interest in this Research Topic include (but are not limited to):
- theoretical and implementation challenges when dealing with dead-time-closed-loop strategies,
- novel data-driven modeling techniques capturing the dead-time dynamics of industrial systems,
- event-triggered controllers for dead-time systems,
- dead-time control schemes; robust and adaptive strategies,
- dead-time compensators for nonlinear systems,
- dead-time compensators for systems with time-varying delays,
- case studies on real data
- application areas in industrial processes, energy systems, healthcare and medical systems, etc.
Conflict of Interest Statement: Massimiliano Veronesi is employed by Yokogawa Italia. All other Topic Editors declare no competing interests with regards to the Research Topic subject.
