Nowadays networked systems are ubiquitous and play indispensable roles in large-scale industrial systems, such as the smart grids, process control systems, intelligent transportation systems, multivehicle systems, and wireless sensor networks. The control, estimation and optimization are essential for the implementation of networked systems. Unfortunately, the network bandwidth is not adequate in most of these networked systems, especially for those who have large numbers of device connections via wireless communication links. The bandwidth insufficiency can cause traffic jams and lead to communication delays, packet dropouts, degrading the performance of control, estimation and optimization and even destroying the whole networked systems.
The event-triggered mechanism has proved to be the most promising solution to exploiting the networked and computational resources efficiently, and has received great attention in last decade. However, the event-triggered control, estimation and optimization of networked systems face great challenges, and the aperiodic operations in time scales renders the conventional results in periodic control, estimation and optimization invalid. Though great progress has been made in this area, there are still a lot of open problems to be solved.
The aim of this Research Topic is to solicit original and high-quality research results to provide new ideas and innovative approaches to the formulation, design, analysis and implementation of event-triggered control, estimation and optimization. The Research Topic includes, but is not limited to, the following:
• Event-triggered control of networked systems
• Event-triggered estimation of sensor networks
• Distributed event-triggered optimization of large-scale systems
• Design and analysis of distributed event-triggered, self-triggered, periodic event-triggered methods
• Event-triggered control and analysis of multi-agent systems and/or Cyber-physical systems
• Industrial Implementation of event-triggered control, estimation and optimization
• New event-triggered strategies in planning, scheduling and learning
Nowadays networked systems are ubiquitous and play indispensable roles in large-scale industrial systems, such as the smart grids, process control systems, intelligent transportation systems, multivehicle systems, and wireless sensor networks. The control, estimation and optimization are essential for the implementation of networked systems. Unfortunately, the network bandwidth is not adequate in most of these networked systems, especially for those who have large numbers of device connections via wireless communication links. The bandwidth insufficiency can cause traffic jams and lead to communication delays, packet dropouts, degrading the performance of control, estimation and optimization and even destroying the whole networked systems.
The event-triggered mechanism has proved to be the most promising solution to exploiting the networked and computational resources efficiently, and has received great attention in last decade. However, the event-triggered control, estimation and optimization of networked systems face great challenges, and the aperiodic operations in time scales renders the conventional results in periodic control, estimation and optimization invalid. Though great progress has been made in this area, there are still a lot of open problems to be solved.
The aim of this Research Topic is to solicit original and high-quality research results to provide new ideas and innovative approaches to the formulation, design, analysis and implementation of event-triggered control, estimation and optimization. The Research Topic includes, but is not limited to, the following:
• Event-triggered control of networked systems
• Event-triggered estimation of sensor networks
• Distributed event-triggered optimization of large-scale systems
• Design and analysis of distributed event-triggered, self-triggered, periodic event-triggered methods
• Event-triggered control and analysis of multi-agent systems and/or Cyber-physical systems
• Industrial Implementation of event-triggered control, estimation and optimization
• New event-triggered strategies in planning, scheduling and learning
