Editorial for Recent Developments on Stochastic Hybrid Systems: Control, Filtering and its Applications special section

Stochastic hybrid systems are a class of dynamic systems, where random autonomous variations occur among different system modes subject to a certain stochastic process. Due to their powerful modeling capability, stochastic hybrid systems have been used to model practical systems/plants/processes in various fields, such as air traffic management systems, manufacturing systems, biological systems, and communication networks. Over the last decade, considerable research efforts have been dedicated to modeling, control and filtering for stochastic hybrid systems. However, there are still a number of open problems, in both theory and practice, which need to be explored in order to adequately address ongoing concerns from researchers and engineers. Therefore, the main purpose of this Special Issue on Recent Developments on Stochastic Hybrid Systems: Control, Filtering and Its Applications of the Transactions of the Institute of Measurement and Control is to provide an overview of recent advances and developments in this emerging research area. This Special Issue consists of 16 papers selected from a lot of high-quality submissions via a rigid review process. It refers to some recent developments on stochastic hybrid systems in both theoretical and application fields. The main contributions of the accepted papers are classified into three groups, which are briefly summarized as follows.