江保平，苏州科技大学副教授，中国海洋大学与米兰理工大学联合培养博士生。从事随机微分方程理论、随机控制理论以及滑模变结构控制理论与应用等研究。主持国家自然科学基金1项、江苏省自然科学基金1项，江苏省高校自然科学基金1项，苏州市智慧城市研究院课题1项、苏州科技大学校基金2项。获中国海洋大学优秀科技创新成果奖一等奖，中国海洋大学优秀博士论文一等奖，山东省优秀成果奖二等奖，以及期刊Journal of the Franklin Institute和ISA Transactions 杰审稿人奖；已发表本领域顶级SCI论文10余篇，出版专著1部，ESI高被引论文5篇，热点论文2篇；并长期担任Automatica、IEEE Transactions on Automatic Control、IEEE Transactions on Industrial Electronics、IEEE Transactions on Industrial Informatics等国际期刊审稿人。
In many real-world systems, stochastic systems are the typical ones that can be used to model a variety of physical systems, for example, computer controlled systems, communication systems, etc. Particularly, due to the abrupt phenomena, the stochastic system is more suitably described by semi-Markov jump system (S-MJS). With respect to the intelligent control strategies, sliding mode control (SMC) was one of which that has demonstrated unique superiorities over others for the fact that the SMC models have good properties of strong robustness to nonlinear perturbations and system uncertainties. Therefore, a lot of attention has been paid to SMC from the last century to present. On the other hand, different from the past point-to-point systems, nowadays the networked control systems are achieved with the components connected through networks. Traditionally, the time-triggered control, which executed in a periodic way, may cause waste of computation, communication resources and lower efficiency in utilization of limited network resources. However, employing the event-triggered strategy allows transmission of measurements happen only when the event-triggered condition is satisfied or violated. Therefore, the event-triggered based control is becoming popular and a hot issue.