Manyreal-world large-scale systems can be modeled as distributedintelligent systems, where examples include distributed sensor systemsand a team of robots. Recently, analysis and synthesis of distributedintelligent systems have found extensive applications in various domains including distributed computing, formation control, spacecraft control, distributed sensor networks, and smart grids. Since each individual agent(individual)in the distributedintelligentsystemshas limited computational and sensing abilities, distributed control and estimation design have more significant potential advantages than centralized ones in the context of distributedintelligentsystems.

Furthermore, it has been shown that the abundance of embedded computational and sensing resources in distributedintelligentsystemsenables enhanced operational effectiveness through cooperative teamwork in real applications. The main focus of this special session will be on new and existing distributed analysisand synthesis approaches indistributed intelligentsystems, which will certainly become an international forum for researchers in all branches of applied mathematics as well as control engineering to present, share, and summarize the most recent developments and ideas on related topics in distributed control and estimation of distributed intelligent systems.