We study and analyze various dynamic problems arising in cyber-physical systems with strategic interdependent agents and asymmetric information.
First, we study a dynamic mechanism design problem in a network of interdependent agents with coupled dynamics. We utilize the inter-temporal correlation among the agents’ private information to design a resource allocation problem that maximizes the social welfare.  
Second, we consider environments where agents’ dynamics are not coupled. We show that by dynamically coupling the allocation of resources to agents, we can achieve an optimal allocation of resources over time. 
Third, we demonstrate how information disclosure can persuade strategic agents to alter their behavior over time so as to improve the overall performance of a network.