The aim of this research project is the development, analysis, and demonstration in case studies of controller
design for networked Cyber-Physical Systems (CPS) based on optimal control (OC). The task on dynamic
programming based OC problems derives Hamilton-Jacobi type conditions for systems
with fast and slow dynamics, and sampled control systems. The task on algorithms
on distributed OC combines approximated solutions of the necessary conditions of
optimality with methods of distributed optimization. The task on distributed model
based predictive control (MPC) for networked CPS uses theoretical tools from MPC for
networked CPS. It addresses distributed MPC for coordinated output regulation in multiagent
systems, and cloud-based MPC of networked CPS. Finally, there are two applied
tasks: energy management with multiple renewable sources, and multiple vehicle control
and coordination.
Click on the items of the list on the left to know more about the project
and the results obtained.
Under the heading "Documents" you will find a list of papers and reports,
some of which may be downloaded.
|
