Large-Scale Dynamic Systems
This project involves fundamental research on the modeling, control, and
optimization of large-scale systems, that is, systems formed as interconnections
of numerous subsystems. Examples of such systems include large energy models,
large power generation and distribution systems, intelligent vehicle highway
systems (IVHS), dynamic models of national economies, and large flexible
space structures, such as space stations. This study encompasses both linear
and nonlinear models, deterministic and stochastic systems with external
and internal uncertainty, systems with weak spatial and weak or strong
informational links, and dynamic decision models with multiple criteria.
The ultimate goal is the development of new and effective methodologies
for robust identification and control, stabilization, and optimization
of such systems in the presence of static as well as dynamic uncertainty,
and their analysis using the concepts of multimodeling, decomposition and
aggregation.