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Electrical and Computer Engineering Department

Control Systems Research


General areas of research interest include control systems theory, sampled-data control, system modeling and simulation, model reduction, spatially distributed systems, nonlinear systems, optimal control, decentralized control and robust control.

Faculty and graduate research projects include:
Control system analysis, design, simulation, and algorithms
Model order reduction of large-scale systems
Real-time industrial control
Fuzzy/neuro-fuzzy logic control
Reliable control systems
Robustness error bound calculations in model development
Control of Tilting-pad journal bearing systems for rotating machinery
Nonlinear systems and chaos
Spatially distributed systems
Fractional order systems
System simulation and modeling
Battery modeling



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