Control systems laboratory

Research activity description


You can see something from the list following by clicking on the appropriate word each time:

Back to CSD Page
The current research activities of the staff of the Control Systems Laboratory (CSL) cover many areas of system theory and control design methods, which may be grouped into research areas, as follows:

Structural properties of linear and nonlinear control systems: New methods concerning the structural properties of linear and nonlinear systems, such as state realization, controllability, observability, invertibility e.t.c. for both continuous and discrete systems, are developed. These efforts have already given excellent results for the case of singular systems. Recently, a similar effort has been undertaken on extending these results to time-delay, time varying and nonlinear systems.

Multivariable control system analysis and design: New state and output feedback design methods for linear, time-invariant multivariable systems for both regular and singular systems have recently been developed. Important problems such as pole assignment, diagonal decoupling, triangular decoupling, model matching, disturbance rejection, state observers, e.t.c. have successfully been formulated and solved on a completely new basis, giving new important results. Current research interest focuses on extending these results to time-varying, time-delay, nonlinear, multidimensional, large scale, hierarchical and other types of systems.

Dynamical system modelling, state estimation and identification: Research activities in these disciplines have been concentrated on both regular and singular systems using orthogonal series. Current research covers the areas of time-delay and nonlinear systems. In all cases the solution of the problem is reduced to that of solving a system of algebraic equations.

Adaptive, self-tuning and robust control: The area of computer controlled systems has long been pursued with considerable results for the case of state and output feedback design of SISO and MIMO systems. Current research interest covers the design of adaptive, self-tuning and robust regulators for multivariable systems. The first results on multirate adaptive and H optimized regulators for the decoupling and model matching of multivariable systems have been established.

Expert, neural and fuzzy controllers : Current research focuses on expert, neural and fuzzy control techniques. These techniques will complement all previous research efforts in establishing an integrated CIM environment.

Applications and cooperation with industry: Several control research and development projects have been completed, while some are currently under investigation, in cooperation with the following Greek industrial plans:

i)Herakles General Cement Company (partially funded by the General Secretariat for Research and Technology of the Greek Ministry of Industry, Research and Technology).

ii)Aluminium of Greece.

iii)SlEMENS A.E.

iv)Greek Steel Industry.

The above research and development projects are carried out mainly by graduate students. This way, a cooperation is established between NTUA and Greek industry. This cooperation offers the graduate students the opportunity to carry out applications oriented PhD theses.


You can see something from the list following by clicking on the appropriate word each time:


Back to CSD Page