A New Concept Reaching the Best Achievable Control by Decomposing the Sensitivity Function - Part 1

Prof. L. Keviczky
Department of Automation and Applied Informatics, Budapest University of Technology, and Economics (BUTE) and Computer and Automation Research Institute (CARI) of the Hungarian Academy of Sciences (HAS)

In optimization theories the difference (distance) between the optimal and actual case is called loss. These set of talks introduces a new theory which provides a new platform for control system optimization. This concept is based on a special decomposition of the sensitivity function of a closed-loop, defined as S=1/(1+CP), which makes possible to reformulate the classical paradigm: which is the best achievable control? Here C is the controller and P is the process.

The three decomposed parts are the design loss, the realizability loss and the modeling loss.

In the theoretical optimal case the sensitivity function is zero, which can never be reached. The decomposition helps to formulate the optimization of the contributing losses independently. The special new decomposition gives a possibility to optimize the three parts separately, but unfortunately not independently, because these components are not orthogonal. Therefore, always some iterative solution can be applied and the properties of the three parts must be investigated separately.

The talk will be given in English

Sun, 10-05-2015, 11:30 (Gathering at 11:00)

Classroom 165, ground floor, Library, Aerospace Eng.

Light refreshments will be served before the lecture


A New Concept Reaching the Best Achievable Control by Decomposing the Sensitivity Function – Part 1