신호처리 및 제어 연구실

신호처리 및 제어 연구실은 1996년부터 설립되어 운영되고 있습니다. 현재 제어, 추정, 신호 처리 분야에 응용되는 convex optimization 이론에 중점을 두고 연구를 진행하고 있으며, 여러 기업과 함께 과제 또한 수행하고 있습니다. 연구 분야 및 기업 과제에 관한 자세한 소개는 각각 Research area 및 Project 섹션을 참고 부탁드립니다. From [Chandrasekharan, P., C., Robust Control of Linear Dynamical Systems, Academic Press, 1996.], “Robust control refers to the control of unknown plants with unknown dynamics subject to unknown disturbances”. Clearly, the key issue with robust control systems is uncertainty and how the control system can deal with this problem. Figure 2 shows an expanded view of the simple control loop presented earlier. Uncertainty is shown entering the system in three places. There is uncertainty in the model of the plant. There are disturbances that occur in the plant system. Also there is noise which is read on the sensor inputs. Each of these uncertainties can have an additive or multiplicative component. The figure above also shows the separation of the computer control system with that of the plant. It is important to understand that the control system designer has little control of the uncertainty in the plant. The designer creates a control system that is based on a model of the plant. However, the implemented control system must interact with the actual plant, not the model of the plant. Time delays are inevitable phenomenon in the practical systems and they result in performance degradation and system instability. Therefore, stability analysis of time delay systems has attracted considerable attention in recent decades. The main purpose of stability analysis of time delay systems is to obtain maximum delay bound that ensures the asymptotic stability for the concerned systems. For the stability analysis of time delay systems, the Lyapunov-Krasovskii functional (LKF) method