State space based nonlinear model predictive control (NMPC) needs the state for the prediction of the system behavior. Unfortunately, for most applications, not all states are directly measurable. To recover the unmeasured states, typically a stable state observer is used. However, this implies that the stability of the closed-loop should be examined carefully, since no general nonlinear separa...

The surgical strategy in patients with myasthenia gravis (MG) is influenced by the suspicion of thymoma based on mediastinal imaging. Aim of this retrospective study was to analyse the accuracy of CT of the mediastinum in predicting the histological findings in patients with MG referred for thymectomy. Thirty-four CT-scans of MG patients referred for thymectomy between October 1989 and October ...

This paper develops a new design method for predictive repetitive control systems to track periodic reference signals or reject disturbances with bandlimited frequency content. In the presence of input disturbances acting on the system, the new design estimates these disturbances using an observer. This approach is complementary to the predictive repetitive control system designs previously rep...

Although distributed model predictive control has caused significant attention and received many good results, the results are mostly under the assumption that the system states can be observed. However, the states are difficult to be observed in practice. In this paper, a novel distributed model predictive control is proposed based on state observer for a kind of linear discrete-time systems w...

The work presented in this paper exploits the transport characteristic of a solar plant where the transport velocity (a flow) is the manipulated variable, i.e. the control input. The solar field is modelled by a partial differential equation. A non-uniform sampling in time is performed in order to obtain a discrete linear model. Due to the transport dynamics of the plant the resulting transfer ...

This article proposes a model predictive control (MPC) for trajectory tracking of microrobot in 2D fluidic environment. The reference is generated using joystick device and it estimated Luenberger observer. Assuming that the position measured, objective to design an observer-based MPC capable track by device. To optimize control, we have introduced quadratic criterion where these parameters are...

The application of model predictive control (MPC) algorithm in the fixed phase marine diesel engine speed is studied under premise considering mismatch and external disturbance. Firstly, steady-state error problem conventional MPC controller solved by changing nonlinear to incremental form. Furthermore, discrete disturbance observer (DO) introduced feedback correction, which can filter out high...

In this paper a novel method is proposed for construction of an exponential observer for nonlinear system. The presented method is based on direct solution of dynamic error without any linearzing of nonlinear terms. Necessary and sufficient conditions for construction of direct observer are presented. Stability of the observer is checked using Lyapunov theorem. Also the ability of this observer...