We consider the situation where a non-linear physical system is identi ed from input-output data. In case no speci c physical structural knowledge about the system is available, parameterized grey-box models cannot be used. Identi cation in black box type of model structures is then the only alternative, and general approaches like neural nets, neuro-fuzzy models, etc., have to be applied. Howe...

In this study, feature extraction from a transient response of a semiconductor gas sensor is investigated. For the sensor response given as the step response of the fi rstorder lag system, the sensor output can be approximated as a sum of exponentials by Prony’s method. The model parameters can be estimated as the time constant and the gain, which are inherent parameters for each gas. The param...

Precise trajectory tracking is a crucial property for Micro Air Vehicles (MAVs) to operate in cluttered environment or under disturbances. In this paper we present a detailed comparison between two state-of-the-art model-based control techniques for MAV trajectory tracking. A classical Linear Model Predictive Controller (LMPC) is presented and compared against a more advanced Nonlinear Model Pr...

This paper proposes efficient step response model implementation strategies that lead to accurate control and high computational performance in an embedded Model Predictive Control (MPC) scheme. Different implementations of the step response prediction model are examined, and inherent properties that directly affect control performance in the presence of disturbances are discussed. Model errors...

This paper deals with the control of the heat exchangers. Due to the resonant effect on this systems, simplified lumped parameters models obtained from the step response can be not enough appropriate to controller design if high performance is required. To design the control, instead of looking for a precise heat exchanger model obtained through complex experiments and sophisticated parameter e...

Abstract: The medical irrigation pump is a common medical device for cleaning the wound in the surgery. A thermostatic irrigation pump with a PID (proportional-integral-derivative) controller was designed to provide warm solution nearing the body core temperature for surgical irrigation. Firstly, an experiment was designed to obtain the step response curve, so as to derive the mathematical mode...

The magnitude optimum (MO) technique provides non-oscillatory closed-loop response for a large class of process models. However, this technique is based on an accurate model which requires precise process identification and extensive computations. In the present lecture, it is shown that there exists a close relation between multiple integrations of the process step response and the MO criterio...

This paper presents new tuning rules for PI and fractional PI control of processes that are typically found in process control. The rules are based on characterization of process dynamics by three parameters that can be obtained from a simple step response experiment. The rules are obtained by minimizing a frequency objective function subject to a constraint on the maximum sensitivity. Comparis...

A theory is presented which describes the transient current response to a potential step at a wall-jet electrode, thus defining the “response time” of the electrode. Results are given in the form of a normalized transient as a function of a dimensionless time parameter which permits the analysis of experimental data for electrodes of any geometry and for any solution flow rate.

The magnitude optimum multiple integration (MOMI) tuning method for the PID controllers provides nonoscillatory closed-loop response for a large class of process models. However, one must account for certain additional obstacles that have to be overcome to enable application of the method in practice. A few practical guidelines for performing multiple integrations (MI) from the process step res...