No abstract

No abstract

With the increasing availability of robots and image processing systems, the automated robotic line implementations are still extensively increasing. As well, the complexity of these systems increases, which increases the demands on the determination of their function and possible analysis. For these purposes the complex robotic systems are modeled. Here, the Coloured Petri Nets were used to model the robotic sorting line. Specifically, the CPN Tools software was used to model creation, simulation, analysis and to made experiments. State space analysis was done to revelation of possible unwanted deadlocks. Furthermore, the sorting line model was used to found out the maximum number of objects that can be sorted in a defined time. As the robot manipulation time directly affects maximum number of objects in one batch, the timing procedure was created to declare robot operation dependency on types of manipulated object. The state space analysis showed that there are no unwanted deadlocks in the system. The model has been verified and declared as correct. Optimal composition and order of objects was successfully found by timed coloured Petri nets experiments.

In the paper the studies of the controller design of active driver's seat are presented. The driver seat with the air spring as the actuator is described as nonlinear lumped system with transportation delay. The linearization of this nonlinear dynamic system is used for discrete linear state space controller design. The behavior of this controller with linear continuous estimator of nonlinear system has been verified in the laboratory.

Growth modelling is of interest to scientists in various disciplines. In our article, we will collect 17 models designed for growth modelling, appraise these models and contribute to the discussion of their applicability. The merit of the paper lies in studying the convergence properties of nonlinear regression in selected models. Our studies will be performed mainly concerning the quality of the obtained estimates, which are closely related to the intrinsic curvature of the model according to Bates and Watts. This curvature determines the size of the linearization domains. Only if the initial solution is in this domain, then the convergence of the estimate in nonlinear regression is guaranteed. The primary goal is to design a methodology for selecting a growth model. We will demonstrate fruitfulness of our methodology on the weight measurements of 10 calves under 25 months of age from cowsheds in the village Záluží in the Czech Republic. Estimated parameters of growth curves, sizes of linearization domain, calculated residues and coefficients of determination indices will be the subject of discussion.