Algebraic Driver Steering Model Parameter Identification

Modeling driver steering behavior plays an ever-important role in nowadays automotive dynamics and control applications. Especially, understanding individuals' steering characteristics enables the advanced driver assistance systems (ADAS) to adapt to particular drivers, which provides enhanced protection while mitigating human-machine conflict. Driver-adaptive ADAS requires identifying the parameters inside a driver steering model in real-time to account for driving characteristics variations caused by weather, lighting, road, or driver physiological conditions. Usually, Recursive Least Squares (RLS) and Kalman Filter (KF) are employed to update the driver steering model parameters online. However, because of their asymptotical nature, the convergence speed of the identified parameters could be slow. In contrast, this paper adopts a purely algebraic perspective to identify parameters of a driver steering model, which can achieve parameter identification within a short period. To demonstrate the effectiveness of the proposed method, we first apply synthetic driver steering data from simulation to show its superior performance over an RLS identifier in identifying constant model parameters, including feedback steering gain, feedforward steering gain, preview time, and first-order neuromuscular lag. Then, we utilize real measurement data from human subject driving simulator experiments to illustrate how the time-varying feedback and feedforward steering gains can be updated online via the algebraic method.

Dynamics and control of active sites in hierarchically nanostructured cobalt phosphide/chalcogenide-based electrocatalysts for water splitting

The structural reconstruction dynamics and the real HER/OER active species of cobalt phosphides/chalcogenides were revealed through operando XAS/Raman spectroscopy.

Conservation Laws -- a Source for Distortionless Propagation and Time Delays

Since the very first paper of J. Bernoulli in 1728, a connection exists between initial boundary value problems for hyperbolic Partial Differential Equations (PDE) in the plane (with a single space coordinate accounting for wave propagation) and some associated Functional Equations (FE). From the point of view of dynamics and control (to be specific, of dynamics for control) both type of equations generate dynamical and controlled dynamical systems. The functional equations may be difference equations (in continuous time), delay-differential (mostly of neutral type) or even integral/integro-differential. It is possible to discuss dynamics and control either for PDE or FE since both may be viewed as self contained mathematical objects. A more recent topic is control of systems displaying conservation laws. Conservation laws are described by nonlinear hyperbolic PDE belonging to the class ``lossless'' (conservative); their dynamics and control theory is well served by the associated energy integral. It is however not without interest to discuss association of some FE. Lossless implies usually distortionless propagation hence one would expect here also lumped time delays. The paper contains some illustrating applications from various fields: nuclear reactors with circulating fuel, canal flows control, overhead crane, drilling devices, without forgetting the standard classical example of the nonhomogeneous transmission lines for distortionless and lossless propagation. Specific features of the control models are discussed in connection with the control approach wherever it applies.

Dynamics and control of cereal bugs in spring barley crops in conditions of Right-bank Forrest-steppe of Ukraine

Cereal bugs can reduce the yield of cereals, worsen the quality characteristics of grain, and reduce the sowing quality of seeds with intensive reproduction and nutrition. Of all the cereal bugs, Eurygaster integriceps Put is the most damaging. According to scientists, yield loss is typically estimated at 20–30 % in barley and 50–90 % in wheat. In addition to direct crop losses, insects also inject chemicals that dramatically reduce grain quality, with chemical pest control costing over $40 million annually. The aim of the research is to reveal data on the species diversity of cereal bugs in spring barley crops in the conditions of the Uman national university of horticulture and to control their numbers in order to preserve crop yields. Accounting and observations conducted in 2017–2020, in the training and production department of Uman National University of Horticulture. Analysis of the species composition of cereal bugs allowed to clarify the diversity of their species, establish their average number and identify species that are dangerous for cultures during the study period. It was established that five species of cereal bugs which were dangerous to culture were identified from a number of Hemiptera between 2017 and 2020. Four species of cereal bugs were constantly present in the agrocenosis of spring barley – Eurygaster integriceps Put., Aelia acuminata L., Lygus rugulipennis P. and Trigonotylus coelestialium Kirk.. The most dangerous pest for the culture was the species Eurygaster integriceps Put., Which accounted for 36 %, 28 %, 27 % and 24.5 % of the total number of bedbugs, and also exceeded the rate of harmful index. The use of insecticides reduced the number of Eurygaster integriceps Put. for a two-week period after spraying. Average data for 2018–2020 show high technical efficiency at the level of 90.0–92.9 % on the 3rd day after spraying. On the 7th day after the insecticides were applied, the technical efficiency was 85–85.8 %. Application of insecticide Decis Profi 25 WG, v.g. at a rate of 0.04 kg/ha, reduced the number of pests by 82.5 % on the 14th day after spraying.

Transmission dynamics and control of Sporotrichosis in domestic felines

Sporotrichosis is a subcutaneous mycosis with a global distribution, also known as “rose gardener’s disease”. Brazil is experiencing a rapid spread of the zoonotic transmission of of Sporothrix brasiliensis, the main etiological agent of this disease in this country, affecting domestic felines. Cost-effective interventions need to be developed to control this emergent public health problem. To allow for the comparison of alternative control strategies, we propose in this paper, a mathematical model representing the transmission of S. brasiliensis among cats, stratified by age and sex. Analytical properties of the model are derived and simulations show possible strategies for reducing the endemic levels of the disease in the cat population, with a positive impact on human health. The scenarios included mass treatment of infected cats and mass implementation of contact reduction practices, such as neutering. The results indicate that mass treatment can reduce substantially the disease prevalence, and this effect is potentialized when combined with neutering or other contact-reduction interventions. On the other hand, contact-reduction methods alone are not sufficient to reduce prevalence.