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In traditional CNC systems, each segment of a piecewise linear trajectory is described by a separate block of the control program. In this case, a trapezoidal trajectory of movement is formed, and the stitching of individual sections is carried out at zero values of speed and acceleration. Increased productivity is associated with continuous processing, which in modern CNC systems is achieved through the use of spline interpolation. For a piecewise linear trajectory, which is basic for most products, the most appropriate is a first-degree spline. However, even in the simplest case of spline interpolation, the closed nature of the basic software from leading manufacturers of CNC systems limits the capabilities of not only developers, but also users. Taking this into account, the purpose of this work is a detailed study of the structural organization and operation algorithms of the simulation model of piecewise linear spline interpolation. Limitations on jerk and acceleration are considered as the main measure to reduce dynamic processing errors. In this case, special attention is paid to the S-shaped shape of the speed curve in the acceleration and deceleration sections. This is due to the conditions for the implementation of spline interpolation, one of which is the continuity of movement, which is ensured by the equality of the first and second derivatives when joining sections of the trajectory. Such a statement corresponds to the principles of implementing combined control systems of a servo electric drive, which provide partial invariance to control and disturbing effects. The reference model of a spline interpolator is adopted as the basis of the structural organization. The issues of processing scaling, which are based on a decrease in the vector speed in relation to the base value, are also considered. This allows increasing the accuracy of movements. It is shown that the range of changes in the speed of movements can be more than ten thousand, and is limited only by the speed control capabilities of the actuators.

In this paper, we consider the interaction of a kink of the $\varphi^4$ equation with two identical extended impurities. An extended impurity is described using a rectangular function. The case of an attractive impurity is analyzed. Using analytical methods, we consider the case of small amplitudes of localized waves, when it is possible to linearize the equations of motion. For the numerical solution, the method of lines for partial differential equations was used. To find the oscillation frequencies of waves localized on impurities, the discrete Fourier transform is used. The kink was launched in the direction of the impurities with different initial velocities. The distance between the two impurities was also varied. It is shown that when a kink interacts with impurities, long-lived localized breather-type waves are excited on them. Their structure and coupled dynamics are investigated. It is determined how, by changing the parameters of the impurities and the distance between them, it is possible to control the type and dynamic parameters of the coupled oscillations of the waves localized on the impurities. Possible solutions in the form of in-phase, antiphase oscillations, in the form of beats are found. The oscillations of localized waves occur with the emission of small-amplitude waves. The spectrum of these emissions consists of two frequencies. The first is approximately equal to $\sqrt{2}$, which corresponds to the frequency value for the wobbling breather tail of the $\varphi^4$ equation. The second is approximately equal to the doubled frequency of impurity mode oscillations. The presence of two possible frequencies for coupled localized oscillations is found both analytically and numerically. It is shown that the frequencies strongly depend on the distance between impurities. With increasing distance between impurities, the frequencies merge into one — frequency obtained for the case of a single impurity. The dependences of the frequencies on the distance between impurities found numerically and analytically coincide well for large distances, when the interaction between impurities is weak, and begin to differ noticeably at small distances, when the interaction between impurities is strong. The analytical value of the obtained frequencies is always greater than the numerical ones. It is shown that the dependence of the amplitude of localized waves on the initial kink velocity has several minima and maxima.

The mathematical model for aeroelastic oscillations of a narrow channel wall with a nonlinear-elastic suspension and interacting with a pulsating viscous gas layer is proposed. Within the framework of this model, the aeroelastic response of the channel wall and its phase response were determined and investigated. The authors simultaneously studied the influence of the nonlinear stiffness elastic suspension of the wall, compressibility and dissipative properties of gas, as well as the inertia of its motion on the wall oscillations. The model was elaborated based on the formulation and solution of the initial boundary-value plane problem of mathematical physics. The problem governing equations include the equations of dynamics for barotropic viscous gas, equation of dynamics for the rigid wall as the spring-mass nonlinear oscillator. Using the perturbation method, the asymptotic analysis of the problem was carried out. The solution of the equations of dynamics for the thin layer of viscous gas was obtained by the iteration method. As a result, the law of gas pressure distribution in the channel was determined and the initial problem of aeroelasticity was reduced to the study of the generalized Duffing equation. Its solution was realized by the harmonic balance method, which allowed us to determine the aeroelastic and phase responses of the channel wall in the form of implicit functions. The numerical study of these responses was carried out to evaluate the influence for inertia of gas motion and its compressibility, as well as a comparison of the results obtained with the special cases of creeping motion of viscous gas and incompressible viscous fluid. The results of this study have shown the importance of simultaneous consideration of compressibility and inertia of viscous gas motion when modeling aeroelastic oscillations of the considered channel wall.

This study develops a previously proposed Method of Computer Analogy (MCA) based on formalization of digital computer operations. The paper discusses the position of the proposed approach among other well-known methods. It is emphasized that the primary objective is to derive analytical solutions, although in some cases they have to resort to semianalytical approximations. The paper focuses on constructing solutions for systems which, for certain parameter values, demonstrate the deterministic chaos behavior, namely Lorenz, Marioka – Shimitsu and R¨ossler systems. The paper also considers obtaining solution for Van der Pol equation (reduced to a nonlinear system). The aim of the study is to construct semi-analytical solutions represented as a segment of a power series in a step size of approximating difference scheme. To prevent overflow, authors formalize rank transfer operation. The authors apply a convergent difference scheme, referred to as the “guiding” scheme, to advance to the next step of the independent variable. The resulting approximation by a sum with only a few terms provides an approximation to the solution with any accuracy in accordance with the accuracy of the governing difference scheme. The senior digits in the resulting approximation exhibit probabilistic properties that can be modeled by known distributions, thereby enabling the derivation of analytical and semi-analytical approximations. The paper presents linear approximations that are the base for a complete approximations of solutions and provide important qualitative as well as some quantitative properties of solutions of considered systems. This work describes approximations of various orders, including those that do not guarantee convergence to the exact solution, but simplify the analysis of certain properties of nonlinear equations and systems. In particular, for the Van der Pol equation, authors demonstrate that its corresponding system has a cyclic solution and provide an estimate of its scale. A modification of the MCA that has features of the Monte Carlo method makes it possible to remove recurrent sequences and construct complete solutions in simple situations. The authors mention a promising approach for representing the solution using branched continued fractions.

The objective of this article is to develop a model for a realistic description of a mixed flow of two types of vehicles (cars and trucks) on multi-lane highways, taking into account differences not only in the technical characteristics of vehicles (dimensions, maximum speed), but also differences in driving strategies. The article includes a literature review, including publications of recent years, confirming the relevance of modeling heterogeneous traffic flows.

The new model takes into account that trucks have a lower maximum speed compared to cars and are slower to start. They are less maneuverable, so it is more difficult for them to change lanes. In addition, the movement of trucks can be regulated by some restrictive rules, for example, a ban on driving in left lanes.

The model is based on the cellular automata theory, which allows for a comprehensive description of the features of individual flow components. At each time step, the state of the automaton cells is updated in two stages — changing lanes and moving forward. The algorithms of both substeps for cars and trucks differ. Each vehicle is assigned a number of parameters: vehicle type, length, maximum speed, lane change strategy, in-lane movement strategy.

The model is implemented as a software package that allows simulating traffic on various sections of the road network — intersections, sections with narrowing and widening of the road, entrances and exits from the highway. In this work, a road section with a varying number of lanes and a straight multi-lane section with a virtual detector were selected for testing the model. The results are presented in the form of local speed-density and flow-density diagrams, as well as spatiotemporal speed diagrams.

To test the model, a number of problems with different percentages of passenger cars and trucks are solved, which allows demonstrating a drop in the capacity of elements of the road network with an increase in the share of trucks in the flow. The cases of uniform distribution by lanes and the restriction to the right lane for trucks are simulated. The positive effect of introducing a ban on the movement of trucks in left lanes on a multi-lane highway is illustrated.

Monte Carlo (MC) reinforcement learning suffers from high sample complexity, especially in environments with sparse rewards, large state spaces, and strongly correlated trajectories that reduce the statistical efficiency of return estimation. These well-known limitations often lead to slow convergence and unstable learning dynamics, particularly in settings where only a small fraction of collected trajectories is actually informative for policy improvement. A key challenge is therefore to identify a compact yet diverse subset of episodes that contributes most to the accuracy of value estimates while preserving sufficient exploration of the environment. To address this challenge, we reformulate episode selection as a Quadratic Unconstrained Binary Optimization (QUBO) problem and solve it using quantum-inspired sampling techniques. Our method, MC+ QUBO, inserts a combinatorial filtering step into the standard MC policy-evaluation pipeline: given a batch of trajectories, it selects a subset that maximizes cumulative reward and encourages broad state-space coverage. This selection procedure is expressed as a QUBO model, where linear terms favor high-return episodes, quadratic terms penalize redundancy between trajectories, and additional coupling terms can be used to enforce coverage-related constraints or promote structural diversity. Within this framework, we investigate two black-box QUBO solvers: Simulated Quantum Annealing (SQA), which emulates tunneling-based exploration of the search landscape, and Simulated Bifurcation (SB), a dynamical-systems-based iterative optimization method. Both solvers demonstrate the ability to efficiently navigate the combinatorial structure of the trajectory-selection problem and to handle batch sizes that are otherwise computationally expensive for exhaustive or deterministic search. Experiments in a finite-horizon GridWorld environment show that MC+QUBO consistently outperforms vanilla MC in convergence speed, stability of return estimates, and final policy quality. These results highlight the promise of quantum-inspired optimization as a practical decision-making subroutine within reinforcement-learning algorithms, offering a scalable way to improve sample efficiency without modifying the underlying learning paradigm.

Solving the problem of stationary stream distribution for an arbitrary volume-free hydrosystem with a free level can be reduced to determining the extremes of a multi-variable function. Rayleigh function expressed in terms of the hydraulic characteristics of the parts of the system in question is used as such a function. The same function is Lyapunov function when analyzing the stability of the determined stationary operational modes of a hydrosystem using the direct Lyapunov method.

A mathematical model of predator – prey microecosystem with lower critical population number of prey is considered. The predator – prey system is assumed to be under harvesting. Harvesting intensity variations generate changes in two model parameters which are considered as controllable. Bifurcation diagram in control-lable parameters plane is constructed and corresponding phase portraits are represented.

Main theoretical considerations of dynamical changes of forest vegetation are discussed. It is shown that vegetation dynamics (succession) and soil dynamics are linked, and common dynamics is a result of biological turnover of nutrition elements. Main modelling approaches are examined and unsolved problems are formulated. An example of computer experiment on comparison of forest growth at stationary and global warming scenario is considered.

In this paper a numerical model for blood flow through a venous bifurcation with an obliterating clot is investigated. We studied propagation of perturbations of blood flow velocity and perturbations of pressure inside the vein. The model is built in acoustic (linear) approximation. Computational results reveal conditions for clot resonance oscillation, which can cause its detachment and thromboembolism.