Complex Dynamic Objects Research Articles

Investigation of the Controlled Electrotechnical Complex of a Flow Line by Means of Fuzzy Cognitive Maps

The possibility of using fuzzy cognitive maps in the operation of the production line for the fabrication of space-filling nonwoven fabric is considered. A technique of cognitive simulation of complex dynamical objects is determined and a list of concepts that characterize the state of the flow line is presented. Modernization of the electrotechnical complex with the use of a multi-motor electric drive is proposed based on an analysis and simulation of a cognitive map. A dependence of the quality of the weave produced by a combing machine on the speed and linear density of the fibers is found. The problem of impacts against the machine case when the direction of travel of the carriages changes is solved through the use of separate electric motors that assure smooth and independent control.

Intelligent control system for continuous technological process of alkylation

Relevance of intelligent control for complex dynamic objects and processes are shown in this paper. The model of a virtual analyzer based on a neural network is proposed. Comparative analysis of mathematical models implemented in MathLab software showed that the most effective from the point of view of the reproducibility of the result is the model with seven neurons in the hidden layer, the training of which was performed using the method of scaled coupled gradients. Comparison of the data from the laboratory analysis and the theoretical model are showed that the root-mean-square error does not exceed 3.5, and the calculated value of the correlation coefficient corresponds to a "strong" connection between the values.

On the Selection of a Control Law for Multiply Connected Inertial Objects

A comparative analysis of the control law applied to complex dynamic objects that exhibit drift and lag is performed. The selection of a proportional–integral–derivative control law based on transient processes with optimum performance indicators is evaluated. An estimate of the external disturbances of the system is given and the advantage of the selection arrived at is proved.

Algorithms for estimating the motion of a spacecraft from its state data

Control of processing processes on the state of the spacecraft (SC) is represented by schemes of the invariant control loop of a complex dynamic object. Based on the analysis of the algorithms for estimating the parameters of the translational motion of an aircraft (LA), based on the results of external trajectory measurements, an iterative Gauss-Newton procedure is formulated that implements the approach of directly finding the extremal point of the response surface described by a multidimensional function. Applied to the problem of estimating the initial conditions of motion of an aircraft. The features of the implementation of the algorithm for estimating the initial conditions of the orbital motion of the apparatus based on the method of least squares are investigated.

Интеллектуализация управленческих функций дежурного по станции

The railway transport network is a complex dynamic object, the management of which is impossible without automated information systems. Information systems today are not just means of supporting management, but the main elements of the railway transport infrastructure. A high level of requirements for the efficiency of rail traffic management determines the need for the development of “smart” (intelligent) transport information systems. Intellectual systems, using the expert knowledge incorporated in it, will generate management solutions optimal for a particular technological situation and offer them to the user's choice.The article details the functional capabilities of an automated work station for the station operator (AWS SO). On the example of a hostile situation, a minimal set of parameters is listed, which should promptly evaluate the SO for making an optimal management decision.The necessity of developing the intellectual capabilities of station systems is justified. A number of technological responsibilities for SO are identified that require quality management tips (solutions) from information systems. Some principles and methods for constructing intelligent systems for controlling the operational work of stations are considered. Intellectualization of control systems of station processes will allow reducing production losses and improving the efficiency of the functioning of railway stations.

Controllability of Complex Dynamic Objects

Quality requirements for mobile robots intended for both specialized and everyday use are increasing in step with the complexity of the technological tasks assigned to the robots. Whether a mobile robot is for ground, aerial, or underwater use, the relevant quality characteristics can be summarized under the common concept of agility. This term denotes the object’s (the robot)’s ability to react quickly to control actions (change speed and direction), turn in a limited area, etc. When using this approach in integrated assessment of the quality characteristics of an object with the control system, it seems more constructive to use the term “degree of control”. This paper assesses the degree of control by an example of a mobile robot with the variable-geometry drive wheel axle. We show changes in the degree of control depending on the robot’s configuration, and results illustrated by calculation data, computer and practical experiments. We describe the prospects of using intelligent technology for efficient control of objects with a high degree of controllability.

Determining the Conditions and Designing the Methods for Description of Processes in Complex Dynamic Objects by Equivalent Models not Higher than the Third-Order

Determining the Conditions and Designing the Methods for Description of Processes in Complex Dynamic Objects by Equivalent Models not Higher than the Third-Order

The mathematical model and the method of optimal stochastic control over the modes of the water main operation

The study is devoted to the problem of increasing the efficiency of water mains in the present circumstances of transition to the three-band electricity tariffs. We have devised a new class of optimal stochastic discrete-time control over complex dynamic objects that is distinguished by additional extreme and probabilistic constraints on the phase variables. The suggested mathematical formulation of the optimal stochastic control over the modes of the water main has probabilistic constraints on the phase variables. We have also proposed a new strategy for the optimal stochastic control over the modes of the water main. The strategy takes into account the specific features of the water main as an object of stochastic control that operates in a stochastic environment, which allowed devising an effective method to solve the problem. It is shown that transition from the classic deterministic tasks of control over the modes of water mains to stochastic problems ensures a much lower (up to 9 %) electricity cost.

Synthesis of active compensation system of spring oscillation in two–mass electromechanical object

The paper deals with the synthesis of the precision active compensation system of spring oscillation in the vehicle suspension. The main objective was to develop a method of synthesis of discontinuous control systems of complex dynamic objects, the dynamics of which is generally chaotic. Using the feedback linearization principle for such systems allows to simplify the control object motion equations by eliminating zero dynamics components, and reduce the motion equations of the simplified object to the Brunovsky form. Unlike the classical feedback linearization, indicated conversions are performed automatically using a specially formed discontinuous control action, the amplitude of which depends on the control object state variables. In the synthesized control system, the controller, forming the control action, along with the considered dynamic object generates an internal motion speed control loop of the sprung mass in the vertical direction and is part of the outer position control loop. To improve the performance of the synthesized system, the position control algorithm has a non-linear switching line, which is determined from the conditions of achieving an aperiodic transient process in the system with variable gain. Using the proposed method is illustrated by the results of the numerical investigation of the synthesized control system. The above material can be useful for experts in the field of electromechanical automation systems and control systems of dynamic objects.

Use of Neural-Network Technology to Develop and Study a Controllable Electrotechnical Complex for Making Synthetic Filaments and Nonwovens

The main problems encountered in attempting to optimize the control of electrotechnical complexes used to make nonwovens are identified. The dynamic characteristics of a dual-channel system for controlling the transport and winding of nonwovens are examined on a “Reicofil” unit with allowance for the deformation properties of the fibrous product. The article also presents the main principles behind the planning and design of complex dynamic objects with the use of neural networks.

Белорусская национальная философия: опыт генеалогии предмета

The article advocates the application of the «theoretical philosophy» or meta-theory as an integrated methodology for the analysis of philosophical structures of diverse complexity. With this view it makes an attempt to reconstruct (on the example of Belarus) the genealogy of the subject of national philosophy as a complex and multifaceted dynamic object. It is pro-posed to consider the national philosophy of Belarus in three ways. First, it is the totality of the works of the philosophers who lived and worked in the territory of the contemporary Belarus. Secondly, it is the reflection on the destiny of this country. Thirdly, it is the history of the phi-losophy of Belarus as a scientific discipline. In the last narrow sense, the national philosophy is the structured (in many aspects artificially) discourse of the philosophical development of Belarus. The most important components of the national historical and philosophical process’ meta-theory are (1) the grasp of its essence, (2) the understanding of the structure, (3) the ge-neralization of practices and (4) the conceptual description of the process of the development of the national spirit.

STRUCTURING OF THE KNOWLEDGE BASE STRUCTURING KNOWLEDGE BASE IN THE ENVIRONMENT AVIATION EXPLOITED OF A DECISION SUPPORT SYSTEM

The necessity of applying a conceptual approach to methods of forming a knowledge base that provides the automated diagnosis and decision support system for the staff in the regular operation of a typical complex dynamic aviation object.

Technical solutions for optimum control of complex dynamic objects in the production of nonwovens

The problem of improving the quality indices of nonwovens is examined and is solved by optimizing control of the speed regimes of the electromechanical systems used in their production. The use of a multi-motor electric drive in combination with monitoring of the physico-mechanical properties of the fibrous product during the various conversions makes it possible to correct the speed regimes of the machines in the flow line. The authors construct and analyze a functional model of a modernized control system for an automated line designed for the production of bulk nonwovens. Technical solutions for optimizing control of the complex’s high-speed operating regimes are presented to illustrate the use of the model.

Classification of telemetric signals and their spectral density estimation with the help of wavelets

The present paper is concerned with a new technique intended for the spectral density estimation of telemetric signals with the help of the wavelet transform. We briefly revise basic information on classical spectral estimates based on the calculation of non-modified and modified Fourier periodogram and estimates obtained via parametric modeling (autoregressive, etc.). The main problems that arise when applying the estimates mentioned are given and the ways of their solution are offered. We introduce a new approach with the use of the wavelet transform and wavelet-thresholding of detailed coefficients in the decomposition. The new approach was tried on various telemetric data reflecting the functioning process of complex dynamic objects (slowly and fast changing signals). As a result the advantages of a newly developed technique become vivid and obvious: greater accuracy and smoothness of a final spectral estimate.

Mathematical forulation of the problem of controlling complex dynamic objects for the production of nonwovens

The main stages in the process of formalizing and mathematically describing the dynamic regimes of energy-intensive electromechanical systems are determined. Optimality criteria are proposed to reflect specific features of certain machines used in the production of chemical fibers and filaments. A classification is presented for optimization problems and methods of solving them. The maximum principle is used as a basis for solving static and dynamic problems involving optimization of the speed regimes of energy-intensive equipment used to make nonwovens. The problems are solved with allowance for constraints on the parameters of the given system.

Application of a Data Mining approach to the processing of telemetric signals

The present paper deals with the implementation of intellectual technologies, which allow us to extract new knowledge from raw data by means of segmentation, clustering, classification and other Data Mining approaches with the purpose of analyzing the functioning of different complex dynamic objects in the presence of contaminating noise, outliers, and missing values.

New techniques for the processing and analysis of telemetry and trajectory information on the basis of achievements in the realm of time-frequency analysis and wavelet theory

The present paper is concerned with the issues of processing telemetry and trajectory measurements obtained as a result of complex systems functioning. We illustrate the concept "complex systems" with the help of complex dynamic objects. The methods of processing which are introduced in the following are based on the most advanced and updated techniques in the areas of time-frequency analysis, wavelet theory, and other adaptive approaches. Special attention is drawn to the problem of signal preprocessing, which is always crucial in practice.

Sound synthesis and musical composition with the physical modeling formalism Cordis-Anima

The two historical starting points of Computer Music, in 1957, were digital sound synthesis, founded by Max Mathews (Bell Labs), and automatic composition, founded by Lejaren Hiller and Leonard Isaacson (University of Illinois). Digital sound synthesis and computer aided musical composition then developed and are today essential components of computer music. As said by Jean-Claude Risset, sound synthesis allowed to compose the sound itself. At the end of the 1970s, a new paradigm appeared, no more based on the synthesis of the sound signal, but on the simulation of the physical objects that produce the sound. The Cordis-anima language, created by Claude Cadoz and his colleagues Annie Luciani and Jean-Loup Florens at the ACROE lab, in Grenoble (France), is one of the most important representatives of this approach. We will present this language, which allows simulating the various components of a musical instrument, but also complex orchestras and dynamic objects with macro temporal behaviors. We will then demonstrate how this language enables linking sound creation and musical composition within a single and global paradigm using the GENESIS environment, created at ACROE for musical applications of Cordis-anima, and we will play extracts of musical pieces composed with GENESIS.

A method for recognizing and evaluating states of weakly formalized dynamic object based on labeling a time series

The problem of recognizing states of a complex dynamic object given by a stochastic time series is considered. A method of labeling a series and an algorithm implementing it are given. Conditions for existence of a correct solution are presented. Results of program simulation and solution of an applied problem are given.

Spectral density estimation of telemetric data by means of a wavelet-based approach

The present paper is concerned with a new technique intended for the spectral density estimation of telemetric signals with the help of the wavelet transform. We briefly revise basic information on classical spectral estimates based on the calculation of non-modified and modified Fourier periodogram and estimates obtained via parametric modeling (autoregressive, etc.). The main problems that arise when applying the estimates mentioned are given and the ways of their solution are offered. We introduce a new approach with the use of the wavelet transform and wavelet-thresholding of detailed coefficients in the decomposition. The new approach was tried on various telemetric data reflecting the functioning process of complex dynamic objects (slowly and fast changing signals). As a result the advantages of a newly developed technique become vivid and obvious: greater accuracy and smoothness of a final spectral estimate.