Probabilistic Modeling, Estimation and Control for CALS Organization-Technical-Economic Systems

Sinitsyn, I. N.; Shalamov, Anatoly

doi:10.5772/intechopen.88025

Cited by 2 publications

(6 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [18,20] theoretical propositions of new probabilistic methodology of analysis, modeling, estimation, and control in stochastic organizational-technical-economical systems (OTES) based on stochastic CALS informational technologies (IT) are considered. Stochastic integrated logistic support (ILS) of OTES modeling life cycle (LC), stochastic optimal of current state estimation in stochastic media defined by…”

Section: Ellipsoidal Pugachev Conditionally Optimal Continuous Controlmentioning

confidence: 99%

Development of Ellipsoidal Analysis and Filtering Methods for Nonlinear Control Stochastic Systems

Sinitsyn¹,

Синицын²,

Korepanov³

2021

Automation and Control

View full text Add to dashboard Cite

The methods of the control stochastic systems (CStS) research based on the parametrization of the distributions permit to design practically simple software tools. These methods give the rapid increase of the number of equations for the moments, the semiinvariants, coefficients of the truncated orthogonal expansions of the state vector Y, and the maximal order of the moments involved. For structural parametrization of the probability (normalized and nonnormalized) densities, we shall apply the ellipsoidal densities. A normal distribution has an ellipsoidal structure. The distinctive characteristics of such distributions consist in the fact that their densities are the functions of positively determined quadratic form of the centered state vector. Ellipsoidal approximation method (EAM) cardinally reduces the number of parameters. For ellipsoidal linearization method (ELM), the number of equations coincides with normal approximation method (NAM). The development of EAM (ELM) for CStS analysis and CStS filtering are considered. Based on nonnormalized densities, new types of filters are designed. The theory of ellipsoidal Pugachev conditionally optimal control is presented. Basic applications are considered.

show abstract

Section: Ellipsoidal Pugachev Conditionally Optimal Continuous Controlmentioning

confidence: 99%

Development of Ellipsoidal Analysis and Filtering Methods for Nonlinear Control Stochastic Systems

Sinitsyn¹,

Синицын²,

Korepanov³

2021

Automation and Control

View full text Add to dashboard Cite

show abstract

“…( 4) and of the corresponding stochastic differential Eq. ( 3) or (5) with the initial condition Xt 0 ðÞ ¼ X 0 . If the integrals in Eq.…”

Section: Continuous Stsmentioning

confidence: 99%

“…Analogously in personal LC subsystems final production systems being categories of personal with typical works and separate specialists with common works. In [1,2] it is presented methodology of personal structuration according to categories, typical processes graphs providing necessary professional level and healthy. Analogous approach to structuration may be used to elements macroscopic subsystems of various SOTES levels.…”

Section: Peculiarities Of New Sotes Generationsmentioning

confidence: 99%

“…2; number of transitions is equal to n p ¼ 4. As index of efficiency we use the following coefficient of technical readiness [1,2]:…”

Section: Examplementioning

confidence: 99%

“…Stochastic continuous acquisition logic support (CALS) is the basis of integrated logistic support (ILS) in the presence of noises and stochastic factors in organizational-technical-economic systems (OTES). Stochastic CALS methodology was firstly developed in [1][2][3][4][5]. According to contemporary notions in broad sense ILS being CALS basis represents the systems of scientific, design-project, organizationtechnical, manufactural and informational-management technologies, means and fractial measures during life cycle (LC) of high-quality manufacturing products (MP) for obtaining maximal required available level of quality and minimal product technical exploitational costs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Methods of Conditionally Optimal Forecasting for Stochastic Synergetic CALS Technologies

Sinitsyn¹,

Shalamov²

2023

Time Series Analysis - New Insights

View full text Add to dashboard Cite

Problems of optimal, sub- and conditionally optimal filtering and forecasting in product and staff subsystems at the background noise in synergistical organization-technical-economical systems (SOTES) are considered. Nowadays for highly available systems the problems of creation of basic systems engineering principles, approaches and information technologies (IT) for SOTES from modern spontaneous markets at the background inertially going world economics crisis, weakening global market relations at conditions of competition and counteraction reinforcement is very important. Big enterprises need IT due to essential local and systematic economic loss. It is necessary to form general approaches for stochastic processes and parameters estimation in SOTES at the background noises. The following notations are introduced: special observation SOTES (SOTES-O) with own organization-product resources and internal noise as information from special SOTES being enact noise (SOTES-N). Conception for SOTES structure for systems of technical, staff and financial support is developed. Linear, linear with parametric noises and nonlinear stochastic (discrete and hybrid) equations describing organization-production block (OPB) for three types of SOTES with their planning-economical estimating divisions are worked out. SOTES-O is described by two interconnected subsystems: state SOTES sensor and OPB supporting sensor with necessary resources. After short survey of modern modeling, sub- and conditionally optimal filtering and forecasting basic algorithms and IT for typical SOTES are given. Influence of OTES-N noise on rules and functional indexes of subsystems accompanying life cycle production, its filtration and forecasting is considered. Experimental software tools for modeling and forecasting of cost and technical readiness for parks of aircraft are developed.

show abstract

Probabilistic Modeling, Estimation and Control for CALS Organization-Technical-Economic Systems

Cited by 2 publications

References 4 publications

Development of Ellipsoidal Analysis and Filtering Methods for Nonlinear Control Stochastic Systems

Development of Ellipsoidal Analysis and Filtering Methods for Nonlinear Control Stochastic Systems

Methods of Conditionally Optimal Forecasting for Stochastic Synergetic CALS Technologies

Contact Info

Product

Resources

About