Modern Control Theories: Nonlinear, Optimal and Adaptive Systems

Csáki, F.; Bars, Ruth; Higgins, Thomas J.

doi:10.1109/tsmc.1973.4309292

Cited by 9 publications

(9 citation statements)

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“…• for CP repair capacity (21,23,23,20,20,20,20,21,22) (in years À1 ). General costs for delivery and repair are equal to $7150 at total budget $6947.…”

Section: Optimization Block For Annual Applicationmentioning

confidence: 99%

“…Following [2][3][4]23] let us consider optimal regulator for operative control. Within given framework program/plan for OTES-CALS as VE functioning in stochastic media using social-technical-economic effectiveness criteria.…”

Section: Optimal Planning and Controlmentioning

confidence: 99%

“…Taking into account that firstly π * t ðÞimplicitly incoming into right hand of Eq. (42) and U * k secondly U * k and π * t ðÞimplicitly connected between each other over ψ 1, kþ0 such numerical methods as gradient method may be used [1,23]. According to gradient method next i þ 1 ðÞ iteration of π * t ðÞis calculated by…”

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confidence: 99%

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

Sinitsyn¹,

Shalamov²

2020

Probability, Combinatorics and Control

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Theoretical propositions of new probabilistic methodology of analysis, modeling, estimation and control in stochastic organizational-technical-economic systems (OTES) based on stochastic CALS informational technologies are considered. Stochastic integrated logistic support (ILS) of OTES modeling life cycle (LC), stochastic optimal of current state estimation in stochastic media defined by internal and external noises (including specially organized OTES-NS (noise support) and stochastic OTES optimal control) according to social-technical-economic-support criteria in real time by informational-analytical tools (IAT) of global type are presented. OTES-CALS are nonlinear and continuous-discrete. So we use approximate methods of normal approximation of probabilistic densities both for modeling and estimation. Spectrum of possibilities may be broaden by solving problems of OTES-CALS integration for existing markets of finances, goods and services. Analytical modeling, analysis, parametric optimization and optimal stochastic processes regulation in limits of illustrate some technologies and IAT given plans.

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“…• for CP repair capacity (21,23,23,20,20,20,20,21,22) (in years À1 ). General costs for delivery and repair are equal to $7150 at total budget $6947.…”

Section: Optimization Block For Annual Applicationmentioning

confidence: 99%

Section: Optimal Planning and Controlmentioning

confidence: 99%

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

Sinitsyn¹,

Shalamov²

2020

Probability, Combinatorics and Control

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“…En guise d'exemple, le modèle pourrait servir d'outil à une recherche du contrôle optimal du débit de combustible ( voie à carburant minimal) (Csaki, 1972) On différencie deux fonctions principales des fours soit: la refonte du métal solide et le maintien du métal liquide à une température appropriée pour la coulée. Essentiellement, dans le cas d'un four de maintien ou de refonte, le but commun visé est le transfert optimal de l'é-nergie d'une source chaude vers un puits froid qui est le métal.…”

Section: Mise En Garde/adviceunclassified

Modelisation mathematique simplifiee d un four de metal chaud

Perron¹

1987

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“…The concepts of controllability originally arose in the study of linear control systems and their attainable sets [1], [12] and were later applied to smooth nonlinear systems [3], [4]. Introduction.…”

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confidence: 99%

Global Directional Controllability

Warga

1989

SIAM J. Control Optim.

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This paper derives sufficient conditions for the image of a function (01: Q-R'" to cover an open segment originating at qt(t) and with direction w (or even a neighborhood of such an interval) subject to restrictions of the form q2(q)E C or q2(q)+ Gc C. Here 2: Q Y, Q is an arbitrary set, C a convex subset of the topological vector space , and G a neighborhood of 0 in Y. Also derived are similar directional controllability conditions subject to the additional restriction q E OR c Q for an "abundant" subset R of Q.These conditions are applicable to unilateral problems of control theory and of (infinite-dimensional) mathematical programming. These results are global and apply to problems defined by functions whose restrictions to certain finite-dimensional sets are differentiable (but not necessarily C ) or are locally uniform limits of differentiable functions.

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Modern Control Theories: Nonlinear, Optimal and Adaptive Systems

Cited by 9 publications

References 0 publications

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

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

Modelisation mathematique simplifiee d un four de metal chaud

Global Directional Controllability

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