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10th International Conference on Information Technology and Nanotechnology, ITNT 2024

作者： Kolesnikova, Svetlana Kustova, Ekaterina Institute Of Computational Systems And Programming St. Petersburg State University Of Aerospace Instrumentation St. Petersburg Russia

ISBN: (纸本)9798350372939

The results of application of the invariance condition as the basic principle of the synergetic control theory to a stochastic biomedical object - immunology, are presented. Using four-dimensional nonlinear base object with a delay, it is shown that the assumptions on the object controllability in the state space and the analytical description of the target invariant of the system are the sufficient conditions for an existence of a stochastic regulator minimizing the dispersion of the output variable in transferring a random controlled object to a target manifold of states. © 2024 IEEE.

关键词： Immunology

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Formalization of Data Exchange Between the systems of Monitoring and Control over an Anaerobic Bioreactor 4

Formalization of Data Exchange Between the Systems of Monito...

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4th International Conference on Control systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2022

作者： Kolesnikova, Svetlana Fomenkova, Anastasia Institute of Computational Systems and Programming St. Petersburg State University of Aerospace Instrumentation St. Petersburg Russia

ISBN: (数字)9781665456593

ISBN: (纸本)9781665456593

A conceptual scheme for monitoring and control of the technical state of a complex system - an anaerobic bioreactor - is proposed. A mathematical apparatus and the heart of its algorithmic software are presented as a basis for the synthesis of a smart system of control over the technological processes at production facilities. Examples of the analytical synthesis of an adaptive control system for a nonlinear multidimensional object and an observer algorithm for unmeasurable variables are presented. © 2022 IEEE.

关键词： Adaptive control systems

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Approbation of a Generalization of the Synergetic Design of Regulators for a Stochastic Base Immunology System

Approbation of a Generalization of the Synergetic Design of ...

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Information Technology and Nanotechnology (ITNT), International Conference on

作者： Svetlana Kolesnikova Ekaterina Kustova Institute of Computational Systems and Programming St. Petersburg State University of Aerospace Instrumentation St. Petersburg Russia

ISBN: (数字)9798350372939

ISBN: (纸本)9798350372946

关键词： Analytical models Regulators Immunology Databases Heuristic algorithms Stochastic processes Process control

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Stochastic Algorithm for Designing Control over Electrohydraulic Brake System 3

Stochastic Algorithm for Designing Control over Electrohydra...

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3rd International Conference on Control systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2021

作者： Kolesnikova, S.I. Semenikhin, E.L. Institute of Computational Systems and Programming St.Petersburg State University of Aerospace Instrumentation St. Petersburg Russia

ISBN: (纸本)9781665439817

The problem of control over a nonlinear four-order object (a self-energizing electrohydraulic brake) on a target manifold with two types of uncertainties in the description is discussed. Two new algorithms for the synthesis of a regulator for a nonlinear and unstable object in conditions of random and nonrandom disturbances have been constructed. The principles of the synergetic control theory and its main methods-Analytical design of aggregated controllers and nonlinear adaptation are used. A new algorithm for stochastic adaptation based on the principles of synergetics is proposed. The results of a comparative numerical simulation of the used control algorithms under design and off-design conditions are presented. © 2021 IEEE.

关键词： Stochastic systems

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A Farewell to Harms: Risk Management for Medical Devices via the Riskman Ontology & Shapes

arXiv

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arXiv 2024年

作者： Gorczyca, Piotr Arndt, Dörthe Diller, Martin Kettmann, Pascal Mennicke, Stephan Strass, Hannes Computational Logic Group Institute of Artificial Intelligence Germany Logic Programming and Argumentation Group Institute of Artificial Intelligence Germany Knowledge-Based Systems Group Institute for Theoretical Computer Science Germany Faculty of Computer Science TU Dresden Germany

We introduce the Riskman ontology & shapes for representing and analysing information about risk management for medical devices. Risk management is concerned with taking necessary precautions so a medical device does not cause harms for users or the environment. To date, risk management documentation is submitted to notified bodies (for certification) in the form of semi-structured natural language text. We propose to use classes from the Riskman ontology to logically model risk management documentation, and to use the included SHACL constraints to check for syntactic completeness and conformity to relevant standards. In particular, the ontology is modelled after ISO 14971 and the recently published VDE Spec 90025. Our proposed methodology has the potential to save many person-hours for both manufacturers (when creating risk management documentation) as well as notified bodies (when assessing submitted applications for certification), and thus offers considerable benefits for healthcare and, by extension, society as a whole. Copyright © 2024, The Authors. All rights reserved.

关键词： Risk management

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Information system model for implementation and maintenance of stochastic control over a nonlinear object on manifolds

Information system model for implementation and maintenance ...

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2020 International Conference on Information Technology in Business and Industry, ITBI 2020

作者： Kolesnikova, S.I. Institute of Computational Systems and Programming St. Petersburg State University of Aerospace Instrumentation Bolshaya Morskaia str. 67 St. Petersburg190000 Russia

The paper presents a problem statement for a robust stochastic regulator synthesis based on the principles of control on manifolds, a solution algorithm of a new information system and its structure maintaining the synthesis algorithm for a stochastic discrete object. The object under study is presented as a system of stochastic, difference nonlinear equations. The mathematical tools of the classical method of analytical design of aggregated regulators are used, which were developed earlier for a deterministic nonlinear object with a complete description. The robust stochastic nonlinear regulator ensures the following characteristics of the control system: A) minimum deviation of the output variable;b) minimum dispersion of the target invariant;c) minimum average value of the control quality functional. © Published under licence by IOP Publishing Ltd.

关键词： Nonlinear equations

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Synthesis Algorithm for a Continuous Robust Regulator on a Manifold for a Manipulator under Non-Random Noise Conditions

Synthesis Algorithm for a Continuous Robust Regulator on a M...

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2020 International Russian Automation Conference, RusAutoCon 2020

作者： Kolesnikov, A.A. Kolesnikova, S.I. Institute of Computer Technology and Information Security South Federal University Taganrog Russia Institute of Computational Systems and Programming St.Petersburg State University of Aerospae Instrumentation St. Petersburg Russia

ISBN: (纸本)9781728161303

The nonlinear adaptation algorithm is considered as applied to stabilization of the center of mass of a moving object subject to nonrandom noise in the control variable. An unknown disturbance is a bounded and continuous function of time. To solve the problem of its modeling and suppression, the following result is used: continuous functions can be described as partial solutions of some differential equations. The developed control algorithm guarantees full compensation of the external disturbance under certain conditions. The simulation result of the obtained control is applied to a manipulation object. © 2020 IEEE.

关键词： Differential equations

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Two Algorithms for Designing Control over Centerof-Mass Motion of a Moving Object with Incomplete Description 2

Two Algorithms for Designing Control over Centerof-Mass Moti...

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2nd International Conference on Control systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2020

作者： Kolesnikova, S.I. Paraev, Yu. I. Tsvetnitskaya, S.A. St.Petersburg State University of Aerospae Instrumentation Institute of Computational Systems and Programming St. Petersburg Russia National Research Tomsk State University Institute of Applied Mathematics and Computer Science Tomsk Russia

ISBN: (纸本)9781728188409

The methods of nonlinear adaptation based on an analytical design of aggregated regulators and modal control are discussed for solving the problem of nonlinear control over a robotic arm operating under the conditions of nonrandom noise. A comparative analysis of control is performed under different types of noise variables. It is shown that both control systems are adaptive and robust, while their transient process quality characteristics differ. The results of numerical modeling support the method of nonlinear adaptation as far as the value of overshoot is concerned in the case of nonrandom noise and evidence in favor of the method of modal control identifying the noise for off-design conditions (random high level noise). © 2020 IEEE.

关键词： Quality control

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Synthesis Algorithm for a Continuous Robust Regulator on a Manifold for a Manipulator under Non-Random Noise Conditions

Synthesis Algorithm for a Continuous Robust Regulator on a M...

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International Russian Automation Conference (RusAutoCon)

作者： A. A. Kolesnikov S. I. Kolesnikova Institute of Computer Technology and Information Security South Federal University Taganrog Russia Institute of Computational Systems and Programming St.Petersburg State University of Aerospaсe Instrumentation St. Petersburg Russia

ISBN: (数字)9781728161303

ISBN: (纸本)9781728161310

关键词： Mathematical model Regulators Manifolds Automation Aerospace electronics Gold

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Two Algorithms for Designing Control over Centerof-Mass Motion of a Moving Object with Incomplete Description

Two Algorithms for Designing Control over Centerof-Mass Moti...

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International Conference on Control systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： S. I. Kolesnikova Yu. I. Paraev S. A. Tsvetnitskaya Institute of Computational Systems and Programming St.Petersburg State University of Aerospaсe Instrumentation St. Petersburg Russia Institute of Applied Mathematics and Computer Science National Research Tomsk State University Tomsk Russia

ISBN: (数字)9781728188409

ISBN: (纸本)9781728181134

关键词： Regulators Uncertainty Robot kinematics Stochastic processes Process control Control systems Transient analysis

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