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The Third international conference complex systems: control and modeling problems, September 3–10, 2001, Samara, Russia

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Automation and Remote control 2001年第5期62卷 852-854页

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Research on control Strategies for Partially Observable Discrete Event systems Based on Normal State Tree Structure 24

Research on Control Strategies for Partially Observable Disc...

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5th international conference on Computer Science and Management Technology, ICCSMT 2024

作者： Gu, Chan Tang, Bo Chi, Encheng School of Electrical and Control Engineering Shaanxi University of Science and Technology Shaanxi Xi'an China

ISBN: (纸本)9798400709999

In the process of modeling and solving large-scale complex systems, issues with complex state structures and low computational efficiency are often *** partially observable discrete event systems, this paper proposes a method that utilizes state tree structures for modeling and analyzes global behavior through local *** demonstrates the existence of non-blocking, weakly controllable coreachable and observable (WCCO) subpredicates and their solving *** order to effectively represent these complex system states, the paper employs the use of Binary Decision Diagrams (BDD), which are capable of compactly and efficiently representing state tree *** feasibility of the proposed algorithm is verified through practical examples, showing that the algorithm exhibits higher fault tolerance and flexibility in handling complex systems, enabling the development of more forgiving control *** not only enhances the stability and reliability of the system but also provides new solutions for supervisory control in practical engineering applications. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Binary decision diagrams

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modeling of Temperature Distributions in Axisymmetric Elements of complex Metallurgical systems on the Basis of Nonlocal problems 15th

Modeling of Temperature Distributions in Axisymmetric Elemen...

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15th international conference on Advanced Mechanical and Power Engineering, CAMPE 2023

作者： Lyashenko, Viktor Todorov, Michail D. Kobilskaya, Elena Demyanchenko, Olga Statharas, Dimitrios Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Technical University Sofia Bulgaria Azov Maritime Institute National Universit "Odessa Maritime Academy" Mariupol Ukraine University of Leicester Leicester United Kingdom

ISBN: (纸本)9783031829789

During the study and control of temperature distributions in moving and stationary axisymmetric elements of complex systems, mathematical models of heating processes play an important role. Unlike natural measurements of temperature in a finite number of points, these models help to analyze the temperature field in the entire heating area. The goal of this paper is to build a mathematical model of temperature distributions in moving and stationary axisymmetric elements of complex systems in the form of a nonlocal problem for the heat conduction equation with an integral condition, to develop a method for solving the nonlocal inverse problem. For the practical use and application of the mathematical model in the design of technological equipment, it is important to determine the control parameters of the temperature distribution. By introducing an integral condition to the mathematical model of the thermal process that occurs in a moving axisymmetric area, the control parameters of the temperature field are determined. In the paper, as additional information for formulating the inverse problem, a nonlocal integral condition is used, which is constructed based on the thermal energy balance condition in the heating area. This made it possible to increase the efficiency of temperature control in complex systems. A method for solving the nonlocal inverse problem of thermal conductivity was proposed. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Inverse problems

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An Innovative Hierarchical Approach to Multi-rigid Body modeling and control Using Constraint-Following Method 17th

An Innovative Hierarchical Approach to Multi-rigid Body Mode...

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17th international conference on Intelligent Robotics and Applications

作者： Su, Xiao Yuan, Yutong Fan, Longjie Li, Duanling Huang, Jin Beijing Univ Posts & Telecommun Sch Automat Beijing 100876 Peoples R China Tsinghua Univ Sch Vehicle & Mobil Beijing 100084 Peoples R China

ISBN: (纸本)9789819607709;9789819607716

The modeling and control of complex multi-rigid-body systems remain challenging due to the systems' pronounced coupling and nonlinearity. In this paper, we propose a novel extended hierarchical modeling method for complex multi-rigid body systems, obtain an analytical model of system dynamics, and introduce a constraint-following control method to address the challenges of system modeling and control. In this approach, constraints are categorized into two levels: structural constraints constitute the first level, and motion constraints form the second level. Within the second level constraints, arbitrary initial conditions can lead to trajectory divergence. Consequently, we propose the asymptotic convergence criterion to address this issue. Subsequently, the analytical dynamic equation and trajectory tracking control force for the mobile robot are derived simultaneously. Numerical simulations of the mobile robots are performed to demonstrate the efficacy and accuracy of this methodology.

关键词： Multi-Rigid Body Hierarchical modeling Constraint-Following

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Event-Triggered Formation Containment control for Euler-Lagrange systems with Input Saturation 24

Event-Triggered Formation Containment Control for Euler-Lagr...

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2nd international conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： Zhang, Yang Gao, Chen Ma, Lifeng Nanjing University of Science and Technology Jiangsu China

ISBN: (纸本)9798400710681

This article delves into the issue of formation-containment control for multiple Euler-Lagrange systems with input saturation, where the leaders have unknown bounded control inputs. In this article, a distributed event-triggered adaptive input saturation control protocol is presented for each follower. The result shows that under the input saturation control strategy, and the formation-containment problem can be solved for the directed graph. The issue of relatively large control inputs for the followers can be addressed by implementing input saturation constraints. Finally, an example is given to illustrate the feasibility of the proposed event-triggered scheme under the input saturation control strategy. © 2024 Copyright held by the owner/author(s).

关键词： Lagrange multipliers

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A semi-analytical solution of stiff equations arising in chemistry problems by homotopy analysis method

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international JOURNAL OF DYNAMICS AND control 2025年第2期13卷 1-16页

作者： Sachin, K. N. Suguntha, Devi K. Kumbinarasaiah, S. Bangalore Univ Dept Math Bengaluru 560056 India

In chemistry, particularly in the context of chemical kinetics, reaction dynamics, or when modeling systems involving complex reactions or transport phenomena, stiff equations arise frequently. These are systems of ordinary differential equations (ODEs) that exhibit very different timescales for various components of the solution, making them challenging to solve numerically. A stiff equation is one where there are some components of the solution that change very rapidly compared to others. These rapid changes can cause numerical instability when using standard solvers unless the time step is made extremely small. This research investigates applying the homotopy analysis method (HAM) and Haar wavelet transform (HWT) to resolve the complex, stiff equations encountered in chemical problems. The HAM approach involves constructing mth\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$m<^>\textrm{th}$$\end{document}-order deformation equations using an auxiliary function and a parameter. This iteration process collectively yields a semi-analytical solution. Similarly, the HWT is employed to transform the stiff differential equations into a system of algebraic equations that can be more efficiently solved. The study evaluates the effectiveness and accuracy of these HAM and HWT methods in addressing the high complexity and challenge of solving stiff chemical equations using traditional numerical techniques. The findings demonstrate that the proposed approaches offer a reliable and fast-converging solution. The performance of the HAM and HWT methods is illustrated through numerical examples, and the solutions are compared with Exact solutions and the Taylor wavelet method from the literature, with the efficiency represented using tables and figures.

关键词： System of ODEs Chemical stiff systems HAM Haar wavelet

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Automated and Automatic systems of Management of a Programs Package for Making Optimal Decisions 2nd

Automated and Automatic Systems of Management of a Programs ...

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2nd international conference on Information Technologies and Their Applications

作者： Quliyev, Samir Azerbaijan State Oil & Ind Univ AZ-101 Baku Azerbaijan Inst Control Syst AZ-1141 Baku Azerbaijan

ISBN: (纸本)9783031734168;9783031734175

While there are many numerical solution methods for different problem classes, identifying the most efficient approach for a specific problem with defined parameter values entails conducting numerous comparative experiments. Usually, end users face difficulties when undertaking such experiments, which entail understanding the domain of applicability of diverse numerical methods and involve conducting a thorough comparative analysis of the results, which is time-consuming. We carry out the analysis of techniques and algorithms for managing a computational process to solve difficult or complex optimization problems with the use of computer systems. This research puts forward two approaches to streamline the utilization of existing applied software packages on modern multi-processor and/or multicore computer systems for multivariate optimization problems. One of the approaches entails the user actively interacting with the optimization program package in a dialogue mode. In contrast, the other approach entails packet control through a dedicated control program operating in automatic mode. The manuscript provides the protocols and outcomes of computer-based experiments conducted for unconstrained optimization problems using the developed software package

关键词： Parallel Computing Multiprocessor/Multicore systems Dialog systems Decision Making Optimal control Methods Optimization Methods

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modeling and Optimization of controlled Conveyor systems Using Intelligent controllers 15th

Modeling and Optimization of Controlled Conveyor Systems U...

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15th international conference on Optimization and Applications, OPTIMA 2024

作者： Petrov, Alexey Druzhinina, Olga Masina, Olga Bunin Yelets State University Yelets Russia Federal Research Center "Computer Science and Control" of Russian Academy of Sciences Moscow Russia V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9783031791185

The construction of generalized mathematical models is proposed that describe the dynamics of a controlled belt conveyor with a variable angle between the horizontal plane and the plane of the belt. The models under consideration are defined using nonlinear nonstationary systems of four differential equations with switching. Switching modes are characterized by a change in the loading and unloading sequence. Statements of optimal control problems are presented under restrictions on the magnitude of control and on the speed of control. Synthesis of neural network controllers for stabilization of the angular position of the conveyor is carried out. controllers are synthesized using such direct propagation neural networks for which reinforcement learning is implemented based on the optimization algorithm of differential evolution. A comparative analysis of the effectiveness of synthesized controllers is carried out. Algorithmic support for modeling controlled conveyor systems is developed using intelligent analysis and global parametric optimization methods. The results of computational experiments are presented. The obtained results can find application in solving problems of optimal stabilization of dynamic systems with switching. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Belt conveyors

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Model-predictive optimal control of ferrofluidic microrobots in three-dimensional space

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international JOURNAL OF ROBOTICS RESEARCH 2025年第5期44卷 826-839页

作者： Skowronek, E. Olga Baker, Luke S. Ahmed, Reza Marvi, Hamid Arizona State Univ Sch Engn Matter Transport & Energy 501 E Tyler Mall Tempe AZ 85287 USA Univ Texas Rio Grande Valley Coll Engn & Comp Sci Edinburg TX USA Los Alamos Natl Lab Ctr Nonlinear Studies Theoret Div Los Alamos NM USA

Ferrofluid microrobots have emerged as promising tools for minimally invasive medical procedures. Their unique properties to navigate complex fluids and reach otherwise inaccessible regions of the human body have enabled new applications in targeted drug delivery, tissue engineering, and diagnostics. This paper proposes a model-predictive controller for the external magnetic manipulation of ferrofluid microrobots in three dimensions (3D). The internal optimization routine of the controller determines appropriate changes in the applied electromagnetic field to minimize the deviation between the actual and desired trajectories of the microrobot. A linear system governing locomotion is derived and used as the equality constraints of the optimization problems associated with the feedback index. In addition to ferrofluid droplets, the controller presented in this work may be applied to other magnetically-pulled microrobots. Several experiments are performed to validate the controller and showcase its ability to adapt to changes in system parameters such as the desired tracking trajectory and the size, orientation, deformation, and velocity of the microrobot. The accuracy of the controller is analyzed for each experiment, and the average error is found to be within 0.25 mm for small velocities. An additional experiment is performed to demonstrate significant improvement over a PID controller that is optimally tuned using Bayesian optimization. The results presented in this paper suggest that the proposed control algorithm could enable new microrobotic capabilities in minimally invasive medical procedures, lab-on-a-chip applications, and microfluidics.

关键词： modeling control learning for soft robots micro/nano robots medical robots and systems

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control of the Technological Process for Obtaining Propylene Glycol, Functioning in Fuzzy Information Conditions 16th

Control of the Technological Process for Obtaining Propylene...

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16th international conference on Application of Fuzzy systems, Soft Computing and Artificial Intelligence Tools, ICAFS 2023

作者： Melikov, E.A. Magerramova, T.M. Safarova, A.A. Azerbaijan State Oil and Industry University Baku Azerbaijan

ISBN: (纸本)9783031725050

Modern complex chemical-technological systems as automation objects are distinguished by the presence of a large number of controlled and uncontrolled parameters, high productivity, technological modes intensity and ongoing technological operations continuity. The proposed article focuses on the actual problems of analysis, modeling, development of a mathematical formulation and solving the control problem, which is important in the chemical industry, the technological process for producing propylene glycol, which is widely used in various industries, in particular, as a working fluid in hydraulic systems, raw materials in production antifreeze, varnish and paint, tobacco humidifier in the food industry, in the pharmaceutical and cosmetic industries, etc. Here, due to the complexity and impossibility of taking into account factors that are difficult to formalize, changes in technological parameters and process characteristics over a wide range, and the difficulty of monitoring the states of the process under consideration, the apparatus of fuzzy set theory is used. Mathematical models of the process under study are constructed on the basis of the estimating the maximum probability method, in the form of fuzzy regression dependencies connecting the perturbing, control and state parameters of the object under consideration. On the basis of the obtained fuzzy models, a physically based mathematical formulation of the problem of optimal control of the object under study is formulated and a self-adjusting automatic control system with a fuzzy controller is built, which ensures the optimal functioning of the object under conditions of incomplete information. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Chemical industry

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