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检索条件"任意字段=International Conference on Complex Systems: Control and Modeling Problems"

共 12202 条记录，以下是481-490 订阅

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Applying Reconfiguration Cost and control Pattern modeling to Self-Adaptive systems 22

Applying Reconfiguration Cost and Control Pattern Modeling t...

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44th ACM/IEEE international conference on Software Engineering - New Ideas and Emerging Results (ICSE-NIER)

作者： Matthe, Michael Univ Mannheim Chair Informat Syst 2 Mannheim Germany

ISBN: (纸本)9781665495981

Self-adaptive systems have become a popular research topic to overcome challenges of developing highly complex, interconnected, and heterogeneous systems and networks. These systems aim to autonomously adapt to a changing environment by adapting system behavior or composition to improve performance. Many self-adaptive systems are designed in a purely reactive way and without considering costs that may be incurred by performing adaptation. This thesis therefore aims to develop an approach for proactive self-adaptive systems and evaluate the impact of reconfiguration cost and proactive adaptation in an edge computing system. Additionally the autonomous adaptation of different control patterns for centralized or decentralized control will be explored and evaluated. This thesis proposes to extend feature models, as used in dynamic software product lines, with modeling for reconfiguration cost and of uncertainty in the system's environment.

关键词： self-adaptive systems context-aware systems edge computing

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Agent-based Negotiation for Cooperative Transports within Aircraft Production 22

Agent-based Negotiation for Cooperative Transports within Ai...

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22nd World Congress of the international Federation of Automatic control (IFAC)

作者： Gehlhoff, Felix Nabizada, Hamied Elkhateeb, Ahmed Lepolotec, Christian Roehrig, Martin Fay, Alexander Helmut Schmidt Univ Inst Automat Technol Univ Fed Armed Forces Hamburg Germany Airbus Operat GmbH Hamburg Germany

ISBN: (纸本)9781713872344

Multi-agent systems have been used for many decades to solve problems within complex industrial systems. The most common means of coordination is the Contract Net Protocol, a simple yet powerful auction protocol, which has been enhanced by many authors and addressed by different standardization efforts. Autonomous transportation for aircraft production is a particularly challenging area of automation. It necessitates flexible and reliable approaches, including reliable communication and execution of processes for which existing agent frameworks are insufficient. This contribution outlines current efforts within the community to build a ROS2-based agent framework and proposes an applicable capability-modeling approach as well as a suitable negotiation protocol for cooperative transport processes.

关键词： Multi-agent systems Contract Net Protocol Cooperative Transportation control Software Architecture Intelligent Autonomous Vehicles Robot Operating System (ROS)

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Learning Support systems Based on Mathematical Knowledge Management 16th

Learning Support Systems Based on Mathematical Knowledge Man...

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16th international conference on Intelligent Computer Mathematics (CICM)

作者： Berges, Marc Betzendahl, Jonas Chugh, Abhishek Kohlhase, Michael Lohr, Dominic Mueller, Dennis FAU Erlangen Nurnberg Comp Sci Erlangen Germany Sophize Fdn Bangalore India

ISBN: (纸本)9783031427527;9783031427534

To cater to the increasingly diverse student bodies, higher education has to personalize education. In times of stagnant educational budgets and staffing problems, this can only be achieved via adaptive, interactive learning support services. In this paper we show how these can be generated by modeling the domain, the learner competencies, and the rhetoric and didactic relations among learning objects, re-using existing technologies and systems of mathematical knowledge management.

关键词： Budget control

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Synthesis of Neural Network Program control Based on Pontryagin's Maximum Principle 8

Synthesis of Neural Network Program Control Based on Pontrya...

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8th international conference on Information, control, and Communication Technologies, ICCT 2024

作者： Kozyr, Andrey Feofilov, Sergey Khapkin, Dmitry Tula State University Dept. of Automatic Control Systems Tula Russia

ISBN: (纸本)9798331517564

This paper solves the problem of synthesizing optimal control for complex nonlinear dynamic objects. Such problems often arise in various engineering applications such as robotics, mechatronics, and aerospace. Examples of such problems include the computation of the optimal flight path of an aircraft, manipulator control, and control of industrial applications. In most real-world applications, the control object is a high-order nonlinear dynamical system, and the parameters may be uncertain or vary over *** and iterative methods of optimal control synthesis are known;however, such methods are not applicable in the case of high dimensionality of the object "curse of dimensionality"and have poor convergence. In this paper, a new approach to solving the problem of program control synthesis based on the use of neural network controller is proposed. The loss function is formulated based on an adapted set of necessary optimality conditions derived from the maximum principle and approximation of the Hamilton-Jacobi-Bellman equation using neural networks. Compared to direct iterative methods, the method presented in this paper can efficiently obtain control from the state-space domain. The demonstration of the proposed method is carried out on a model example of constructing the optimal control of the output to the unstable position of the inverse pendulum, and the results of numerical simulation are given. The research was carried out at the expense of the grant of the Russian Science Foundation No. 23-29-00609, https://***/project/23-29-00609. © 2024 IEEE.

关键词： Flight paths

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Complete analytical solution to the energy-optimal problem of multivariable perfect control systems based on the generalized H-inverse 8

Complete analytical solution to the energy-optimal problem o...

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8th international conference on control, Decision and Information Technologies (CoDIT)

作者： Feliks, Tomasz Hunek, Wojciech P. Krok, Marek Majewski, Pawel Opole Univ Technol Dept Control Sci & Engn PL-45758 Opole Poland

ISBN: (纸本)9781665496070

A complete analytical solution to the complex energy-optimal design problem of the LTI MIMO perfect control systems is established in this paper. It is proven here that the application of the generalized SVD-based right H-inverse can successfully be engaged in analytical solving the composite minimum-energy scheme for the multivariable nonsquare plants described in the discrete-time state-space framework. Moreover, the mentioned inverse clearly outperforms the nonunique sigma-inverse in the context of quality and computational complexity. Consequently, the advantageous peculiarity of the SVD-originated inverse canon will expressly contribute to the establishment of the new optimal unified inverse model control (IMC) design theory.

关键词： Linear systems Computational modeling control systems Information technology Computational complexity MIMO communication

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Research on complex equipment supplier evaluation system and methods 4

Research on complex equipment supplier evaluation system and...

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4th international conference on Big Data Economy and Information Management, BDEIM 2023

作者： Su, Dexing Ji, Cuibin Sun, Peijian Li, Junfeng Lv, Yongqing Beijing Institute of Control and Electronic Technology Beijing100038 China The Fourth Academy of CASIC Beijing102308 China

ISBN: (纸本)9798400716669

In view of the problems existing in the existing complex equipment supplier evaluation systems and methods, such as incomplete consideration of access indicators and insufficient objectivity of evaluation methods, a complex equipment supplier evaluation index system based on access items and evaluation items was constructed, and various Evaluation criteria for indicators. The gray correlation analysis method and the entropy value method are used to calculate the gray weighted correlation degree of the admission items and evaluation item indicators, and the admission and dynamic evaluation of product suppliers are realized based on the correlation ranking. Experiments show that this method can be objective in the process of product supplier evaluation, is simple to operate, and has direct and clear evaluation results, which is of great significance for improving the management capabilities of complex equipment suppliers. © 2023 ACM.

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Approximation of the Feasible Parameter Set in Bounded-Error Parameter Estimation of Takagi-Sugeno Fuzzy Models for Large problems by Using a Ray Shooting Method

Approximation of the Feasible Parameter Set in Bounded-Error...

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IEEE international conference on Fuzzy systems (FUZZ-IEEE) / IEEE World Congress on Computational Intelligence (IEEE WCCI) / international Joint conference on Neural Networks (IJCNN) / IEEE Congress on Evolutionary Computation (IEEE CEC)

作者： Wittich, Felix Kroll, Andreas Univ Kassel Dept Measurement & Control Kassel Germany

ISBN: (数字)9781665467100

ISBN: (纸本)9781665467100

Because reliable data-driven modeling methods require quantifying model uncertainty, an estimation of the parameter uncertainty is important. Usually maximum-likelihood methods with a known probability distribution of the noise are used. In practice, for many problems the stochastic properties of the errors are unknown and cannot be determined. In such cases, bounded error parameter estimation methods can be beneficial. These assume that the error lies within prior specified bounds. However, parameter estimation in the bounded error setting can be difficult and computationally expensive for data-driven modeling as a high number of parameters results. In this paper a new method for an approximate estimation with reduced effort of the set of feasible parameters for nonlinear data-driven modeling with Takagi-Sugeno fuzzy models is introduced. This permits to tackle large real-world problems. For this, a sampling based ray shooting method is proposed that guarantees an inner approximation of the feasible parameter set. The capability of the proposed method is demonstrated in two case studies, including one with data from an industrial hard turning process.

关键词： Takagi-Sugeno model Parameter Estimation Bounded Error Uncertainty Predictive Models Feasible Parameter Set Hard Turning

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Fuzzy Disturbance Observer Based NTSM Attitude control for Combined Spacecraft

Fuzzy Disturbance Observer Based NTSM Attitude Control for C...

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international conference on Autonomous Unmanned systems (ICAUS)

作者： Sun, Yicheng Wang, Yueyang Cui, Baoyi Lv, Yueyong Harbin Inst Technol Harbin 150001 Peoples R China Chinese Acad Sci Innovat Acad Microsatellites Shanghai 201304 Peoples R China

ISBN: (纸本)9789819904815;9789819904792;9789819904785

The service spacecraft captures the target spacecraft and forms a combined spacecraft, which is a complex, nonlinear, and coupled system with much uncertain parameters. Targets may also have autonomous maneuverability and output resistance torque to hinder the service spacecraft from performing on-orbit missions. To solve these problems, a fuzzy disturbance observer based nonsingular terminal sliding mode (NTSM) attitude controller is proposed. Firstly, the state-space representation of system is developed based on the attitude mathematical model of combined spacecraft. Next, an adaptive fuzzy disturbance observer is designed to approach the generalized disturbances including uncertainties of inertia, resistance torques of target spacecraft, external disturbance torques and so on. The observation error is proved to be uniformly bounded by constructing Lyapunov function. Then, based on the fuzzy disturbance observer, a NTSM controller with high control performance is designed to stabilize the attitude of combined spacecraft. Finally, simulations results verify the good tracking and control performance of the control strategy.

关键词： Attitude control Combined spacecraft Fuzzy disturbance observer NTSM

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On Methods for modeling controlled Dynamics in Stabilization problems

On Methods for Modeling Controlled Dynamics in Stabilization...

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international Russian Automation conference (RusAutoCon)

作者： Aleksandr Ya. Krasinskiy Vasily Gr. Aitov Dept. of Computer Modeling and Probability Theory Moscow Aviation Institute (National Research University) Moscow Russia Information and Computing Center Rosbiotech Moscow Russia

ISBN: (数字)9798350349818

ISBN: (纸本)9798350349825

Automatic devices make up the vast maj ority of technological equipment in modern production. To obtain an output product of appropriate quality, the most complex program control algorithms can be implemented in actuators, including those found by mathematical control theory methods. Stable given operating mode implementation for controlled systems is ensured by its stabilization. In mathematical control theory, rigorous methods have been developed for solving stabilization problems; the effectiveness of their practical application is determined by the adequacy of the mathematical model of the control object used. The article outlines the main approaches to building models with a discussion of their required accuracy. Specific examples of solving stabilization problems for certain technical systems classes with different orders models of accuracy are given.

关键词： Training Asymptotic stability Accuracy Reliability theory Reliability engineering Mathematical models Stability analysis control theory Standards Robots

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Substantiation of Time Distribution Law for modeling the Activity of Automated control System Operator 1

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17th international conference on Mathematical modeling and Simulation of systems, MODS 2022

作者： Tymchenko, Sergiy Kaplun, Yevgen Roshchupkin, Evgeniy Kukobko, Sergiy National Academy of National Guard of Ukraine Kharkiv Ukraine Ivan Kozhedub Kharkiv National Air Force University Kharkiv Ukraine State Scientific Research Institute of Armament and Military Equipment Testing and Certification Chernigiv Ukraine

ISBN: (数字)9783031302510

ISBN: (纸本)9783031302503

The existing models for ensuring the activities of the operator of the automated control system (OACS) or its individual elements use simplified data on the time spent on performing elementary actions. Various laws of time distribution for performing elementary actions are investigated to select an adequate one in modeling the activities of automated control system operators. The step-by-step modeling method is the basis for the formation of a model of the operator’s activity. The analysis of the general structure of its activities reflects the main elements, namely, the receipt of information and its processing by the operator, decision-making, interaction with automation tools. The operator performs the basic operations, which are a set of successively performed elementary actions by the operator, such as search movements of the eyes, fixation of the gaze, perception and evaluation of forms or signs. To estimate the average execution time of several elementary actions, the sum of the values of each elementary operation was used. The random nature of these quantities requires the choice of the distribution laws of the time for the operator to solve various control problems during the simulation. Hypotheses about the laws of distribution of time for solving problems by the operator are put forward and tested: truncated normal distribution, gamma distribution, beta distribution, logarithmically normal distribution. The agreement of the empirical and theoretical distributions is checked, histograms and distribution densities of the decision time by the operator are shown. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Normal distribution

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