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An Extensive Analysis of Match-Tracking Methods for ARTMAP

An Extensive Analysis of Match-Tracking Methods for ARTMAP

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2025 ieee symposium on computational intelligence in Health and Medicine, CIHM 2025

作者： Melton, Niklas M. da Silva, Leonardo Enzo Brito Wunsch, Donald C. Applied Computational Intelligence Lab Missouri University of Science and Technology RollaMO United States Kummer Institute Center for Artificial Intelligence and Autonomous Systems Missouri University of Science and Technology RollaMO United States

ISBN: (纸本)9798331508333

This paper identifies and studies five match-tracking (MT) methods in the adaptive resonance theory (ART) literature and conducts a detailed comparative analysis of these in ARTMAP applications. We focus on model performance for each MT method with respect to time and space efficiency as well as classification accuracy. Experimental results indicate that one MT variant, used in ARTMAP applications for the first time in this work, provides significant improvements in computational efficiency: depending on the ARTMAP variant, it was able to achieve up to one order of magnitude reduction in both time and space requirements, albeit with a compromise in accuracy, relative to the most accurate MT variant. Furthermore, these results reveal the absence of a universally accuracy-optimal MT algorithm, suggesting that the optimal choice is dependent on the specific ARTMAP architecture and the dataset characteristics. © 2025 ieee.

关键词： Arts computing

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A Knowledge Acquisition Framework for Autonomous Decision Making in Service Robots

A Knowledge Acquisition Framework for Autonomous Decision Ma...

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ieee symposium Series on computational intelligence (SSCI)

作者： Hao Wu Zhixian Zhao Qing Ma Guohui Tian School of Control Science and Engineering Shandong University Shandong Province China

Service robots are expected to autonomously perform a wide range of service tasks to satisfy users' needs, but are limited in practice by their weak decision-making capabilities. This work introduces a Knowledge Acquisition Framework (KAFS) to help robots make autonomous decisions through this knowledge. This framework is divided into two parts: service knowledge acquisition and scene knowledge construction and uses a variety of intelligent methods to easily and accurately acquire a large amount of service and scene knowledge. We demonstrate the knowledge acquired by KAFS and validate the effectiveness of KAFS on robot service tasks.

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AI-Enabled Prediction of the Thermal Expansion for High-Speed Motorized Spindles in Real World Scenarios

AI-Enabled Prediction of the Thermal Expansion for High-Spee...

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computational intelligence on Engineering/Cyber Physical Systems Companion (CIES Companion), ieee symposium on

作者： Jakob Rothe Raven T. Reisch Felix Butz Lucas Janisch Thomas A. Runkler Siemens AG Germany Technical University of Munich Germany Innomotics GmbH - Business Unit Spindle Technology Germany

ISBN: (数字)9798331508494

ISBN: (纸本)9798331508500

Up to 75% of the geometric errors in milling processes can be traced back to the thermal expansions in high-speed motorized spindles due to changing operation conditions. In this study, we investigate various machine learning approaches to predict the thermal error and hereby improve the milling accuracy. First, we introduce an industrial dataset of milling processes with varying operation conditions. Second, we propose a hybrid model to combine physical domain knowledge with deep learning to reduce the amount of data required for successful prediction of the thermal error. Last, we evaluate the performance of the proposed models and benchmark our hybrid approach against established machine learning models. On unseen data, the best model of our study achieves a R 2 score of 0.96.

关键词： Deep learning Industries Thermal expansion computational modeling Velocity control Thermal engineering Training data Milling Data models Long short term memory

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Optimization of air flowrate under different control strategies focus on biological process in wastewater treatment plant

Optimization of air flowrate under different control strateg...

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ieee symposium Series on computational intelligence (ieee SSCI)

作者： Mallu, Lili Lorensia Sean, Wu-Yang Pacheco, Maria Chung Yuan Christian Univ Dept Environm Engn Chungli Taiwan

ISBN: (纸本)9781728190488

To optimize energy consumption is one of the major issues in wastewater treatment while maintaining effluent water quality standards. Aeration in biological processes requires more energy in wastewater treatment plants than other processes. In this study, simulations were conducted by using the ASM2d module of GPS-X. Several control strategies-namely, on/off dissolved oxygen control, proportional (P) / integral (I) dissolved oxygen control, and cascade ammonia control-are performed in biological processes to confirm the effects of ammonia reduction and optimize energy cost. According to the results of cascade control, it is 23 % smaller than the original energy cost. Sensitivity analysis was further proceeded to confirm the influence of tuning parameters, namely, proportional and integral gains. Consequently, proportional gain improves response speed and controls system accuracy. Integral gain is effective in decreasing the steady-state error of the system. The optimized values of proportional and integral gains lead to the best performance of aeration and provides a reference for first-phase plant operation.

关键词： Aeration system control strategy Ammonia concentration DO set-point Modelling PI control Cascade control

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Nonlinear Electromagnetic Force Model and Its Application to Magnetic Levitation control System 8

Nonlinear Electromagnetic Force Model and Its Application to...

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8th International Conference on control, automation and Robotics, ICCAR 2022

作者： Zhou, Danfeng Zhang, Te Wang, Lianchun Li, Jie College Of Intelligence Science And Technology National University Of Defense Technology Changsha China

ISBN: (纸本)9781665481168

The electromagnetic force in the magnetic levitation system is highly nonlinear, and the leakage flux brings in tremendous error to the conventional empirical formula, which makes the force feedback hard to use in a practical maglev controller. This paper aims to present a more precise but computational efficient force model for the estimation of the electromagnetic force during levitation. Different electromagnetic force models are presented for tests, and their parameters are determined by measured data and the least squares fit. Then the best model is selected. Experiments are carried out to validate the effect of the model on a levitation control test rig. Experimental results show that the estimated electromagnetic force agrees well with the actual force;the precision of the proposed nonlinear model is satisfactory and is easy to be used in a practical maglev controller. This work paves a way for a series of control algorithms that depends on electromagnetic force feedback, which is believed to behave more robustly in the presence of elastic track and track irregularities. © 2022 ieee.

关键词： Magnetic levitation

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Adaptive Backstepping control Design for Nonlinear System

Adaptive Backstepping Control Design for Nonlinear System

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International symposium on Applied computational intelligence and Informatics ( SACI)

作者： Mohammad Merei József K. Tar Doctoral School of Applied Informatics and Applied Mathematics Óbuda University Budapest Hungary Doctoral School of Applied Informatics and Applied Mathematics Antal Bejczy Center for Intelligent Robotics John von Neumann Faculty of Informatics Óbuda University Budapest Hungary

In this paper, adaptive backstepping control is investigated for coupled nonlinear springs. A dynamic model of coupled special nonlinear springs is established with uncertain parameters. The conventional adaptive approaches for nonlinear systems’ control use Lyapunov’s second method that need full state estimation. To overcome this problem an FPI-based Model Reference Adaptive Backstepping controller has been invented. The adaptive backstepping algorithm is designed to achieve stability for the nonlinear system. The idea of backstepping design is to coerce the error signal to zero by implementing a virtual control strategy. The consequences of the unknown parameters of the system are compensated by adaptive law. Simulation results are presented to show the effectiveness of the proposed control.

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Generating Cardiovascular Data by Integration of Physiological Information

Generating Cardiovascular Data by Integration of Physiologic...

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computational intelligence in Health and Medicine (CIHM), ieee symposium on

作者： Johannes Kummert Alexander Schulz Moriz Habigt Maike Stemmler Christina Kohler Dirk Abel Rolf Rossaint Barbara Hammer Machine Learning Group Bielefeld University Bielefeld Germany Anaesthesiology Clinic RWTH Aachen University Aachen Germany Institute of Automatic Control RWTH Aachen University Aachen Germany

ISBN: (数字)9798331508333

ISBN: (纸本)9798331508340

Medical data is a valuable resource that is under privacy constraints and often requires a substantial effort and cost to obtain. This is the case for physiological cardiovascular data that is among others utilized to develop assistive heart devices. In the present work, we aim to improve a GAN based generative approach from the literature by integrating physiological knowledge in form of pressure-value curves together with a dynamic time warping cost function into the model. We demonstrate that our adapted model generates more realistic cardiovascular signals as measured by targeted physiological markers and showcase that such generated signals can be used to improve a downstream task on real data.

关键词： Heart Adaptation models Visualization Data privacy Time series analysis Focusing Inspection Linear programming Physiology Data models

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control Method for Butterfly-Inspired Flapping-Wing Aircraft Using Fluid Dynamics Theory

Control Method for Butterfly-Inspired Flapping-Wing Aircraft...

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2025 International Conference on Electrical automation and Artificial intelligence, ICEAAI 2025

作者： Zhang, Siqi Zhang, Lin Harbin Institute of Technology Harbin China PLA77546 Lhasa Tibet China

ISBN: (纸本)9798331506797

Conventional aircraft encounter aerodynamic limitations at small scales and low Reynolds numbers, restricting the coordination of factors such as lift and thrust generation, flapping motion patterns, and flapping frequencies in butterfly-inspired flapping-wing aircraft. Additionally, accurate analysis of their aerodynamic forces is challenging, leading to poor control accuracy and real-time performance for these aircraft. To address these issues, a control method for butterfly-inspired flapping-wing aircraft using fluid dynamics theory is proposed. The main governing equations of fluid dynamics for the butterfly-inspired flapping-wing aircraft are established using computational fluid dynamics methods. The forced vibration method is employed to solve for the aircraft's dynamic derivatives, and a PID control approach is used to design the control law. By integrating structured overlapping grid technology, a closed-loop PID controller, and rudder deflection control law, effective control of the aircraft's attitude is achieved. Experimental results demonstrate that the proposed method offers high control accuracy and efficiency for the butterfly-inspired flapping-wing aircraft, ensuring real-time control of the aircraft's motion attitude by the base station host. © 2025 ieee.

关键词： Aerodynamic torque Butterfly-inspired flapping-wing aircraft Dynamic derivatives Fluid dynamics theory Hysteresis loop

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Bifurcations in a closed-loop model of tumor growth control 21

Bifurcations in a closed-loop model of tumor growth control

引用

21st ieee International symposium on computational intelligence and Informatics

作者： Drexler, Daniel Andras Nagy, Ilona Romanovski, Valery Obuda Univ Physiol Controls Res Ctr Becsi Ut 96-B H-1034 Budapest Hungary Budapest Univ Technol & Econ Inst Math Egri J Utca 1 H-1111 Budapest Hungary Univ Maribor Fac Elect Engn & Comp Sci Koroska Cesta 46 SI-2000 Maribor Slovenia Univ Maribor Ctr Appl Math & Theoret Phys Mladinska 3 SI-2000 Maribor Slovenia Univ Maribor Fac Nat Sci & Math Koroska Cesta 160 SI-2000 Maribor Slovenia

ISBN: (纸本)9781665426848

Model-based therapy generation can open new horizons in medicine. Cancer chemotherapy can be optimized using control theoretic methods based on mathematical models of tumor growth. We carry out the qualitative analysis of such a model using the simplest control scheme, i.e., P type control. We look for bifurcations for realistic values of tumor parameters. We show that it is possible to have bifurcations in the closed-loop system, and the qualitative behaviour depends on the initial conditions, and it is independent of the control gain. The analysis shows that the system has rich dynamics and the model can be used to reproduce complex phenomena occurring during real therapies.

关键词： tumor therapy cancer therapy tumor control singular point bifurcation limit cycle

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Real-Time Moving Horizon Estimation for Nonlinear Systems With Unknown Inputs 49

Real-Time Moving Horizon Estimation for Nonlinear Systems Wi...

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49th Annual Conference of the ieee Industrial Electronics Society, IECON 2023

作者： Du, Songtao Wan, Yiming Zhang, Cong Zhang, Sihang School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9798350331820

Moving horizon estimation (MHE) is a well-known alternative to Kalman-like filtering due to its superior performance in terms of estimation accuracy, convergence speed, and robustness to poor initial state guesses. However, most MHE methods cope with unknown inputs by introducing a random walk model, which is unsuitable for fast-varying unknown inputs. To address this issue, we propose an unknown input moving horizon estimator (MHE-UI) that does not require any prior knowledge of the dynamic behavior of unknown inputs. To solve the associated nonlinear least squares problem in real time, we develop a computationally efficient Gauss-Newton iterative algorithm by exploiting the block pentadiagonal structure of the resulting Karush-Kuhn-Tucker (KKT) matrix. A numerical case study demonstrates that the proposed real-time MHE-UI algorithm achieves higher estimation accuracy than the unknown input unscented Kalman filter (UKF-UI) and significantly reduces the computational cost compared to the exact MHE-UI algorithm. © 2023 ieee.

关键词： Nonlinear systems

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