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TOWARDS A MULTI-USER EXPERIENCE DATA-DRIVEN DESIGN FRAMEWORK FOR SUSTAINABLE SMART TAKE-AWAY FOOD PACKAGING

TOWARDS A MULTI-USER EXPERIENCE DATA-DRIVEN DESIGN FRAMEWORK...

ASME 2024 International Design engineering Technical Conferences and Computers and Information in engineering Conference, IDETC-CIE 2024

作者： Camilleri, Tamasine Farrugia, Philip Refalo, Paul Bugeja, Marvin Department of Industrial & Manufacturing Engineering Faculty of Engineering University of Malta Msida Malta Department of Systems & Control Engineering Faculty of Engineering University of Malta Msida Malta

ISBN: (纸本)9780791888353

Smart packaging transcends traditional packaging’s basic functions by meeting emerging consumer expectations for quality and sustainability. COVID-19 has notably increased take-away orders, spotlighting the need for sustainable food packaging. By incorporating smart features, packaging usability is enhanced, and the likelihood of disposal due to obsolescence is reduced. Moreover, smart packaging acceptance relies on consumer values. To address these evolving needs, designers are encouraged to embrace a user-centered design (UCD) approach to develop sustainable smart take-away packaging. However, a review of literature reveals a gap in design support systems that could assist designers in this endeavor. Interviews with packaging designers outlined framework requirements, leading to the creation of SUSTAIN-MULTI-UCD. This framework advocates for a multi-UCD approach tailored for sustainable smart take-away packaging development. The innovative use of big data analytics in this context enables gathering diverse user data to help enhance user experience. The SUSTAIN-MULTI-UCD contribution lies in applying big data analytics to the data-driven UCD of sustainable smart take-away packaging, offering insights that could be beneficial across various food packaging applications. Furthermore, innovations in the framework’s data-driven approaches, such as the application of topic modelling and text classification, identifies user requirements, and furthermore guides the designer on how to meet these needs. Copyright © 2024 by ASME.

关键词： UX Data-driven design Design Food products Packaging design support framework Sustainability smart food packaging sustainable design big data analysis

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CONTINUOUS-TIME IDENTIFICATION OF DYNAMIC STATE-SPACE MODELS BY DEEP SUBSPACE ENCODING 11

CONTINUOUS-TIME IDENTIFICATION OF DYNAMIC STATE-SPACE MODELS...

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11th International Conference on Learning Representations, ICLR 2023

作者： Beintema, Gerben I. Schoukens, Maarten Tóth, Roland Department of Electrical Engineering Eindhoven University of Technology Netherlands Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

Continuous-time (CT) modeling has proven to provide improved sample efficiency and interpretability in learning the dynamical behavior of physical systems compared to discrete-time (DT) models. However, even with numerous recent developments, the CT nonlinear state-space (NL-SS) model identification problem remains to be solved in full, considering common experimental aspects such as the presence of external inputs, measurement noise, latent states, and general robustness. This paper presents a novel estimation method that addresses all these aspects and that can obtain state-of-the-art results on multiple benchmarks with compact fully connected neural networks capturing the CT dynamics. The proposed estimation method called the subspace encoder approach (SUBNET) ascertains these results by efficiently approximating the complete simulation loss by evaluating short simulations on subsections of the data, by using an encoder function to estimate the initial state for each subsection and a novel state-derivative normalization to ensure stability and good numerical conditioning of the training process. We prove that the use of subsections increases cost function smoothness together with the necessary requirements for the existence of the encoder function and we show that the proposed state-derivative normalization is essential for reliable estimation of CT NL-SS models. © 2023 11th International Conference on Learning Representations, ICLR 2023. All rights reserved.

关键词： Cost functions

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Nested Sliding Mode control Based Impact Angle Guidance with Bounded Input

Nested Sliding Mode Control Based Impact Angle Guidance with...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Surve, Prajakta Kumar, Shashi Ranjan Intelligent Systems & Control Lab Department of Aerospace Engineering Indian Institute of Technology Bombay Powai Mumbai400076 India

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

In this paper, a nonlinear guidance law for impact angle-constrained interception of nonmaneuvering targets, respecting the bounds on the control input - the commanded interceptor lateral acceleration, is proposed. By modeling the required interceptor lateral acceleration as a first-order dynamics, which is a function of the maximum permissible value of control input and guidance command, the control input is maintained within the predefined bounds. The dynamics is chosen in such a way that the resulting input will never violate the prescribed bounds. To design the guidance command, also known as commanded lateral acceleration, we employ a sliding surface based on the error between actual and desired line-of-sight (LOS) angles and the LOS rate, facilitating a collision course with zero miss distance. A secondary sliding surface is designed as a function of the primary sliding surface and its rate. This sliding surface enables the control over the required interceptor lateral acceleration. An effective guidance command for precise interception at given impact angle, considering the bounds on control input, is then derived using the sliding mode control technique. Numerical simulations validate the merits and claims of the presented guidance approach. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Sliding mode control

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Adaptive Unscented Kalman Filter Based Sensor Fusion for Aircraft Positioning Relative to Unknown Runway

Adaptive Unscented Kalman Filter Based Sensor Fusion for Air...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Ghosh, Nabarun Maity, Arnab Intelligent Systems and Control Lab Department of Aerospace Engineering Indian Institute of Technology Bombay Maharashtra Mumbai400076 India

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

This paper proposes an estimator to provide precise position, velocity, and orientation for a landing aircraft relative to the runway based on image sensors, IMU sensor data, and barometric sensor measurements. This work excludes GPS data, as it is expected that the proposed estimator can be used for fault detection in GPS and instrument landing systems. The runway is unknown, and hence, its width is estimated online. An adaptive UKF-based approach is adopted to estimate the states. In order to verify the nearer-to-practical performance and accuracy of bias estimation, realistically simulated data that constitute noises and biases from the sensors are taken into consideration. The proposed approach provides a solution for nonlinear state estimation in the presence of measurement noises that are non-additive. In addition to this, it provides estimates of the unknown measurement noise covariance. A comparative study is conducted between the conventional UKF and the proposed AUKF to analyze the adopted approach. Results show that the proposed algorithm gives comparable estimation results and faster convergence than the conventional UKF. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Fault detection

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LoRaWAN Sensors Integration for Manufacturing Applications via Edge Device Model with OPC UA 28

LoRaWAN Sensors Integration for Manufacturing Applications v...

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28th International Conference on Applied Electronics, AE 2023

作者： Peniak, Peter Holečko, Peter Bubeniková, Emilia Kanáliková, Alžbeta University of Žilina Žilina Faculty of Electrical Engineering Engineering and Information Technology Department of Control and Information Systems Slovakia University of Žilina Faculty of Electrical Engineering and Information Technology Department of Control and Information Systems Žilina Slovakia

ISBN: (纸本)9798350335538

The article deals with the integration of Lo(ng) Ra(nge) Wide Area network (LoRaWAN) sensors with generic manufacturing applications and Industrial Internet of Things (IIoT) use-cases. The focus is on creating a suitable Edge device model that enables the integration of specific Long Range (LoRa) sensors together with the other generic Internet of Things (IoT/IIoT). The model is based on the Open Platform Communications Unified Architecture (OPC UA) standard, which is the most suitable integration platform for various control systems and manufacturing applications. The model was implemented in Node-RED software and subsequently validated to confirm the required integration of LoRaWAN sensors within OPC UA models. In contrast to other approaches based on integration gateway or LoRaWAN/OPC UA protocol convertors, the proposed model utilizes extended capabilities of Edge computing. It enables Edge processing and data transformation of LoRaWAN sensors data transferred by Message Queuing Telemetry Transport (MQTT) protocol from the network server, based on requirements of manufacturing applications for cloud solutions. © 2023 IEEE.

关键词： Wide area networks

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Deep Reinforcement Learning for Autonomous Target Tracking of Hostile Ground Targets in Wind Disturbed Environments with Sun Concealment

Deep Reinforcement Learning for Autonomous Target Tracking o...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Clem, Payton Valasek, John Vehicle Systems and Control Laboratory Aerospace Engineering Department Texas A and M University College StationTX United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Dynamic control for aerial tracking can be complicated by the addition of secondary goals such as concealment, which may be necessary in intelligence, surveillance, and reconnaissance (ISR) mission. Therefore, a RL agent was developed to provide see if there is an optimal method of tracking hostile ground targets in utilizing the sun for conclealment. The agent would control a multirotor unmanned air system equipped with a non-gimbaled optical sensor, such that the agent must modulate vehicle attitude to change the sensor’s field of view for tracking the target. A Soft Actor-Critic reinforcement learning controller is developed to handle tracking of maneuvering ground targets while considering of environmental effects such as windy environments, as well as the tactical use of the sun for concealment by the agent from the target. Reward structure selection and refinement is also investigated. Results presented in the paper demonstrate a reward structure effective in mitigating undesirable emergent behaviors such as diving, pitch and yaw ringing that was present in training. Additionally, it examines the influence of incorporating the sun into the reward function, presenting its impact on the agent’s behavior and tracking performance. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Reinforcement learning

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Connections Between Integral Quadratic Constraints and Dissipativity

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IEEE Transactions on Automatic control 2024年第8期69卷 5672-5677页

作者： Khong, Sei Zhen Lanzon, Alexander National Sun Yat-sen University Department of Electrical Engineering Kaohsiung80424 Taiwan University of Manchester Control Systems Centre Department of Electrical and Electronic Engineering School of Engineering ManchesterM13 9PL United Kingdom

We show that a recent dissipativity approach to feedback stability analysis of potentially open-loop unstable systems, which encompasses the classical soft integral quadratic constraint (IQC) theorem, may be recovered by hard IQC theory. The latter is known to be subsumable by the more general soft IQC theory endowed with homotopies that are continuous in the gap topology. In addition, we demonstrate how the aforementioned classical soft IQC theorem, initially introduced for the analysis of a feedback interconnection of a nonlinear component and a linear system, may be recast to analyze the stability of a feedback interconnection of two nonlinear systems. This generates a frequency-dependent (Q(ω), S(ω), R(ω))-dissipativity result. © 1963-2012 IEEE.

关键词： Stability criteria

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Prescribed-Time Nash Equilibrium Seeking for Pursuit-Evasion Game

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1518-1520页

作者： Lei Xue Jianfeng Ye Yongbao Wu Jian Liu D.C.Wunsch Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationNanjing 210096 School of Automation Southeast UniversityNanjing 210096China Department of Electrical and Computer Engineering Missouri University of Science and TechnologyRollaMO 65409 USA IEEE

Dear Editor,This letter is concerned with prescribed-time Nash equilibrium(PTNE)seeking problem in a pursuit-evasion game(PEG)involving agents with second-order *** order to achieve the prior-given and user-defined convergence time for the PEG,a PTNE seeking algorithm has been developed to facilitate collaboration among multiple pursuers for capturing the evader without the need for any global ***,it is theoretically proved that the prescribedtime convergence of the designed algorithm for achieving Nash equilibrium of ***,the effectiveness of the PTNE method was validated by numerical simulation results.A PEG consists of two groups of agents:evaders and *** pursuers aim to capture the evaders through cooperative efforts,while the evaders strive to evade *** is a classic noncooperative *** has attracted plenty of attention due to its wide application scenarios,such as smart grids[1],formation control[2],[3],and spacecraft rendezvous[4].It is noteworthy that most previous research on seeking the Nash equilibrium of the game,where no agent has an incentive to change its actions,has focused on asymptotic and exponential convergence[5]-[7].

关键词： seeking prescribed convergence

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On Sparse Nonlinear System Identification Using Orthogonal Matching Pursuit, Orthogonal Least Squares and LASSO 32

On Sparse Nonlinear System Identification Using Orthogonal M...

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32nd Mediterranean Conference on control and Automation, MED 2024

作者： Wei, Hua-Liang The University of Sheffield The Department of Automatic Control and Systems Engineering SheffieldSI 3JD United Kingdom

ISBN: (纸本)9798350395440

System identification, as a rich and vital discipline, provides a practical and general methodology and tool for quantitatively modelling the input-output relationships of dynamical systems. Sparse nonlinear system identification (SNSI), especially parametric sparse nonlinear system identification (PSNSI), is an important and vital field of research with a wide range of applications. This work is concerned with PSNSI and particular attention is paid to the assessment of three well-known mainstream sparse learning methods, namely, orthogonal least squares (OLS), orthogonal matching pursuit (OMP) and least absolute shrinkage and selection operator (LASSO). The performances of these methods are tested and evaluated through three case studies relating to PSNSI problems. The research results and findings of this work provide practical useful information and guidance for researchers to better choose or adapt methods when solving PSNSI problems. © 2024 IEEE.

关键词： Dynamical systems

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Comparison of PD-NOMA Capacity with Conventional and Joint Gray-Mapping 25

Comparison of PD-NOMA Capacity with Conventional and Joint G...

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25th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2024

作者： Brovkin, Andrey A. Kryukov, Yakov V. Pokamestov, Dmitriy A. Shinkevich, Artem S. Shalin, Georgiy N. Ilinskiy, Dmitriy E. Department of Telecommunications and Basic Principles of Radio Engineering Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

ISBN: (纸本)9798350389234

The paper compares two bit-mapping approaches for non-orthogonal multiple access with channel separation in power domain in a system with two users. In the first approach, bit mapping to modulation symbols is implemented independently for each user, and in the second approach, joint Gray-mapping is implemented. This allows for increasing the bit error rate performance of the user channel with a "strong" propagation channel and extending the range of acceptable values for power allocation. For this paper, we have constructed capacity maps that show the total spectral efficiency of channels depending on their channel states. The system model uses signal-code constructions combining quadrature amplitude modulation and polar codes. It is shown that the joint bit mapping allows for greater spectral efficiency under identical conditions. We have performed a computer simulation to evaluate the average spectral efficiency that was calculated in a system with one base station and 10 users, observing the planning strategy of max-min fair. The results demonstrate that the joint Gray-mapping makes it possible to increase the average spectral efficiency of the system by 3.3% compared with the independent mapping. © 2024 IEEE.

关键词： Quadrature amplitude modulation

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