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arXiv 2025年

作者： Biazetto, Paulo H.F. de Andrade, Gustavo A. Oliveira, Tiago Roux Krstic, Miroslav Post-graduate Program in Automation and Systems Engineering Federal University of Santa Catarina Florianópolis88040-370 Brazil Department of Automation and Systems Engineering Federal University of Santa Catarina Florianópolis88040-370 Brazil Department of Electronics and Telecommunication Engineering State University of Rio de Janeiro Rio de Janeiro20550-900 Brazil Department of Mechanical and Aerospace Engineering University of California San DiegoCA92093-0411 United States

This paper presents the design and analysis of an extremum seeking (ES) controller for scalar static maps in the context of infinite-dimensional dynamics governed by the 1D Euler-Bernoulli (EB) beam Partial Differential Equation (PDE). The beam is actuated at one end (using position and moment actuators). The map’s input is the displacement at the beam’s uncontrolled end, which is subject to a sliding boundary condition. Notably, ES for this class of PDEs remains unexplored in the existing literature. To compensate for PDE actuation dynamics, we employ a boundary control law via a backstepping transformation and averaging-based estimates for the gradient and Hessian of the static map to be optimized. This compensation controller leverages a Schrödinger equation representation of the EB beam and adapts existing backstepping designs to stabilize the beam. Using the semigroup and averaging theory in infinite dimensions, we prove local exponential convergence to a small neighborhood of the unknown optimal point. Finally, simulations illustrate the effectiveness of the design in optimizing the unknown static map. Copyright © 2025, The Authors. All rights reserved.

关键词： Schrodinger equation

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Cooperative Mainstream Traffic Flow Control on Freeways

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IFAC-PapersOnLine 2016年第32期49卷 89-94页

作者： Müller, Eduardo R. Carlson, Rodrigo C. Kraus, Werner Post-graduate Program in Automation and Systems Engineering Federal University of Santa Catarina FlorianópolisSC88040-900 Brazil

Mainstream Traffic Flow Control (MTFC) is a freeway traffic control method which aims to maximize throughput by regulating the mainstream flow upstream from a bottleneck. Using Variable Speed Limits (VSL) as actuators for MTFC, we study the effects of different penetration rates of automated vehicles on MTFC-VSL. Automated vehicles can be designed to be much more strict in complying with VSL, which leads to a better MTFC performance than with ordinary VSL. Simulation results show that higher penetration rates translate into better performance with a significant effect up to 30% penetration rate, and very little gains beyond that; and that mixing forms of applying VSL may be detrimental to traffic. © 2016

关键词： Highway traffic control Feedback control Flow control Speed control Automated vehicles Co operative systems Freeway traffic controls Mainstream flow Maximize throughput Penetration rates Traffic flow control Variable speed limits

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Adaptive Contextual Caching for Mobile Edge Large Language Model Service

arXiv

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arXiv 2025年

作者： Liu, Guangyuan Liu, Yinqiu Wang, Jiacheng Du, Hongyang Niyato, Dusit Kang, Jiawen Xiong, Zehui College of Computing and Data Science The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore College of Computing and Data Science Nanyang Technological University Singapore Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong School of Automation Guangdong University of Technology China Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore

Mobile edge Large Language Model (LLM) deployments face inherent constraints, such as limited computational resources and network bandwidth. Although Retrieval-Augmented Generation (RAG) mitigates some challenges by integrating external knowledge bases, inefficient cache management can still result in high retrieval latency and frequent cache updates. To address these issues, we propose an Adaptive Contextual Caching (ACC) framework that anticipates user needs by proactively caching semantically relevant data for mobile-edge LLMs. ACC utilizes a deep reinforcement learning (DRL) module to refine cache replacement policies, balancing user context, document similarity, and the overhead associated with cache misses. Experimental results demonstrate that ACC increases cache hit rates to over 80% after only 11 training episodes, outperforming FIFO, LRU, and semantic-only caching while reducing retrieval latency by up to 40%. In particular, ACC also reduces local caching overhead (i.e., the cost of updating the cache when a miss occurs) by as much as 55%, enabling scalable, low-latency LLM services in resource-constrained edge environments. © 2025, CC BY.

关键词： Deep reinforcement learning

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Training Swinging Door Trending Compression Algorithm for IoT devices 10

Training Swinging Door Trending Compression Algorithm for Io...

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10th IEEE World Forum on Internet of Things, WF-IoT 2024

作者： Correa, Juan David Arias Pinto, Alex Sandro Roschildt Montez, Carlos Post-graduate Program of Automation Systems Engineering Florianópolis Brazil Dept. of Informatics and Statistic Dept. of Automation and Systems Engineering Florianópolis Brazil Dept. of Automation and Systems Engineering Florianópolis Brazil

ISBN: (纸本)9798350373011

The communication system is essential for the devices used in IoT. Nevertheless, the consumption caused by transmitting and receiving data is a concern in many scenarios. That is due to these devices commonly having limited energy and computational capacities. Transmission of redundant or irrelevant samples frequently wastes the device's resources. Furthermore, Storing a large amount of redundant data could consume storage space and not offer any benefit. Data Compression (DC) methods are a potential solution. DC could reduce communication usage and storage demand. This research proposes the Training Swing Door Trending (TSDT) for being implemented in IoT Devices. TSDT is a new algorithm that improves the classic Swing Door Trending (STD). They represent the data by trend lines and have a constant computational complexity. TSDT has a training step for the automatic configuration of its parameters. This article additionally presents the Compression Factor (C-Score), a new quality metric to analyze the compression results in lossy DC methods. C-Score takes as a basis the F-Score, a measure of predictive performance. The C-Score uses the Compression and Error metrics to evaluate the compression performance in Lossy Algorithms. © 2024 IEEE.

关键词： Data compression ratio

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Combining of chaotic differential evolution and quadratic programming for economic dispatch optimization with valve-point effect (vol 21, pg 989, 2006)

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IEEE TRANSACTIONS ON POWER systems 2006年第3期21卷 1465-1465页

作者： dos Santos Coelho, Leandro Cocco Mariani, Viviana Production and Systems Engineering Graduate Program Automation and Systems Laboratory PUCPRJCCET/PPGEPSILAS Pontifical Catholic University of Paraná 802 15-901 Curitiba Paraná Brazil Mechanical Engineering Graduate Program PUCPRJCCETIPPGEM Pontifical Catholic University of Paraná 802 15-901 Curitiba Paraná Brazil

Evolutionary algorithms are heuristic methods that have yielded promising results for solving nonlinear, nondifferentiable, and multi-modal optimization problems in the power systems area. The differential evolution (DE) algorithm is an evolutionary algorithm that uses a rather greedy and less stochastic approach to problem solving than do classical evolutionary algorithms, such as genetic algorithms, evolutionary programming, and evolution strategies. DE also incorporates an efficient way of self-adapting mutation using small populations. The potentialities of DE are its simple structure, easy use, convergence property, quality of solution, and robustness. This paper proposes a new approach for solving economic load dispatch problems with valve-point effect. The proposed method combines the DE algorithm with the generator of chaos sequences and sequential quadratic programming (SQP) technique to optimize the performance of economic dispatch problems. The DE with chaos sequences is the global optimizer, and the SQP is used to fine-tune the DE run in a sequential manner. The combined methodology and its variants are validated for two test systems consisting of 13 and 40 thermal units whose incremental fuel cost function takes into account the valve-point loading effects. The proposed combined method outperforms other state-of-the-art algorithms in solving load dispatch problems with the valve-point effect. [ABSTRACT FROM AUTHOR]

关键词： Chaotic sequences differential evolution (DE) economic dispatch evolutionary algorithms optimization power generation valve-point effect

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Microscopic simulation analysis of Mainstream Traffic Flow Control with Variable Speed Limits

Microscopic simulation analysis of Mainstream Traffic Flow C...

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2013 16th International IEEE Conference on Intelligent Transportation systems: Intelligent Transportation systems for All Modes, ITSC 2013

作者： Muller, Eduardo R. Carlson, Rodrigo C. Kraus, Werner Papageorgiou, Markos Post-graduate Program in Automation and Systems Engineering Federal University of Santa Catarina Florianópolis-SC 88040-900 Brazil Post-graduate Program in Automation and Systems Engineering Center for Mobility Engineering Federal University of Santa Catarina Joinville-SC 89218-000 Brazil Department of Production Engineering and Managament Technical University of Crete Chania 73132 Greece

ISBN: (纸本)9781479929146

Mainstream Traffic Flow Control (MTFC) with Variable Speed Limits (VSL) is a freeway traffic control method which aims to maximize throughput by regulating the mainstream flow upstream from a bottleneck. Recent studies in a macroscopic simulator have shown optimal and feedback MTFC potential to improve traffic conditions. In this paper, local feedback MTFC is applied in microscopic simulation for an on-ramp merge bottleneck. Traffic behavior reveals important aspects that had not been previously captured in macroscopic simulation. Mainly, the more realistic VSL application at specific points instead of along an entire freeway section produces a slower traffic response to speed limit changes. In addition, the nonlinear speed limit-flow relation observed in the microscopic model is more pronounced than what was observed at the macroscopic level. After appropriate modifications in the control law significant improvements in traffic conditions were obtained. © 2013 IEEE.

关键词： Feedback

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L2 Input-to-State Stability and Stabilization of Coupled Linear ODE-Hyperbolic PDE systems∗ 63

L2 Input-to-State Stability and Stabilization of Coupled Lin...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Coutinho, Daniel Andrade, Gustavo Artur De Carvalho, Franthiescolly Vieira De Federal University of Santa Catarina Department of Automation and Systems Engineering Florianópolis88040-370 Brazil Federal University of Santa Catarina Post-graduate Program in Automation and Systems Engineering Florianópolis88040-370 Brazil

ISBN: (纸本)9798350316339

This paper addresses the problem of input-to-state stability (ISS) and stabilization of linear ordinary differential equations (ODEs) coupled with a system of homogeneous linear hyperbolic partial differential equations (PDEs) through the boundaries. First, a Lyapunov result characterizing the ISS property for finite-dimensional systems is extended to deal with coupled ODE and PDE systems. The proposed ISS condition is then applied to derive stability and stabilization conditions in terms of linear matrix inequality constraints assuming magnitude bounded disturbances at the boundaries. Two convex optimization problems are also proposed in order to obtain either an optimized reachable set estimate or a boundary controller that minimizes the disturbance effects on the L2 × R-norm of the system states. Numerical examples illustrate the potential of the proposed approach. © 2024 IEEE.

关键词： Convex optimization

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Resolution of one-dimensional bin packing problems using augmented neural networks and minimum bin slack

Resolution of one-dimensional bin packing problems using aug...

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作者： De Almeida, Ricardo Steiner, Maria Teresinha Arns Industrial and Systems Engineering Post-Graduate Program Pontifical Catholic University of Paraná - PUCPR Curitiba Brazil

The objective of this work is to compare the augmented neural network (AugNN) metaheuristic to minimum bin slack (MBS) heuristic to solve combinatorial optimisation problems, specifically, in this case, the one-dimensional bin packing problem (1D-BPP), a class of cutting and packing problems (CPP). CPP are easily found among various industry sectors and its proper treatment can improve the use of stocks in cutting problems or optimise physical space in packing problems. In order to optimise AugNN parameters, a design of experiment (DOE) was applied in order to guide a statistical analysis of different configurations of AugNN. The tests, developed in many benchmark problems found in the literature, showed that MBS heuristic was, in general superior, both in terms of the solution quality, which is about 70% better, and computational time, which is about 90% less. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： Design of experiments

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Itinerary determination of imprecise mobile agents with firm deadline

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Web Intelligence and Agent systems 2008年第4期6卷 421-439页

作者： Rech, Luciana Montez, Carlos De Oliveira, Rômulo Silva Department of Automation and Systems Engineering Graduate Program in Electrical Engineering Federal University of Santa Catarina P.O. Box 47 CEP 88040-900 Florianópolis SC Brazil

In some applications, as part of a mobile agent mission, there may be the necessity of meeting a firm end-to-end deadline, although with some itinerary flexibility due to optional resources. This paper proposes an execution model based on the concept of imprecise mobile agents with timing constraints. In this paper it is considered an execution model where agents do not previously know their itineraries. The imprecise mobile agent may choose among alternative and/or optional resources. The objective is to propose and to evaluate heuristics to be used individually or in pairs by imprecise mobile agents that must accomplish a mission within a firm deadline. © 2008 - IOS Press and the authors. All rights reserved.

关键词： Mobile agents

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Minimum realization tuning strategy for dynamic matrix control 19

Minimum realization tuning strategy for dynamic matrix contr...

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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Jeronymo, Daniel C. Coelho, Antonio A.R. Automation and Systems Engineering Graduate Program Federal University of Santa Catarina UFSC Florianópolis SC Brazil

ISBN: (纸本)9783902823625

In this paper autotuning and self-tuning methods for Dynamic Matrix Control (DMC) are presented with application to single-input single-output (SISO) processes which can be approximated by a first-order-plus-dead-time model. In order to validate the method a nonlinear control valve system described by a Wiener process is simulated. This process was identified by a Hammerstein model and controlled by DMC with output compensator. The proposed tuning methods have its performance compared to another standard method found in literature, showing more conservative results regarding smoothness of the control action while maintaining adequate performance on set-point tracking. © IFAC.

关键词： Three term control systems

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