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Uncertainty Quantification for Recursive Estimation in Adaptive Safety-Critical Control

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Uncertainty Quantification for Recursive Estimation in Adapt...

American Control Conference (ACC)

作者： Max H. Cohen Makai Mann Kevin Leahy Calin Belta Department of Mechanical and Civil Engineering California Institute of Technology Pasadena CA Massachusetts Institute of Technology Lincoln Laboratory Lexington MA Department of Robotics Engineering Worcester Polytechnic Institute Worcester MA Department of Electrical and Computer Engineering University of Maryland College Park MD

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

In this paper, we present a framework for online parameter estimation and uncertainty quantification in the context of adaptive safety-critical control. The key insight enabling our approach is that the parameter estimate generated by the continuous-time recursive least squares (RLS) algorithm at any point in time is an affine transformation of the initial parameter estimate. This property allows for parameterizing such estimates using objects that are closed under affine transformation, such as zonotopes, and enables the efficient propagation of such set-based estimates as time progresses. We illustrate how such an approach facilitates the synthesis of safety-critical controllers for systems with parametric uncertainty and additive disturbances using control barrier functions, and demonstrate the utility of our approach through illustrative examples.

关键词： Uncertainty Parameter estimation Additives Control systems Recursive estimation

Emerging Role of Industry 5.0 Digital Twins in Demand Response Electricity Market and Applications

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Emerging Role of Industry 5.0 Digital Twins in Demand Respon...

2023 IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2023

作者： Onile, Abiodun E. Belikov, Juri Petlenkov, Eduard Levron, Yoash Department of Software Science Tallinn University of Technology Akadeemia tee 15a Tallinn12618 Estonia Department of Computer Systems Tallinn University of Technology Akadeemia tee 15a Tallinn12618 Estonia Faculty of Electrical and Computer Engineering Technion—Israel Institute of Technology Haifa3200003 Israel

ISBN: (纸本)9798350396782

Traditional power system is facing challenges demanding new operational requirements to meet targets of Net Zero Emissions by 2050. Aggregators are playing progressively important role in the demand response (DR) electricity market but are often riddled with deep level of market monopoly and lack of transparency/secrecy. Emerging real-time information technology (IT) applications and novel modelling of digital twins (DT) of individual electricity assets are challenging this position by promising improvements and openness that allows TSO direct access to available demand side flexibility. Additionally, DT technologies are facilitating how demand response services are delivered to end-users by allowing individual assets participation at the atomic level. In this study, the application potentials of assets’ DT in participating in the demand response electricity market was examined. Again, an overview of DT applications for DR was conducted. The novelty of this study is highlighted in development of new approach that facilitates individual end-user assets’ contribution to demand response efforts. The research identifies key useful questions that might serve as inspiration for stakeholders and policy-makers to further close existing gaps in the field of DT, smart-grid and demand response. © 2023 European Union.

关键词： Aggregators demand response digital twins Industry 5.0 smart-grid

Self-supervised Contrastive Learning for 6G UM-MIMO THz Communications: Improving Robustness Under Imperfect CSI

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arXiv 2024年

作者： Murshed, Rafid Umayer Ullah, Md Saheed Saquib, Mohammad Win, Moe Z. Department of Electrical and Computer Engineering The University of Texas DallasTX United States Department of Electrical and Computer Engineering University of Delaware Delaware United States Laboratory for Information and Decision Systems Massachusetts Institute of Technology Massachusetts United States

This paper investigates the potential of contrastive learning in 6G ultra-massive multiple-input multiple-output (UM-MIMO) communication systems, specifically focusing on hybrid beamforming under imperfect channel state information (CSI) conditions at THz. UM-MIMO systems are promising for future 6G wireless communication networks due to their high spectral efficiency and capacity. The accuracy of CSI significantly influences the performance of UM-MIMO systems. However, acquiring perfect CSI is challenging due to various practical constraints such as channel estimation errors, feedback delays, and hardware imperfections. To address this issue, we propose a novel self-supervised contrastive learning-based approach for hybrid beamforming, which is robust against imperfect CSI. We demonstrate the power of contrastive learning to tackle the challenges posed by imperfect CSI and show that our proposed method results in improved system performance in terms of achievable rate compared to traditional methods. © 2024, CC BY.

关键词： Self-supervised learning

Incentive Designs for Learning Agents to Stabilize Coupled Exogenous systems

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arXiv 2024年

作者： Certório, Jair Martins, Nuno C. La, Richard J. Arcak, Murat The Department of Electrical and Computer Engineering Institute for Systems Research University of Maryland College Park College ParkMD20740 United States The Department of Electrical Engineering and Computer Science University of California BerkeleyCA94720 United States

We consider a large population of learning agents noncooperatively selecting strategies from a common set, influencing the dynamics of an exogenous system (ES) we seek to stabilize at a desired equilibrium. Our approach is to design a dynamic payoff mechanism capable of shaping the population's strategy profile, thus affecting the ES's state, by offering incentives for specific strategies within budget limits. Employing system-theoretic passivity concepts, we establish conditions under which a payoff mechanism can be systematically constructed to ensure the global asymptotic stability of the ES's equilibrium. In comparison to previous approaches originally studied in the context of the so-called epidemic population games, the method proposed here allows for more realistic epidemic models and other types of ESs, such as predator-prey dynamics. The stability of the equilibrium is established with the support of a Lyapunov function, which provides useful bounds on the transient *** Codes 92D10, 92D25 © 2024, CC BY-NC-ND.

关键词： Budget control

Design of ANN Based Non-Linear Network Using Interconnection of Parallel Processor

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computer systems Science & engineering 2023年第9期46卷 3491-3508页

作者： Anjani Kumar Singha Swaleha Zubair Areej Malibari Nitish Pathak Shabana Urooj Neelam Sharma Department of Computer Science Aligarh Muslim UniversityAligarh202002India Department of Industrial and Systems Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology Bhagwan Parshuram Institute of Technology(BPIT)GGSIPUNew Delhi110078India Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Artificial Intelligence&Machine Learning Maharaja Agrasen Institute of Technology(MAIT)GGSIPUNew Delhi110086India

Suspicious mass traffic constantly evolves,making network behaviour tracing and structure more *** networks yield promising results by considering a sufficient number of processing elements with strong interconnections between *** offer efficient computational Hopfield neural networks models and optimization constraints used by undergoing a good amount of parallelism to yield optimal *** neural network(ANN)offers optimal solutions in classifying and clustering the various reels of data,and the results obtained purely depend on identifying a *** this research work,the design of optimized applications is presented in an organized *** addition,this research work examines theoretical approaches to achieving optimized results using *** mainly focuses on designing *** optimizing design approach of neural networks analyzes the internal process of the neural *** in developing the network are based on the interconnections among the hidden nodes and their learning *** methodology is proven best for nonlinear resource allocation problems with a suitable design and complex *** ANN proposed here considers more or less 46k nodes hidden inside 49 million connections employed on full-fledged parallel *** proposed ANN offered optimal results in real-world application problems,and the results were obtained using MATLAB.

关键词： Artificial neural network(ANN) multiprocessor hidden node nonlinear optimization parallel processing

High Impedance Fault Arc Modeling—A Review 2nd

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High Impedance Fault Arc Modeling—A Review

2nd International Conference on Power, Energy, Control, Signals and systems, IPECS 2022

作者： Varghese, P. Rini Subathra, M.S.P. Mathew, Cijo George, S. Thomas Sairamya, N.J. Department of Electrical and Electronics Engineering School of Engineering and Technology Karunya Institute of Technology and Sciences Tamil Nadu Coimbatore641114 India Department of Robotics Engineering School of Engineering and Technology Karunya Institute of Technology and Sciences Tamil Nadu Coimbatore641114 India Department of Mechanical Engineering Mar Athanasius College of Engineering Kerala Kothamangalam686666 India Department of Biomedical Engineering School of Engineering and Technology Karunya Institute of Technology and Sciences Tamil Nadu Coimbatore641114 India Department of Electrical and Computer Engineering Université du Québec a Trois-Rivières 3351 Bd Des Forges Trois-RivièresQCG8Z 4M3 Canada

ISBN: (纸本)9789819909148

HIF in a power system can be due to a broken or unbroken distribution line in a power system. The fault possesses dynamic features, including nonlinearity, randomness, asymmetry, shoulder, buildup, and intermittence. Thus, to address various power system issues, it became essential to model the arcing nature of the fault. This review paper summarizes the various HIF arc modeling from the year 1993−2021. It gives a broad insight into the evolution of various models like the Emanual arc model, Mayr’s model, Kizilcay model, Matthews’s arc model, two variable resistance model, fixed-resistance model, etc. To design and develop new protection schemes, a more accurate modeling of HIF is required for estimating the transient response of the power systems. Accurate fault transient prediction necessitates a complete and comprehensive characterization of all power system components. For the development of reliable HIF and Non-HIF detecting methods, accurate modeling is required. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Transient analysis

An Efficient Medium Access Control Mechanism for Flying Ad-hoc Networks

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computer systems Science & engineering 2021年第7期38卷 47-63页

作者： Muhammad Asghar Khan Fazal Noor Insaf Ullah Sajjad ur Rehman Shibli Nisar Mohaira Ahmad Department of Electronic Engineering ISRA UniversityIslamabad44000Pakistan Department of Computer Science and Information Systems Islamic University of MadinahMadinah400411Saudi Arabia Hamdard Institute of Engineering&Technology Islamabad44000Pakistan Department of Electrical Engineering Namal InstituteMianwali42200Pakistan Department of Electrical Engineering National University of Sciences and Technology(NUST)Islamabad44000Pakistan

The Flying Ad-hoc Networks(FANETs)is characterized by the transition from a single large Unmanned Aerial Vehicle(UAV)to multiple small UAVs connected in an ad-hoc *** high mobility is the core feature of such networks,they are prone to route breaks within the *** issue of connectivity loss can be coped with,to some extent,by making use of omnidirectional *** modification,however,curtails Quality-of-Service(QoS)requirements of networks in terms of bandwidth,media access delay,coverage and ***,directional antennas have advantages over omnidirectional antennas such as improved transmission range,spatial reuse and high ***,its introduction raises location-dependent issues to the Medium Access Control(MAC)*** calls for an efficient MAC protocol that can cater to new directional antenna models and,at the same time,can counter the constraints associated with the dynamic ***,in this article,we consider a UAV interconnection mechanism that lets the UAVs execute the communication tasks using the directional MAC *** technique is advantageous as compared to the approach of utilizing the MAC protocol using omnidirectional *** scheme is being implemented as a case study for Industry 4.0 inventory and traceability applications in the *** modeling and simulation purposes,we use the Optimized Network engineering Tool(OPNET)and aim to seek an evaluation with respect to throughput,media access delay,retransmission attempts and data *** results obtained demonstrate the effectiveness of the proposed scheme.

关键词： FANETs QoS Industry 4.0 IEEE 802.11 MAC OPNET mobility models directional antenna

Learning Closed-Loop Parametric Nash Equilibria of Multi-Agent Collaborative Field Coverage

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arXiv 2025年

作者： Chen, Jushan Paternain, Santiago Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute 110 8th St TroyNY12180 United States

Multi-agent reinforcement learning is a challenging and active field of research due to the inherent nonstationary property and coupling between agents. A popular approach to modeling the multi-agent interactions underlying the multi-agent RL problem is the Markov Game. There is a special type of Markov Game, termed Markov Potential Game, which allows us to reduce the Markov Game to a single-objective optimal control problem where the objective function is a potential function. In this work, we prove that a multi-agent collaborative field coverage problem, which is found in many engineering applications, can be formulated as a Markov Potential Game, and we can learn a parameterized closed-loop Nash Equilibrium by solving an equivalent single-objective optimal control problem. As a result, our algorithm is 10x faster during training compared to a game-theoretic baseline and converges faster during policy execution. © 2025, CC BY.

关键词： Markov processes

Convex Equilibrium-Free Stability and Performance Analysis of Discrete-Time Nonlinear systems

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arXiv 2024年

作者： Koelewijn, Patrick J.W. Weiland, Siep Tóth, Roland Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Netherlands Systems and Control Laboratory HUN-REN Institute for Computer Science and Control Hungary

This paper considers the equilibrium-free stability and performance analysis of discrete-time nonlinear systems. We consider two types of equilibrium-free notions. Namely, the universal shifted concept, which considers stability and performance w.r.t. all equilibrium points of the system, and the incremental concept, which considers stability and performance between trajectories of the system. In this paper, we show how universal shifted stability and performance of discrete-time systems can be analyzed by making use of the time-difference dynamics. Moreover, we extend the existing results for incremental dissipativity for discrete-time systems based on dissipativity analysis of the differential dynamics to more general state-dependent storage functions for less conservative results. Finally, we show how both these equilibrium-free notions can be cast as a convex analysis problem by making use of the linear parameter-varying framework, which is also demonstrated by means of an example. Copyright © 2024, The Authors. All rights reserved.

关键词： Nonlinear systems