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Titlebook: Computation-Aware Algorithmic Design for Cyber-Physical Systems; Maria Prandini,Ricardo G. Sanfelice Book 2023 The Editor(s) (if applicabl

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发表于 2025-3-21 19:35:34 | 显示全部楼层 |阅读模式
书目名称Computation-Aware Algorithmic Design for Cyber-Physical Systems
编辑Maria Prandini,Ricardo G. Sanfelice
视频video
概述Explores challenges imposed on analysis and design by computation and communication constraints.Features chapters written by experts on cyber-physical systems from both academia and industry.Highlight
丛书名称Systems & Control: Foundations & Applications
图书封面Titlebook: Computation-Aware Algorithmic Design for Cyber-Physical Systems;  Maria Prandini,Ricardo G. Sanfelice Book 2023 The Editor(s) (if applicabl
描述This contributed volume aims to build the foundation of a framework for computationally aware algorithmic design for cyber-physical systems (CPSs), focusing on approaches that take computation into account at the design stage to address their impact on performance and safety.  It demonstrates how novel techniques may emerge from the combination of formal methods, model predictive control, distributed optimization, data-driven methods, reconfigurable/adaptive methods, and information-theoretic techniques..Chapters are written by both researchers and practitioners and cover such topics as .analysis and design of uncertain CPSs, .cooperative and non-cooperative paradigms for handling complexity in large scale CPSs,.task-relevant environment abstractions for autonomous systems based on information theory,.information flow in event-based stabilization of CPSs,.set-valued model predictive control, and.automated synthesis of certifiable controllers for CPSs..State-of-the-art applications and case studies are provided throughout with a special focus on intelligent transportation systems and autonomous vehicles..Graduate students and researchers with an interest in CPS verification and cont
出版日期Book 2023
关键词Cyber-Physical Systems; Computational-Aware Algorithms; Communicated Constrained Design; Model Predicti
版次1
doihttps://doi.org/10.1007/978-3-031-43448-8
isbn_softcover978-3-031-43450-1
isbn_ebook978-3-031-43448-8Series ISSN 2324-9749 Series E-ISSN 2324-9757
issn_series 2324-9749
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Analysis and Design of Uncertain Cyber-Physical Systems,ementation platform, such as physical and functional redundancy. CPS have evolved in the past decades toward a higher-level of autonomy and a more decentralized and connected implementation. The evolution toward more autonomous systems has changed the computation and communication workloads, demandi
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Platoon Coordination in Large-Scale Networks: A Game Theoretic Approach,ial vehicle fleet consists of vehicles owned by different transportation companies with different objectives. To capture their strategic behavior, we study platoon coordination that aims to maximize profits for individual vehicles. The interaction among vehicles is modeled as a non-cooperative game.
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Information Flow in Event-Based Stabilization of Cyber-Physical Systems,ts that are cornerstones for the theory of cyber-physical systems (CPS) have been derived. This chapter reviews these developments with a particular emphasis on recent advancements obtained in the context of event-triggering control. In this framework, a basic realization is that, in the same way th
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Data-Driven Estimation of Forward Reachable Sets, systems of practical interest possess high-dimensional, analytically intractable, and possibly unknown dynamics, which make the computation of safe sets with formal guarantees difficult or impossible. In these cases, we can employ a data-driven approach to reachability analysis instead. The data-dr
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Automated Synthesis of Certifiable Controllers for Cyber-Physical Systems: A Computation-Aware Apprents and, at the same time, automating the development and deployment phases. . is first introduced as an approach for automated synthesis of controllers for CPS in which finite abstractions of CPS are constructed and then controllers are algorithmically synthesized for them. We then identify some i
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