£138.66

Elsevier Vehicular Platoon System Design: Fundamentals and Robustness (Clinical and Medical Innovation)

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£150.66 £137.46 £140.34 £143.22 £146.10 £148.98 £151.86 02 May 2026 21 May 2026 09 June 2026 28 June 2026 18 July 2026

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1 day · current 53 days 12 days 5 days 7 days 0 13 27 40 53 £139 £140 £147 £148 £151 Days at Price

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Most common price: £140 (53 days, 67.9%)

Price range: £139 - £151

Price levels: 5 different prices over 78 days

Description

Vehicular Platoon System Design: Fundamentals and Robustness provides a comprehensive introduction to connected and automated vehicular platoon system design. Platoons decrease the distances between cars or trucks using electronic, and possibly mechanical, coupling. This capability allows many cars or trucks to accelerate or brake simultaneously. It also allows for a closer headway between vehicles by eliminating reacting distance needed for human reaction. The book considers the key issues of robustness and cybersecurity, with optimization-based model predictive control schemes applied to control vehicle platoon. In the controller design part, several practical problems, such as constraint handling, optimal control performance, robustness against disturbance, and resilience against cyberattacks are reviewed. In addition, the book provides detailed theoretical analysis of the stability of the platoon under different control schemes. Provides a comprehensive introduction to the state-of-the-art development of connected and automated vehicular platoon systems Covers the advanced, robust and stochastic model predictive control algorithm design methods for constraint handling and robustness improvement Introduces rigorous theoretical stability analysis from the robust tube-based distributedMPC (Model Predictive Control) and stochastic tube-based distributed MPC perspectives Offers various filter-based inter-vehicle attack detection methods and event-based resilient vehicle platoon control design methods

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 August 2024
Listed Since
17 January 2024

Barcode

No barcode data available

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