Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus

by Guo, Xiang-Gui

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Title Statements

Full title :Multi-Agent Systems : Platoon Control and Non-Fragile Quantized Consensus / Xiang-Gui Guo, Jian-Liang Wang, Fang Liao, Rodney Teo.

Summary

1 Introduction 1.1 Platoon Control 1.2 Non-Fragile Quantized Consensus 1.3 Preview of Chapters 2 Preliminaries 2.1 Notations 2.2 Acronyms 2.3 String Stability Theory 2.4 Basic Algebraic Graph Theory 2.5 H∞ Performance Index 2.6 Some Other Definitions and Lemmas 3 String Stability of Vehicle Platoons with External Disturbances 3.1 Introduction 3.2 Model Description And Problem Formulation 3.3 Design of Distributed Adaptive Integrated Sliding Mode (ISM) Control 3.4 Numerical Examples 3.5 Conclusion 4 String Stability of Vehicle Platoons with Nonlinear Acceleration Uncertainties4.1 Introduction 4.2 Vehicle Platoon And Problem Formulation 4.3 Distributed Adaptive Integrated Sliding Mode Control (ISMC) Strategy4.4 Simulation Study and Performance Results 4.5 Conclusion 5 CNN-Based Adaptive Control for Vehicle Platoon with Input Saturation 5.1 Introduction 5.2 Vehicle-Following Platoon Model and Preliminaries 5.3 Distributed Adaptive NN Control Design and Stability Analysis 5.4 Simulation Study and Performance Results 5.5 Conclusion 6 Adaptive Fuzzy Fault-Tolerant Control for Multiple High-Speed Trains 6.1 Introduction 6.2 High-Speed Train Dynamics and Preliminaries 6.3 PI-Based Sliding Mode and Coupled Sliding Mode 6.4 Adaptive Fuzzy Control Design and Stability Analysis 6.5 Simulation Study and Performance Results 6.6 Conclusion 7 Collision Avoidance for Vehicle Platoon with Input Deadzone and Spacing Constraints 7.1 Introduction 7.2 Vehicular Platoon Model And Preliminaries 7.3 Distributed Adaptive NN Control Design 7.4 Simulation Study 7.5 Conclusion 8 Neuro-Adaptive Quantized PID-Based SMC of Vehicular Platoon with Deadzone8.1 Introduction 8.2 Vehicle-Following Platoon Model And Preliminaries 8.3 Neuro-Adaptive Quantized PIDSMC Design and Strong String Stability Analysis 8.4 Simulation Study 8.5 Conclusion 9 Low-Complexity Control of Vehicular Platoon with Asymmetric Saturation 9.1 Introduction 9.2 Vehicular Platoon Description 9.3 Adaptive PIDSMC Design and Strong String Stability Analysis 9.4 Simulation Results 9.5 Conclusion 10 Non-Fragile Quantized Consensus for Multi-Agent Systems Based On Incidence Matrix 10.1 Introduction 10.2 Uniform Quantizer and Logarithmic Quantizer 10.3 Problem Formulation 10.4 Non-Fragile Quantized Controller Design 10.5 Numerical Example 10.6 Conclusion 11 Non-Fragile H∞ Consensus for Multi-Agent Systems With Interval-Bounded Variations 11.1 Introduction 11.2 Problem Formulation 11.3 Non-Fragile H∞ Consensus For Multi-Agent Systems 11.4 Numerical Example 11.5 Conclusions 12 Quantized H∞ Consensus for Multi-Agent Systems With Quantization Mismatch 12.1 Introduction 12.2 Quantized H∞ Consensus for General Linear Dynamics 12.3 Quantized H∞ Consensus for Lipschitz Nonlinearity 12.4 Numerical Examples 12.4.1 Example 1 12.4.2 Example 2 12.5 Conclusion Bibliography Index

Edition Statements

Publication Date:2020

Publication Statements

Publisher(s):CRC Press
Place of Publication:Boca Raton, FL
Language:eng
Publication Date:2020

Notes

Includes bibliographical references and index.

The Physical Object

Description:1 Online-Ressource.

Edition Identifiers

ISBN:9780429287770, 0429287771, 9781000228960, 1000228967, 9781000264906, 1000264904, 9781000300840, 1000300846
DOI:10.1201/9780429287770
oclc:on1159982454
LC Classification:QA76.76.I58
Dewey Decimal:006.3/0285436

Subjects

Automated vehicles Motor vehicle fleets -- Data processing Multiagent systems Neural networks (Computer science) Neural Networks, Computer Parcs de véhicules automobiles -- Infor… Réseaux neuronaux (Informatique) Systèmes multiagents (Intelligence arti… TECHNOLOGY -- Electricity TECHNOLOGY / Electronics / General Véhicules autonomes