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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 Uncertainties 4.1 Introduction 4.2 Vehicle Platoon And Problem Formulation 4.3 Distributed Adaptive Integrated Sliding Mode Control (ISMC) Strategy 4.4 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 Deadz
This book investigates the challenges of achieving stable and robust consensus in multi-agent systems, specifically focusing on vehicle platoons and high-speed trains under conditions of external disturbances, nonlinear uncertainties, input saturation, and quantization. It presents advanced control strategies, including distributed adaptive integrated sliding mode control, neural network-based adaptive control, and adaptive fuzzy fault-tolerant control, to address these complex problems. The work aims to provide theoretical frameworks and practical simulation results for ensuring string stability, collision avoidance, and reliable operation in coordinated multi-agent systems.
This technical monograph offers a deep dive into advanced control methodologies for multi-agent systems, particularly vehicle platoons and high-speed trains. The content is structured around specific control challenges such as external disturbances, nonlinearities, input saturation, and quantization, suggesting a focus on rigorous theoretical development and simulation-based validation. The detailed chapter previews indicate a comprehensive treatment of integrated sliding mode control, neural network control, and fuzzy logic control, aimed at researchers and engineers in the field of control systems and intelligent transportation.
Page Count:
222
Publication Date:
2020-01-01
Publisher:
CRC Press/Taylor and Francis Group
ISBN-10:
0429287771
ISBN-13:
9780429287770
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