Guo X. Multi-Agent Systems. Platoon Control...2020

Textbook in PDF format

Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus aims to present recent research results in designing platoon control and non-fragile quantized consensus for multi-agent systems. The main feature of this book is that distributed adaptive sliding mode control (SMC) algorithms are proposed to guarantee strong string stability based on modified constant time headway (MCTH) policy. The MCTH policy is used to remove the unrealistic assumption in the most existing literature that initial spacing, velocity and acceleration errors are zero. This monograph investigates the platoon control issue by combining SMC technique with neural network and fuzzy logic system approximation methods.
Introduction
Preliminaries
String Stability of Vehicle Platoons with External Disturbances
String Stability of Vehicle Platoons with Nonlinear Acceleration Uncertainties
CNN-Based Adaptive Control for Vehicle Platoon with Input Saturation
Adaptive Fuzzy Fault-Tolerant Control for Multiple High Speed Trains
Collision Avoidance for Vehicle Platoon with Input Deadzone
Neuro-Adaptive Quantized PID-Based SMC of Vehicular Platoon with Deadzone
Low-Complexity Control of Vehicular Platoon with Asymmetric Saturation
Non-Fragile Quantized Consensus for Multi-Agent Systems Based on Incidence Matrix
Consensus for Multi-Agent Systems with Interval-Bounded Variations
Consensus for Multi-Agent Systems with Quantization Mismatch