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 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. Key Features Aims to develop a theoretical framework for platoon control and non-fragile quantized consensus for multi-agent systems in the framework of adaptive control technique, sliding mode control technique, LMI techniques, barrier Lyapunov function approach and neural network and fuzzy logic system approximation methods. Presents guidelines for designing platoon control with guaranteed strong string stability and non-fragile quantized consensus with respect to input quantization mismatch and interval controller coefficient variations. Provides a coherent approach and contains valuable reference materials for researchers wishing to explore the area of multi-agent control systems. Book jacket.