多智能体系统：排控制和非脆弱量化共识旨在展示多智能体系统设计排控制和非脆弱量化共识的最新研究成果。本书的主要特点是，基于改进的恒定时间间隔（MCTH）策略，提出了分布式自适应滑模控制（SMC）算法，以保证强字符串稳定性。MCTH政策用于消除大多数现有文献中不现实的假设，即初始间距、速度和加速度误差为零。
本专著将SMC技术与神经网络和模糊逻辑系统近似方法相结合，研究排控制问题。
Multi-Agent Systems: Platoon Control and Non-Fragile Quantized Consensus
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.
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