论文部分内容阅读
针对一类具有“领导者”的二阶非线性多智能体系统,提出一种输出反馈同步控制算法.该算法采用模糊逻辑系统逼近未知非线性函数,将动态面控制与指定性能控制相结合,降低了控制器设计的复杂性,而且保证了系统的暂态性能.稳定性分析证明了在多智能体系统状态不完全可测情形下,“跟随者”输出收敛于“领导者”输出的较小邻域内,并且同步误差始终保持在指定界内.以船舶航向同步控制为例,仿真验证了算法的有效性.
Aiming at a class of second-order nonlinear multi-agent systems with “leader ”, an output feedback synchronization control algorithm is proposed in this paper. The algorithm uses fuzzy logic to approximate unknown nonlinear functions and combines dynamic surface control with specified performance control phase The complexity of the controller design is reduced and the transient performance of the system is guaranteed.The stability analysis proves that “follower ” output converges to “under the condition that the state of multi-agent system is not completely measurable. In the smaller neighborhood of ”~~~~~~~