参考模型自适应方法在主从对策中的应用

Application of Model-reference Adaptive Technique to Stackelberg Games

用参考模型自适应方法,处理两类参数未知的线性动态主从对策,得出相应的自适应鼓励策略,并指出了算法的收敛性。讨论建立在波波夫超稳定性与李雅普诺夫稳定性基础上。

Introduces model-reference adaptive technique to two kinds of linear dynamic stackelberg games with unknown parameters. The adaptive incentive strategies are thus given with the algorithm convergence proved. The discussion is based on Liapunov's stability theorem and Popov's hyperstability theorem.