3 . a kind of urban traffic coordination control arithmetic based on distributed q-learning is designed for the distributed control structure of multi-agent . and designed a kind of reward function and distributed weight function, which are fit to the fields of traffic control 3.針對multi-agent框架體系的分布式控制結構,設計了一種分布式q學習算法,并且提出了一種適用于交通控制領域的獎懲函數(shù)以及分布權值函數(shù)。
based on the obtained lower bounds on mean squared channel estimation errors, the limits on bit error rate ( ber ) for maximal ratio combining ( mrc ) with gaussian distributed weighting errors on independent and identically distributed ( i . i . d ) fading channels are presented 通過對不同衰落信道多普勒譜的積分,求出了相應的信道估計均方誤差下界的閉合表達式,并在此基礎上得到了分集系統(tǒng)在獨立同分布的衰落信道中采用最大比合并時的誤碼率下界。