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中文摘要：
针对污水处理过程（Wastewater treatment process,WWTP）溶解氧（Dissolved oxygen,DO）及硝态氮浓度控制问题,提出了一种多评价指标的DHP（Dual heuristic dynamic programming）控制策略.该策略能够降低评价指标的复杂性,提高评价网络的逼近精度.采用回声状态网络（Echo state networks,ESNs）实现评价函数及控制策略的逼近,研究了控制器的在线学习算法.实验表明,该策略在控制性能上优于单评价指标的DHP策略及常规PID控制策略.
英文摘要：
In order to solve the problem of controlling dissolved oxygen（DO） concentration and nitrate concentration of waster-water treatment process（WWTP）,a multi critic indices dual heuristic dynamic programming（MDHP） policy is proposed.The approximating precision can be improved through lowering the complexity between the relationship of the critic network s outputs and inputs in this scheme.Echo state networks（ESNs） are adopted to approximate the critic indices and the optimal control policy.Online learning method of the controller is inves-tigated.Experimental results indicate that the MDHP scheme has some advantages over single critic index DHP（SDHP） and PID in control performance.
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