Using Bressan-Colombo results, concerning the existence of continuous selections of lower semicontinuous multifunctions with decomposable values, we prove a continuous version of Filippov＇s theorem for a fractional i...Using Bressan-Colombo results, concerning the existence of continuous selections of lower semicontinuous multifunctions with decomposable values, we prove a continuous version of Filippov＇s theorem for a fractional integro-differential inclusion involving Caputo＇s fractional derivative. This result allows us to obtain a continuous selection of the solution set of the problem considered.展开更多
为了实现城市污水处理过程各性能指标的优化运行,提出了一种动态分解多目标粒子群优化控制(optimal control based on dynamic decomposed multiobjective particle swarm optimization, OC-DDMOPSO)策略.首先,构建了基于自适应核函数...为了实现城市污水处理过程各性能指标的优化运行,提出了一种动态分解多目标粒子群优化控制(optimal control based on dynamic decomposed multiobjective particle swarm optimization, OC-DDMOPSO)策略.首先,构建了基于自适应核函数的运行性能指标模型,确定了优化运行目标.其次,设计了基于档案库动态分解的多目标粒子群优化算法,实时获取操作变量的优化设定值.最后,利用预测控制策略跟踪优化设定值,完成了城市污水处理过程优化控制.将提出的OC-DDMOPSO应用于基准仿真平台BSM1,实验结果显示,OC-DDMOPSO能够实现城市污水处理过程稳定运行,保证出水水质达标排放和降低运行成本.展开更多
基金supported by CNCS grant PN-II-ID-PCE-2011-3-0198
文摘Using Bressan-Colombo results, concerning the existence of continuous selections of lower semicontinuous multifunctions with decomposable values, we prove a continuous version of Filippov＇s theorem for a fractional integro-differential inclusion involving Caputo＇s fractional derivative. This result allows us to obtain a continuous selection of the solution set of the problem considered.
文摘为了实现城市污水处理过程各性能指标的优化运行,提出了一种动态分解多目标粒子群优化控制(optimal control based on dynamic decomposed multiobjective particle swarm optimization, OC-DDMOPSO)策略.首先,构建了基于自适应核函数的运行性能指标模型,确定了优化运行目标.其次,设计了基于档案库动态分解的多目标粒子群优化算法,实时获取操作变量的优化设定值.最后,利用预测控制策略跟踪优化设定值,完成了城市污水处理过程优化控制.将提出的OC-DDMOPSO应用于基准仿真平台BSM1,实验结果显示,OC-DDMOPSO能够实现城市污水处理过程稳定运行,保证出水水质达标排放和降低运行成本.
