Beam transport network(BTN)with small world(SW)(so-called BTN-SW)and Lorenz chaotic connectednetwork with scale-free(SF)are taken as two typical examples,we proposed a global linear coupling and combined withlocal err...Beam transport network(BTN)with small world(SW)(so-called BTN-SW)and Lorenz chaotic connectednetwork with scale-free(SF)are taken as two typical examples,we proposed a global linear coupling and combined withlocal error feedback methods in sub-networks to realize multi-goal control method of halo and chaos in two networksabove.The simulation results show that the methods above is effective for any chaotic connected networks and has apotential of applications in based-halo-chaos secure communication.展开更多
Multi</span><span><span style="font-family:"">-</span></span><span><span style="font-family:"">goal and multi-objective optimizations are similar...Multi</span><span><span style="font-family:"">-</span></span><span><span style="font-family:"">goal and multi-objective optimizations are similar techniques to</span></span><span><span style="font-family:""> achieve <span>multiple conflicting goals/objectives simultaneously. There are several tech</span>niques <span>for solving multi-goal and multi-objective optimization problems. The</span> <span>present </span><span>study proposed the possibility of convertibility in solving multi-goal and mul</span>ti-objective optimization problems.展开更多
针对当前多智能体协同优化缺乏碳排动态反馈机制致使施工调度与双碳目标脱节问题构建面向“双碳”目标的多智能体协同优化模型,通过嵌入碳排成本函数的智能体建模、基于Q-learning的动态协同决策机制及PID(Proportional Integral Deriva...针对当前多智能体协同优化缺乏碳排动态反馈机制致使施工调度与双碳目标脱节问题构建面向“双碳”目标的多智能体协同优化模型,通过嵌入碳排成本函数的智能体建模、基于Q-learning的动态协同决策机制及PID(Proportional Integral Derivative)闭环反馈引擎,选取三类典型工程进行仿真验证。结果表明,相较于传统关键路径法(Critical Path Method,CPM)和静态碳约束调度,本模型显著提升了碳效控制能力,平均碳效达标率达94.5%,重调度频次较传统CPM下降45%,响应时间稳定在8.0~8.5 s,资源闲置率被有效控制在4.3%以内,展现出优异的调度鲁棒性与资源利用效率,可推动“双碳”目标在施工环节精准落地。展开更多
针对目前新型电力发展存在的统筹协调、能源存储、电力消纳技术受限等问题,利用人工智能(AI)语音控制,在传统的风光互补基础上,提出了新型电力多能互补创新实践方案。系统选用3台西门子S7-200 Smart CPU SR40作为控制单元,结合S7以太网...针对目前新型电力发展存在的统筹协调、能源存储、电力消纳技术受限等问题,利用人工智能(AI)语音控制,在传统的风光互补基础上,提出了新型电力多能互补创新实践方案。系统选用3台西门子S7-200 Smart CPU SR40作为控制单元,结合S7以太网通信技术和传感器检测技术,建立了以水力发电站为主站、风力发电站和光伏发电站为从站的网络拓扑设计,通过不断优化程序不仅实现了新型电力手动、自动控制,而且创新融入AI语音功能,并采用8421BCD编码将语音逻辑转化为工业控制命令,增添了更加灵活的控制方案。实践证明,风光水绿能的综合场景协调控制,能解决新型电力时空发展不协调的问题,实现多能互补、时空互融的创新应用,有效助力“双碳”目标实现,促进新能源高质量发展。展开更多
基金the Key Projects of National Natural Science Foundation of China under Grant No.70431002National Natural Science Foundation of China under Grant No.10647001
文摘Beam transport network(BTN)with small world(SW)(so-called BTN-SW)and Lorenz chaotic connectednetwork with scale-free(SF)are taken as two typical examples,we proposed a global linear coupling and combined withlocal error feedback methods in sub-networks to realize multi-goal control method of halo and chaos in two networksabove.The simulation results show that the methods above is effective for any chaotic connected networks and has apotential of applications in based-halo-chaos secure communication.
文摘Multi</span><span><span style="font-family:"">-</span></span><span><span style="font-family:"">goal and multi-objective optimizations are similar techniques to</span></span><span><span style="font-family:""> achieve <span>multiple conflicting goals/objectives simultaneously. There are several tech</span>niques <span>for solving multi-goal and multi-objective optimization problems. The</span> <span>present </span><span>study proposed the possibility of convertibility in solving multi-goal and mul</span>ti-objective optimization problems.
文摘针对目前新型电力发展存在的统筹协调、能源存储、电力消纳技术受限等问题,利用人工智能(AI)语音控制,在传统的风光互补基础上,提出了新型电力多能互补创新实践方案。系统选用3台西门子S7-200 Smart CPU SR40作为控制单元,结合S7以太网通信技术和传感器检测技术,建立了以水力发电站为主站、风力发电站和光伏发电站为从站的网络拓扑设计,通过不断优化程序不仅实现了新型电力手动、自动控制,而且创新融入AI语音功能,并采用8421BCD编码将语音逻辑转化为工业控制命令,增添了更加灵活的控制方案。实践证明,风光水绿能的综合场景协调控制,能解决新型电力时空发展不协调的问题,实现多能互补、时空互融的创新应用,有效助力“双碳”目标实现,促进新能源高质量发展。
