网站诚信建设,油烟机seo关键词,深圳seo优化关键词排名,wordpress主題移动端✅作者简介#xff1a;热爱科研的Matlab仿真开发者#xff0c;擅长毕业设计辅导、数学建模、数据处理、建模仿真、程序设计、完整代码获取、论文复现及科研仿真。 #x1f34e; 往期回顾关注个人主页#xff1a;Matlab科研工作室 #x1f447; 关注我领取海量matlab电子书…✅作者简介热爱科研的Matlab仿真开发者擅长毕业设计辅导、数学建模、数据处理、建模仿真、程序设计、完整代码获取、论文复现及科研仿真。 往期回顾关注个人主页Matlab科研工作室 关注我领取海量matlab电子书和数学建模资料个人信条格物致知,完整Matlab代码获取及仿真咨询内容私信。 内容介绍一、引言无人机作为现代航空领域的关键角色在军事侦察、物流配送、农业植保以及影视拍摄等众多领域展现出巨大的应用潜力。然而无人机飞行环境的复杂性和其本身动力学特性的非线性给飞行控制带来了严峻挑战。传统的比例 - 积分 - 微分PID控制器虽然结构简单、易于实现但固定增益的特性使其难以在不同飞行工况下均保持良好性能。非线性增益调度控制通过根据飞行状态动态调整PID参数有望提升无人机在复杂环境下的控制精度。而元启发式优化算法凭借其强大的全局搜索能力能够为非线性增益调度控制找到最优的参数组合从而显著提升无人机的飞行控制品质。二、无人机动力学模型与PID控制基础一无人机动力学模型无人机的运动可通过六自由度6 - DOF动力学模型来描述涵盖三个平移运动沿 x、y、z 轴和三个旋转运动滚转、俯仰、偏航。以四旋翼无人机为例其动力学方程通常基于牛顿 - 欧拉方程建立⛳️ 运行结果 部分代码clear all;close all;clc;load SimulationData.matload Usampling.matout.Vaout.Va(:,:);ntlength(out.Va);% Vcones(nt,1)*out.Vc;%% plot altitude and velocityfigure()s1subplot(2,1,1)pplot(out.tout,out.hc,out.tout,out.h);set(gcf,Position,[0,0,800,500])ylabel(Altitude (m));grid onp(1).LineWidth1.5;p(1).LineStyle--;p(2).LineWidth1.25;legend(h_{cmd},h)ylim([0,9000])xticklabels()s2subplot(2,1,2)p2plot(out.tout,out.Vc,out.tout,out.Va(:,:))ylabel(Velocity (m/s));xlabel(time (sec));p2(1).LineWidth1.5;p2(1).LineStyle--;p2(2).LineWidth1.25;grid onlegend(V_{cmd},V_a)legend(Location,southeast)pos1 get(s1, Position) % gives the position of current sub-plotnew_pos1 pos1 [0 -0.37 0 0]set(s2, Position,new_pos1 ) % set new position of current sub - plot%% plot flight status mode and throttle command end elevator command and fligh path anglefigure()s3subplot(2,1,1)p3plot(out.tout,out.dE);set(gcf,Position,[0,0,800,500])ylabel(Altitude (m));grid onp3(1).LineWidth1.5;legend(dE)% ylim([0,9000])xticklabels()s4subplot(2,1,2)p4plot(out.tout,out.dT);ylabel(Velocity (m/s));xlabel(time (sec));p4(1).LineWidth1.5;grid onlegend(V_{cmd},V_a)legend(Location,southeast)pos1 get(s1, Position) % gives the position of current sub-plotnew_pos1 pos1 [0 -0.37 0 0]set(s2, Position,new_pos1 ) % set new position of current sub - plot%% combine figure experimentalclose allgap-0.115;figure()s1subplot(6,1,1)for j1:50eval([plot(Usamplimg num2str(j) .tout,Usamplimg num2str(j) .Va,Color, [0.7 0.7 0.7])])hold onendpplot(out.tout,out.Va(:,:),out.tout,out.Vc);xlim([0,4750])ylim([35,65])set(gcf,Position,[0,0,1200,1500])ylabel(Velocity (m/s));legend(p,V_a,V_{cmd})% legend(Location,southeast)fontsize(14,points)grid onp(1).LineWidth1.5;p(1).Color[0 0.4470 0.7410];% p(1).LineStyle--;p(2).LineWidth1.75;p(2).LineStyle--;p(2).Colorred;xticklabels()s2subplot(6,1,2)for j1:50eval([plot(Usamplimg num2str(j) .tout,Usamplimg num2str(j) .h,Color, [0.7 0.7 0.7])])hold onendp2plot(out.tout,out.h,out.tout,out.hc);xlim([0,4750])ylabel(Altitude (m));legend(p2,h,h_{cmd})p2(1).LineWidth1.5;p2(1).Color[0 0.4470 0.7410];p2(2).LineWidth1.75;p2(2).LineStyle--;p2(2).Colorred;xticklabels()ylim([0,9000])grid onxticklabels()fontsize(14,points)pos1 get(s1, Position) % gives the position of current sub-plotnew_pos1 pos1 [0 gap 0 0]set(s2, Position,new_pos1 ) % set new position of current sub - plot%%%%%%%%%%%%%%%%%%%%%%%%%%s3subplot(6,1,3)for j1:50eval([plot(Usamplimg num2str(j) .tout,Usamplimg num2str(j) .gamma,Color, [0.7 0.7 0.7])])hold onendp3plot(out.tout,out.gamma,out.tout,out.GammaCommand);xlim([0,4750])ylabel(\gamma (deg));legend(p3,\gamma,\gamma_{cmd})fontsize(14,points)% ylim([-2,10])p3(1).LineWidth1.5;p3(1).Color[0 0.4470 0.7410];p3(2).LineWidth1.75;p3(2).LineStyle--;p3(2).Colorred;xticklabels()grid onxticklabels()pos2 get(s2, Position) % gives the position of current sub-plotnew_pos3 pos2 [0 gap 0 0]set(s3, Position,new_pos3 ) % set new position of current sub - plot%%%%%%%%%%%%%%%%%%%%%%%%%%s4subplot(6,1,4)for j1:50eval([plot(Usamplimg num2str(j) .tout,Usamplimg num2str(j) .dE,Color, [0.7 0.7 0.7])])hold onendp4plot(out.tout,out.dE);xlim([0,4750])ylabel(Elevator Deflection (deg));fontsize(14,points)ylim([-2,10])p4(1).LineWidth1.5;p4(1).Color[0 0.4470 0.7410];grid onxticklabels()pos3 get(s3, Position) % gives the position of current sub-plotnew_pos4 pos3 [0 gap 0 0]set(s4, Position,new_pos4 ) % set new position of current sub - plot%%%%%%%%%%%%%%%%%%%%%%%%%%s5subplot(6,1,5)for j1:50eval([plot(Usamplimg num2str(j) .tout,Usamplimg num2str(j) .dT,Color, [0.7 0.7 0.7])])hold onend% p4plot(out.tout,out.dT,out.tout,0.5.*out.status)p5plot(out.tout,out.dT);xlim([0,4750])p5(1).LineWidth1.5;p5(1).Color[0 0.4470 0.7410];% p4(2).LineWidth1.5;ylabel(Throttle (%));fontsize(14,points)ylim([-0.1,1.1])grid onxticklabels()pos4 get(s4, Position) % gives the position of current sub-plotnew_pos5 pos4 [0 gap 0 0]set(s5, Position,new_pos5 ) % set new position of current sub - plot%%%%%%%%%%%%%%%%%%%%%%%%%%s6subplot(6,1,6)for j1:50eval([plot(Usamplimg num2str(j) .tout,Usamplimg num2str(j) .status,Color, [0.7 0.7 0.7])])hold onendp6plot(out.tout,out.status);xlim([0,4750])p6(1).LineWidth2.5;p6(1).Color[0 0.4470 0.7410];grid onpos5 get(s5, Position) % gives the position of current sub-plotnew_pos6 pos5 [0 gap 0 0]set(s6, Position,new_pos6 ) % set new position of current sub - plotylabel(Flight Mode);xlabel(time (sec));fontsize(14,points)%%figure% pplot(out.tout,Vc,out.tout,out.Va(:,:))% p2plot(out.tout,out.hc,out.tout,out.h);% p3plot(out.tout,out.dE);% p4plot(out.tout,out.dT);t1start1450;t1end1550;t2start1900;t2end2600;t3start3300;t3end3900;% t4start4400;% t4end4500;t1out.tout(out.toutt1start out.toutt1end);Vc_cut1out.Vc(out.toutt1start out.toutt1end);Va_cut1out.Va(out.toutt1start out.toutt1end);gammac_cut1out.GammaCommand(out.toutt1start out.toutt1end);gamma_cut1out.gamma(out.toutt1start out.toutt1end);hc_cut1out.hc(out.toutt1start out.toutt1end);h_cut1out.h(out.toutt1start out.toutt1end);de_cut1out.dE(out.toutt1start out.toutt1end);dT_cut1out.dT(out.toutt1start out.toutt1end);t2out.tout(out.toutt2start out.toutt2end);Vc_cut2out.Vc(out.toutt2start out.toutt2end);Va_cut2out.Va(out.toutt2start out.toutt2end);gammac_cut2out.GammaCommand(out.toutt2start out.toutt2end);gamma_cut2out.gamma(out.toutt2start out.toutt2end);hc_cut2out.hc(out.toutt2start out.toutt2end);h_cut2out.h(out.toutt2start out.toutt2end);de_cut2out.dE(out.toutt2start out.toutt2end);dT_cut2out.dT(out.toutt2start out.toutt2end);t3out.tout(out.toutt3start out.toutt3end);Vc_cut3out.Vc(out.toutt3start out.toutt3end);Va_cut3out.Va(out.toutt3start out.toutt3end);gammac_cut3out.GammaCommand(out.toutt3start out.toutt3end);gamma_cut3out.gamma(out.toutt3start out.toutt3end);hc_cut3out.hc(out.toutt3start out.toutt3end);h_cut3out.h(out.toutt3start out.toutt3end);de_cut3out.dE(out.toutt3start out.toutt3end);dT_cut3out.dT(out.toutt3start out.toutt3end);% t4out.tout(out.toutt4start out.toutt4end);% Vc_cut4out.Vc(out.toutt4start out.toutt4end);% Va_cut4out.Va(out.toutt4start out.toutt4end);% hc_cut4out.hc(out.toutt4start out.toutt4end);% h_cut4out.h(out.toutt4start out.toutt4end);% de_cut4out.dE(out.toutt4start out.toutt4end);% dT_cut4out.dT(out.toutt4start out.toutt4end);gapcx0.23;gapcy-0.18;n_section3;for i1:n_sectioneval([sc num2str(i) subplot(4, num2str(n_section) , num2str(i) );])hold onfor j1:50eval([ccplot(Usamplimg num2str(j) .tout,Usamplimg num2str(j) .Va,Color, [0.7 0.7 0.7]);])hold onendeval([c num2str(i) plot(t num2str(i) ,Va_cut num2str(i) ,t num2str(i) ,Vc_cut num2str(i) );])eval([c num2str(i) (1).LineWidth1.5;])eval([c num2str(i) (1).Color[0 0.4470 0.7410];])eval([c num2str(i) (2).LineStyle--;])eval([c num2str(i) (2).LineWidth1.25;])eval([c num2str(i) (2).Colorred;])grid onylim([35,65])if i1set(gcf,InnerPosition,[0,0,1500,1000])ylabel(Velocity (m/s),fontsize,12);endif i~1eval([posc num2str(i-1) get(sc num2str(i-1) , Position);])eval([new_posc num2str(i) posc num2str(i-1) [gapcx 0 0 0];])eval([set(sc num2str(i) , Position,new_posc num2str(i) );])yticklabels()endeval([xlim([t num2str(i) start,t num2str(i) end]);])xticklabels()endlegend(c3,V_a,V_{cmd},fontsize,12)% legend(cc2,V_a_{Uncertainty},fontsize,12)% legend(Location,southwest)posc1 get(sc1, Position);new_posc4 posc1 [0 gapcy 0 0];for in_section1:2*n_sectioneval([sc num2str(i) subplot(4, num2str(n_section) , num2str(i) );])hold onfor j1:50eval([ccplot(Usamplimg num2str(j) .tout,Usamplimg num2str(j) .gamma,Color, [0.7 0.7 0.7]);])hold onendeval([c num2str(i) plot(t num2str(i-n_section) ,gamma_cut num2str(i-n_section) ,t num2str(i-n_section) ,gammac_cut num2str(i-n_section) );])eval([c num2str(i) (1).LineWidth1.5;])eval([c num2str(i) (1).Color[0 0.4470 0.7410];])eval([c num2str(i) (2).LineStyle--;])eval([c num2str(i) (2).LineWidth1.25;])eval([c num2str(i) (2).Colorred;])grid onylim([-25,25])if i4% xlim([2240,2310]);ylabel(\gamma (deg),fontsize,12);set(sc4, Position,new_posc4 )endif i~4eval([posc num2str(i-1) get(sc num2str(i-1) , Position);])eval([new_posc num2str(i) posc num2str(i-1) [gapcx 0 0 0];])eval([set(sc num2str(i) , Position,new_posc num2str(i) );])yticklabels()end% if i2*n_section% legend(\gamma_{cmd},\gamma,fontsize,12)% endeval([xlim([t num2str(i-n_section) start,t num2str(i-n_section) end]);])xticklabels()endlegend(c6,\gamma,\gamma_{cmd},fontsize,12)% legend([c6;cc],\gamma,\gamma_{cmd},\gamma_{Usampling},fontsize,12)posc4 get(sc4, Position);new_posc7 posc4 [0 gapcy 0 0];for i2*n_section1:3*n_sectioneval([sc num2str(i) subplot(4, num2str(n_section) , num2str(i) );])hold onfor j1:50eval([ccplot(Usamplimg num2str(j) .tout,Usamplimg num2str(j) .dE,Color, [0.7 0.7 0.7]);])hold onendeval([c num2str(i) plot(t num2str(i-2*n_section) ,de_cut num2str(i-2*n_section) );])eval([c num2str(i) (1).LineWidth1.5;])eval([c num2str(i) (1).Color[0 0.4470 0.7410];])ylim([-2,10])grid onif i7% xlim([2240,2310]);ylabel(Elevator Deflection (deg),fontsize,12);set(sc7, Position,new_posc7 )endif i~7eval([posc num2str(i-1) get(sc num2str(i-1) , Position);])eval([new_posc num2str(i) posc num2str(i-1) [gapcx 0 0 0];])eval([set(sc num2str(i) , Position,new_posc num2str(i) );])yticklabels()endeval([xlim([t num2str(i-2*n_section) start,t num2str(i-2*n_section) end]);])xticklabels()% xtickangle(90)% eval([xlabel(Time interval num2str(i-2*n_section) (sec),fontsize,12)])endposc7 get(sc7, Position);new_posc10 posc7 [0 gapcy 0 0];for i3*n_section1:4*n_sectioneval([sc num2str(i) subplot(4, num2str(n_section) , num2str(i) );])hold onfor j1:50eval([plot(Usamplimg num2str(j) .tout,Usamplimg num2str(j) .dT,Color, [0.7 0.7 0.7])])hold onendeval([c num2str(i) plot(t num2str(i-3*n_section) ,dT_cut num2str(i-3*n_section) );])eval([c num2str(i) (1).LineWidth1.5;])eval([c num2str(i) (1).Color[0 0.4470 0.7410];])ylim([-0.1,1.1])grid onif i10% xlim([2240,2310]);ylabel(Throttle (%),fontsize,12);set(sc10, Position,new_posc10 )endif i~10eval([posc num2str(i-1) get(sc num2str(i-1) , Position);])eval([new_posc num2str(i) posc num2str(i-1) [gapcx 0 0 0];])eval([set(sc num2str(i) , Position,new_posc num2str(i) );])yticklabels()endeval([xlim([t num2str(i-3*n_section) start,t num2str(i-3*n_section) end]);])xtickangle(90)eval([xlabel(Time interval num2str(i-3*n_section) (sec),fontsize,12)])end%% compare with and without descending commandload WithdescendingCtrlload NodescendingCtrlt_comp_start2000;tcomp1WithdescendingCtrl.tout(WithdescendingCtrl.toutt_comp_start);Vc_comp1WithdescendingCtrl.Vc(WithdescendingCtrl.toutt_comp_start);Va_comp1WithdescendingCtrl.Va(WithdescendingCtrl.toutt_comp_start);% gammac_cut1out.GammaCommand(out.toutt1start out.toutt1end);% gamma_cut1out.gamma(out.toutt1start out.toutt1end);hc_comp1WithdescendingCtrl.hc(WithdescendingCtrl.toutt_comp_start);h_comp1WithdescendingCtrl.h(WithdescendingCtrl.toutt_comp_start);tcomp2NodescendingCtrl.tout(NodescendingCtrl.toutt_comp_start);Vc_comp2NodescendingCtrl.Vc(NodescendingCtrl.toutt_comp_start);Va_comp2NodescendingCtrl.Va(NodescendingCtrl.toutt_comp_start);% gammac_cut1out.GammaCommand(out.toutt1start out.toutt1end);% gamma_cut1out.gamma(out.toutt1start out.toutt1end);hc_comp2NodescendingCtrl.hc(NodescendingCtrl.toutt_comp_start);h_comp2NodescendingCtrl.h(NodescendingCtrl.toutt_comp_start);figure()s1subplot(2,1,1)pplot(tcomp1,h_comp1,tcomp2,h_comp2,tcomp1,hc_comp1);set(gcf,Position,[0,0,800,500])ylabel(Altitude (m));grid onp(1).LineWidth1.5;p(2).LineWidth1.5;% p(1).LineStyle--;p(3).LineWidth1.75;p(3).LineStyle--;p(3).Colorred;xticklabels()legend(dual controller,single controller,h_{cmd})ylim([0,9000])xlim([t_comp_start,4750])xticklabels()s2subplot(2,1,2)p2plot(tcomp1,Va_comp1,tcomp2,Va_comp2,tcomp1,Vc_comp1);ylabel(Velocity (m/s));xlabel(time (sec));xlim([t_comp_start,4750])p2(1).LineWidth1.5;p2(2).LineWidth1.5;p2(3).LineWidth1.75;p2(3).LineStyle--;p2(3).Colorred;grid onlegend(dual controller,single controller,V_{cmd})pos1 get(s1, Position) % gives the position of current sub-plotnew_pos1 pos1 [0 -0.37 0 0]set(s2, Position,new_pos1 ) % set new position of current sub - plot%% uncertainty samplingfigure()s1subplot(2,1,1)for i1:50eval([plot(Usamplimg num2str(i) .tout,Usamplimg num2str(i) .h,Color, [0.5 0.5 0.5])])hold onendpplot(WithdescendingCtrl.tout,WithdescendingCtrl.h,WithdescendingCtrl.tout,WithdescendingCtrl.hc,Color, [0 0.4470 0.7410]);set(gcf,Position,[0,0,800,500])ylabel(Altitude (m));grid onp(1).LineWidth1.5;% p(2).LineWidth1.5;% p(1).LineStyle--;p(2).LineWidth1.75;p(2).LineStyle--;p(2).Colorred;xticklabels()% legend(h_{cmd},h_w)ylim([0,9000])xlim([0,4750])xticklabels()legend(h_{cmd},h_w)s2subplot(2,1,2)for i1:50eval([plot(Usamplimg num2str(i) .tout,Usamplimg num2str(i) .Va,Color, [0.5 0.5 0.5])])hold onendp2plot(WithdescendingCtrl.tout,WithdescendingCtrl.Vc,WithdescendingCtrl.tout,WithdescendingCtrl.Va,Color, [0 0.4470 0.7410]);ylabel(Velocity (m/s));xlabel(time (sec));ylim([35,65])xlim([0,4750])p2(2).LineWidth1.5;% p2(2).LineWidth1.5;p2(1).LineWidth1.75;p2(1).LineStyle--;p2(1).Colorred;grid onlegend(V_{cmd},V_a)pos1 get(s1, Position) % gives the position of current sub-plotnew_pos1 pos1 [0 -0.37 0 0]set(s2, Position,new_pos1 ) % set new position of current sub - plot% load(Usampling.mat)% load WithdescendingCtrl% plot(WithdescendingCtrl.tout,WithdescendingCtrl.Vc,r--)% hold on% for i1:50% eval([plot(Usamplimg num2str(i) .tout,Usamplimg num2str(i) .Va,Color, [0.5 0.5 0.5])])% hold on% end% WithdescendingCtrlout;% NodescendingCtrlout;% save NodescendingCtrl NodescendingCtrl% save WithdescendingCtrl WithdescendingCtrl 参考文献 部分理论引用网络文献若有侵权联系博主删除团队擅长辅导定制多种毕业课题和科研领域MATLAB仿真助力毕业科研梦 各类智能优化算法改进及应用生产调度、经济调度、装配线调度、充电优化、车间调度、发车优化、水库调度、三维装箱、物流选址、货位优化、公交排班优化、充电桩布局优化、车间布局优化、集装箱船配载优化、水泵组合优化、解医疗资源分配优化、设施布局优化、可视域基站和无人机选址优化、背包问题、 风电场布局、时隙分配优化、 最佳分布式发电单元分配、多阶段管道维修、 工厂-中心-需求点三级选址问题、 应急生活物质配送中心选址、 基站选址、 道路灯柱布置、 枢纽节点部署、 输电线路台风监测装置、 集装箱调度、 机组优化、 投资优化组合、云服务器组合优化、 天线线性阵列分布优化、CVRP问题、VRPPD问题、多中心VRP问题、多层网络的VRP问题、多中心多车型的VRP问题、 动态VRP问题、双层车辆路径规划2E-VRP、充电车辆路径规划EVRP、油电混合车辆路径规划、混合流水车间问题、 订单拆分调度问题、 公交车的调度排班优化问题、航班摆渡车辆调度问题、选址路径规划问题、港口调度、港口岸桥调度、停机位分配、机场航班调度、泄漏源定位 机器学习和深度学习时序、回归、分类、聚类和降维2.1 bp时序、回归预测和分类2.2 ENS声神经网络时序、回归预测和分类2.3 SVM/CNN-SVM/LSSVM/RVM支持向量机系列时序、回归预测和分类2.4 CNN|TCN|GCN卷积神经网络系列时序、回归预测和分类2.5 ELM/KELM/RELM/DELM极限学习机系列时序、回归预测和分类2.6 GRU/Bi-GRU/CNN-GRU/CNN-BiGRU门控神经网络时序、回归预测和分类2.7 ELMAN递归神经网络时序、回归\预测和分类2.8 LSTM/BiLSTM/CNN-LSTM/CNN-BiLSTM/长短记忆神经网络系列时序、回归预测和分类2.9 RBF径向基神经网络时序、回归预测和分类2.10 DBN深度置信网络时序、回归预测和分类2.11 FNN模糊神经网络时序、回归预测2.12 RF随机森林时序、回归预测和分类2.13 BLS宽度学习时序、回归预测和分类2.14 PNN脉冲神经网络分类2.15 模糊小波神经网络预测和分类2.16 时序、回归预测和分类2.17 时序、回归预测预测和分类2.18 XGBOOST集成学习时序、回归预测预测和分类2.19 Transform各类组合时序、回归预测预测和分类方向涵盖风电预测、光伏预测、电池寿命预测、辐射源识别、交通流预测、负荷预测、股价预测、PM2.5浓度预测、电池健康状态预测、用电量预测、水体光学参数反演、NLOS信号识别、地铁停车精准预测、变压器故障诊断图像处理方面图像识别、图像分割、图像检测、图像隐藏、图像配准、图像拼接、图像融合、图像增强、图像压缩感知 路径规划方面旅行商问题TSP、车辆路径问题VRP、MVRP、CVRP、VRPTW等、无人机三维路径规划、无人机协同、无人机编队、机器人路径规划、栅格地图路径规划、多式联运运输问题、 充电车辆路径规划EVRP、 双层车辆路径规划2E-VRP、 油电混合车辆路径规划、 船舶航迹规划、 全路径规划规划、 仓储巡逻 无人机应用方面无人机路径规划、无人机控制、无人机编队、无人机协同、无人机任务分配、无人机安全通信轨迹在线优化、车辆协同无人机路径规划 通信方面传感器部署优化、通信协议优化、路由优化、目标定位优化、Dv-Hop定位优化、Leach协议优化、WSN覆盖优化、组播优化、RSSI定位优化、水声通信、通信上传下载分配 信号处理方面信号识别、信号加密、信号去噪、信号增强、雷达信号处理、信号水印嵌入提取、肌电信号、脑电信号、信号配时优化、心电信号、DOA估计、编码译码、变分模态分解、管道泄漏、滤波器、数字信号处理传输分析去噪、数字信号调制、误码率、信号估计、DTMF、信号检测电力系统方面微电网优化、无功优化、配电网重构、储能配置、有序充电、MPPT优化、家庭用电 元胞自动机方面交通流 人群疏散 病毒扩散 晶体生长 金属腐蚀 雷达方面卡尔曼滤波跟踪、航迹关联、航迹融合、SOC估计、阵列优化、NLOS识别 车间调度零等待流水车间调度问题NWFSP 、 置换流水车间调度问题PFSP、 混合流水车间调度问题HFSP 、零空闲流水车间调度问题NIFSP、分布式置换流水车间调度问题 DPFSP、阻塞流水车间调度问题BFSP