广州企业模板建站,wordpress 内网搭建,东莞网站关键词推广,做推广公司#x1f4a5;#x1f4a5;#x1f49e;#x1f49e;欢迎来到本博客❤️❤️#x1f4a5;#x1f4a5; #x1f3c6;博主优势#xff1a;#x1f31e;#x1f31e;#x1f31e;博客内容尽量做到思维缜密#xff0c;逻辑清晰#xff0c;为了方便读者。 ⛳️座右铭欢迎来到本博客❤️❤️ 博主优势博客内容尽量做到思维缜密逻辑清晰为了方便读者。 ⛳️座右铭行百里者半于九十。 本文目录如下 目录 1 概述 2 运行结果 3 参考文献 4 Matlab代码实现 1 概述
文献来源 我们展示了如何为建模为线性分数表示并受各种类型的动态不确定性影响的不确定系统组成稳健的稳定性测试。我们的结果是根据线性矩阵不等式制定的并基于最近建立的有限视界积分二次约束与终端成本的概念。这种约束的构造是由S过程在频域中使用动态拉格朗日乘法器的非常规应用所激发的。我们的技术贡献揭示了如何通过时域中的耗散率参数以无损方式执行这种构造。这为泛化到时变或混合系统开辟了道路。
原文摘要
We show how to compose robust stability tests for uncertain systems modeled as linear fractional representations and affected by various types of dynamic uncertainties. Our results are formulated in terms of linear matrix inequalities and rest on the recently established notion of finite-horizon integral quadratic constraints with a terminal cost. The construction of such constraints is motivated by an unconventional application of the S-procedure in the frequency domain with dynamic Lagrange multipliers. Our technical contribution reveals how this construction can be performed by dissipativity arguments in the time-domain and in a lossless fashion. This opens the way for generalizations to time-varying or hybrid systems. 2 运行结果 部分代码
% Involved functions f1 (x) real([1; x(1) 1i * x(2)] * [0, 1; 1, -1] * ... [1; x(1) 1i * x(2)]); % Outer circle f2 (x) real([1; x(1) 1i * x(2)] * [0, -3/4; -3/4, 1] * ... [1; x(1) 1i * x(2)]); % Inner circle
% Plotdomain x 0:0.01:2; y -1:0.01:1;
% Generate grid [X,Y] meshgrid(x,y);
% Evaluate functions on grid Z1 zeros(length(y), length(x)); Z2 zeros(length(y), length(x)); for i 1 : length(y) for j 1 : length(x) Z1(i, j) f1([x(j); y(i)]); Z2(i, j) f2([x(j); y(i)]); end end contour(X,Y,Z1, [0;0], linewidth, 1.5, color, black) contour(X,Y,Z2, [0;0], linewidth, 1.5, color, black)
xlabel(real part) ylabel(imaginary part) %set(gca, FontSize, 15)
print(../results/Fig2,-dpng)
%% Gain Bounds
% A very special system, but anyhow a -0.1; % (s 2 - 1/(dela)) * (s del 1) sys ss([(1-3*a)/a, (1-2*a)/a; 1, 0], ... [-1/a, 0, 1; 0, 0, 0], ... [a3(1-3*a)/a, 12*a (1-2*a)/a; 1, 2; 1, 0], ... [-1/a, 1, 0; 0, 0, 1; 0, 0, 0]); % This is constructed in a fashion such that lft(0.5, sys) is unstable
% IO dimensions p.sys sys; p.inp [2, 1]; p.out [2, 1]; % Analysis based on covering with single disk. This has to fail since 0.5 % is contained in the disk. Pi{1} [0, 1; 1, -1]; ga ana_rep_intersect(p, Pi); % More meaningful covering (intersection of interior of a disk and exterior % of another disk). Pi{1} [0, 1; 1, -1]; Pi{2} [0, -3/4; -3/4, 1]; ga ana_rep_intersect(p, Pi); disp([Gain bound from Theorem 8 with static filter : , num2str(ga)]);
P [blkdiag(0, 0), blkdiag(1, -3/4); ... blkdiag(1, -3/4), blkdiag(-1, 1)]; ga ana_rep_region(p, P); disp([Gain bound from Theorem 10 with static filter : , num2str(ga)]); % Same as above, but with dynamic multipliers nu 1; al 2; p.ps bas(nu, al, p.inp(1)); ga ana_rep_intersect(p, Pi); disp([Gain bound from Theorem 8 with dynamic filter (nu1): , ... num2str(ga)]);
3 参考文献 文章中一些内容引自网络会注明出处或引用为参考文献难免有未尽之处如有不妥请随时联系删除。 [1]Tobias Holicki, Carsten W. Scherer (2022) A Dynamic S-Procedure for Dynamic Uncertainties
4 Matlab代码实现
