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Shan edited CRM MRAC of a First-Order Nonlinear System1.tex
over 9 years ago
Commit id: 86e429e19222ff80f9f936152f45bc9091e1bde2
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diff --git a/CRM MRAC of a First-Order Nonlinear System1.tex b/CRM MRAC of a First-Order Nonlinear System1.tex
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--- a/CRM MRAC of a First-Order Nonlinear System1.tex
+++ b/CRM MRAC of a First-Order Nonlinear System1.tex
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which leads to
\begin{align}
e^{c}=\frac{1}{k^{*}}\frac{km}{s-(am+l)}\tilde{\theta}^T\phi=\frac{1}{k^{*}}M(s)[\tilde{\theta}^T\phi] e^{c}=\frac{1}{k^{*}}\frac{k_m}{s-(a_m+l)}\tilde{\theta}^T\phi=\frac{1}{k^{*}}M(s)[\tilde{\theta}^T\phi]
\end{align}
where $M(s)$ is SPR. Using the MKY-Lemma, we know, that a Lyapunov function exits s.t. the derivative is negative definite. Hence the dynamics of the closed loop errror is asymptotically stable.
%Using Lyapunov's second method with the Lyapunov candidate function