Abstract
This paper introduces a fuzzy intermittent control issue for nonlinear PDE-ODE coupled system under spatially point measurements (SPMs), which can be represented by an ordinary differential equation (ODE) and a partial differential equation (PDE). Firstly, the nonlinear coupled system is aptly characterized by the Takagi–Sugeno (T–S) fuzzy PDE-ODE coupled model. Subsequently, based on T–S fuzzy model, a novel Lyapunov function (LF) is provided to design a fuzzy intermittent controller ensuring exponential stability of the closed-loop coupled system. The stabilization conditions are presented by means of a group of space-dependent linear matrix inequalities (SDLMIs). Finally, simulation results are given to illustrate the effectiveness of the proposed design method in the control of a hypersonic rocket car (HRC).








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Funding
Funding was provided by National Key Research and Development Program of China (Grant nos. 2023YFB3307300 and 2021ZD0112300), National Natural Science Foundations of China (Grant nos. 61890930-5, 62021003, 62073011, 62203326, and 61973135), China Postdoctoral Science Foundation (Grant no. 2022M720322), Beijing Postdoctoral Science Foundation, Shandong Provincial Natural Science Foundation (Grant no. ZR2021MF004).
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Appendices
Appendix 1
Proof of Theorem 1
It follows from (18) and (19) that
in which
where
Next, the stability analysis is made for the fuzzy coupled system (13) via a novel LF. To this end, a novel LF candidate is introduced as follows:
in which
where \(\eta _h(t)=\psi _h(t)e^{2\xi (t-t_0)}\), \(\psi _h(t)=\mu _h^{\rho _{h1}(t)}\), \(h\in \overline{1,2}\). \(P_h(t)=\sum \limits _{i=1}^{2}\rho _{hi}(t)P_{hi}\), \(Q_h(t)=\sum \limits _{i=1}^{2}\rho _{hi}(t)Q_{hi}\), \(\theta _1(t)=\rho _{10}(t)\ln \mu _1\), and \(\theta _2(t)=\rho _{20}(t)\ln \mu _2\).
For \(t\in J _{1,k}\) with any given \(k\in \mathbb {N}_0\), taking the derivative of V(t) with respect to time along the trajectory of (13a) yields
Denote \(\kappa (z,t)\triangleq T(\overline{z}_s, t)-T(z, t)\). Then, we have \(y_s(t)=T(z, t)+\kappa (z,t)\). Using (13b) gives the following relationship:
Then, utilizing the boundary conditions (2), for any matrix \(U_1(t)=\sum \limits _{i=1}^{2}\sum \limits _{l=1}^{2}\rho _{1i}(t)\zeta _{1l}(t)U_{1il}>0\), one has from Lemma 1 that
Considering \(\kappa ^{2}_z(z,t)=T^{2}_z(z,t)\), for any matrix \(\Gamma (t)=\sum \limits _{i=1}^{2}\sum \limits _{l=1}^{2} \rho _{1i}(t)\zeta _{1l}(t)\Gamma _{1il}>0\), one can get from Lemma 2 that
Using (40) and (43)–(46), we obtain
where \(\varphi _1(z,t)=[x^{T}(t) \ T^{T}(z,t) \ T_z^{T}(z,t) \ \kappa ^{T}(z, t)]^{T}\). It follows that
For \(t\in J _{2,k}, k\in \mathbb {N}_0\), taking the derivative of V(t) with respect to time along the trajectory of (13b) yields
Then, utilizing the boundary conditions (2), for any matrix \(U_2(t)=\sum \limits _{i=1}^{2}\sum \limits _{l=1}^{2}\rho _{2i}(t)\zeta _{2l}(t)U_{2il}>0\), one has from Lemma 1 that
Using (41) and (48)–(50), we obtain
where \(\varphi _2(z,t)=[x(t) \ T(z,t) \ T_z(z,t)]^{T}\). It follows that
Estimate V(t) at the switching instants \(t_k\) and \(s_k\), \(k\in \mathbb {N}_0\). From the definitions of \(P_h(t)\) and \(\psi _h(t)\), \(h\in \overline{1,2}\), one has
Then, according to [32] and [34], for any \(k\in \mathbb {N}_0\), one obtains from (16) and (17):
By jointly applying equations (47), (51), (52), and (53), one can obtain \(V(t)\le V(t_0), t\ge t_0\). Thus, we conclude that \(\Vert x(t)\Vert _2+\Vert T(\cdot ,t)\Vert _2\le \sqrt{\frac{M\lambda _1}{\lambda _0}}(\Vert x(t_0)\Vert _2+\Vert T(\cdot , t_0)\Vert _2)e^{-\xi (t-t_0)}\), \( \text{where}\,M=\max \{1, \mu _1, \mu _2\}\), \(\lambda _1=\max \{\lambda _{\max }(P_i), i\in \overline{1,2}\}\), and \(\lambda _0=\min \{\lambda _{\min }(P_i), i\in \overline{1,2}\}\). Therefore, the nonlinear closed-loop coupled system (13) is exponential stable over \(S_\sigma (\delta _{11}, \delta _{12}; \delta _{21}, \delta _{22})\).
Appendix 2
Proof of Theorem 2
Define \(P_{hi}=X_{hi}^{-1}, Q_{hi}=Y_{hi}^{-1}, K_m=\bar{K}_mX_{0}^{-1},\) \(W_{ns}=\bar{W}_{ns}Y_{0}^{-1},\) \(U_{1il}=Y_{1i}^{-1}\bar{U}_{1il}Y_{1i}^{-1}, U_{2il}=Y_{2i}^{-1}\bar{U}_{2il}Y_{2i}^{-1},\) \(\Gamma _{1il}=Y_{1i}^{-1}\bar{\Gamma }_{1il}Y_{1i}^{-1}, h,i,l\in \overline{1,2}\). Applying Schur complement and the matrix inequalities: \(-X_{11}X_{12}^{-1}X_{11}\le -2\varepsilon _1 X_{11}+\varepsilon _1^{2}X_{12}\), \(-Y_{11}Y_{12}^{-1}Y_{11}\le -2\varepsilon _2 Y_{11}+\varepsilon _2^{2}Y_{12}\). By applying Lemma 2, we can derive from (21) that
where \(\hat{X}_{1i}=\mathcal {A}_1^{T}(X_{1i}-X_0)^{T}+\mathcal {B}_1(\theta _{i}X_0)\), \(\hat{Y}_{1i}=\mathcal {A}_2^{T}(Y_{1i}-Y_0)^{T}+\mathcal {B}_2(\epsilon _{i}Y_0)\), \(\Theta _{1il}^{vmwn}(z)=\bar{\Xi }_{1il}^{vmwn}(z)+\mathcal {B}_1X_0\mathcal {A}_1+ (\mathcal {B}_1X_0\mathcal {A}_1)^{T}+\mathcal {B}_2Y_0\mathcal {A}_2+(\mathcal {B}_2 Y_0\mathcal {A}_2)^{T}\), \(\mathcal {A}_1=[I \ 0 \ 0 \ 0]\), \(\mathcal {B}_1=\text {col}(B_{1v}K_m, 0, 0, 0)\), \(\mathcal {A}_2=[0 \ I \ 0 \ I]\), \(\mathcal {B}_2=\text {col}(0, B_{u_2}(z)W_{ns}, 0, 0)\), and
in which \(\bar{\Phi }_{1il}^{vm}=\frac{1}{l_2-l_1}\{(\frac{\ln \mu _1}{\delta _{1l}} +2\xi )X_{1i}+\frac{1}{\delta _{1l}}X_{1i}(P_{11}-P_{12})X_{1i} +A_{1v}X_{1i}+X_{1i}A_{1v}^{T}\}\), \(\bar{\Phi }_{1i}^{v}(z)=G_{1v}Y_{1i}+X_{1i}G_{2v}^{T}(z)\), and \(\bar{\Phi }_{1il}^{wn}(z)=(\frac{\ln \mu _1}{\delta _{1l}}+2\xi )Y_{1i} +\frac{1}{\delta _{1l}}Y_{1i}(Q_{11}-Q_{12})Y_{1i}+A_{2w}(z)Y_{1i} +Y_{1i}A_{2w}^{T}(z)-\frac{\pi ^{2}}{(l_2-l_1)^{2}}\bar{U}_{1il}, \bar{\Phi }_{1il}(z)=-\Upsilon (z)Y_{1i}-Y_{1i}\Upsilon ^{T}(z)+\bar{U}_{1il}\).
Based on Lemma 3, it can be concluded that the matrix inequalities (54) imply that
Pre- and post-multiplying (56) by \(\text {diag}\{P_{1i},Q_{1i},Q_{1i},Q_{1i}\}\) yields that the matrix inequalities (56) are equivalent to (18) with \(h=1\). Pre- and post-multiplying (19) by \(\text {diag}\{P_{1i},Q_{1i},Q_{1i}\}\) yields with \(h=2\). Therefore, it can be concluded that the conclusion of this theorem directly follows from Theorem 1, which completes the proof.
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Shi, XD., Wang, ZP., Qiao, J. et al. Fuzzy Intermittent Control for Nonlinear PDE-ODE Coupled Systems. Int. J. Fuzzy Syst. 26, 2585–2601 (2024). https://doi.org/10.1007/s40815-024-01748-6
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DOI: https://doi.org/10.1007/s40815-024-01748-6