Dissipative Boundary Conditions for One-Dimensional Nonlinear Hyperbolic Systems
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Citations
Stability and Boundary Stabilization of 1-D Hyperbolic Systems
Stabilization of a System of $n+1$ Coupled First-Order Hyperbolic Linear PDEs With a Single Boundary Input
Control of Homodirectional and General Heterodirectional Linear Coupled Hyperbolic PDEs
Backstepping boundary stabilization and state estimation of a 2 × 2 linear hyperbolic system
Local exponential H 2 stabilization of a 2 × 2 quasilinear hyperbolic system using backstepping
References
Introduction to Functional Differential Equations
Hyperbolic Systems of Conservation Laws and the Mathematical Theory of Shock Waves
Compressible fluid flow and systems of conservation laws in several space variables
Related Papers (5)
Frequently Asked Questions (9)
Q2. What is the proof of Lemma B.7?
in order to end the proof of Proposition 3.7, it remains only to check that, for n = 6 and therefore for every n 6, there exists K ∈ Mn,n(R) such that l = 3 and (3.24) hold.
Q3. What is the proof of Proposition B.6?
Let Q1, Q2, Q3, and Q4 be four elements of Sl such thattr (Qi) = 0 ∀i ∈ {1, 2, 3, 4}.(B.31)Then there exists Y ∈ Cl \\ {0} such thatY trQiȲ = 0 ∀i ∈ {1, 2, 3, 4}.(B.32)Proof of Proposition B.6.
Q4. What is the proof of Proposition A.1?
ρ1(K) = max{ρ1(K1), ρ1(K4)}.(A.2)Proof of Proposition A.1. Let D ∈ Dn,+. Let D1 ∈ Dl,+ and D2 ∈ Dn−l,+ be such thatD =(D1 00 D2).
Q5. What is the proof of Proposition B.3?
Let us first consider the case l = 1. Let i ∈ {1, . . . , n}. From (A.20), one has |Ai1| = Bi1, and therefore there exists Υi ∈ {−1, 1} such that Bi1 = εiAi1.
Q6. What is the proof of Proposition B.4?
Proposition B.4. Let K ∈ Mn,n(R), D ∈ Dn,+, l ∈ {1, . . . , n}, l vectors Aj ∈ Rn, j ∈ {1, . . . , l}, and l vectors Bj ∈ Rn, j ∈ {1, . . . , l}, be such that (A.20), (B.2), (B.3), and (B.4) hold.
Q7. if the assumption is removed, what is the correct answer?
Then there exist D ∈ Dn,+, an integer l ∈ {1, . . . , n}, l vectors Aj ∈ Rn, j ∈ {1, . . . , l}, and l vectors Bj ∈ Rn, j ∈ {1, . . . , l}, such that (A.19) and (A.20) hold andthe vectors Aj ∈ Rn, j ∈ {1, . . . , l}, are linearly independent,(B.2)DKD−1Aj = ρ1(K)Bj ∀j ∈ {1, . . . l},(B.3)|DKD−1X| ρ1(K)|X| ∀X ∈ Rn.(B.4)Remark B.2. Proposition B.1 is false if assumption (B.1) is removed.
Q8. what is the inverse of a kernel?
Note that (B.6) implies (B.4) with D := Idn. Let p ∈ {1, . . . , n} be the dimension of the kernel of KtrK − ρ1(K)2Idn and let (X1, . . . , Xp) be an orthonormal basis of this kernel.
Q9. What is the meaning of the term Kij?
Kij the term on the ith line and jth column of the matrix K. From (A.6), (A.7), (A.8), (A.9), (A.12), and (A.13), one gets thatKij = 0 ∀(i, j) ∈ {l + 1, . . . , n} × {1, . . . , l}.(A.16)Let K1 ∈ Ml,l(R), K2 ∈ Ml,n−l(R), K4 ∈ Mn−l,n−l(R) be such thatK =(K1 K20 K4).