Article

On boundary stability of inhomogeneous 2×22\times2 1-D hyperbolic systems for the C1C^1 norm.

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Abstract

We study the exponential stability for the C¹ norm of general 2 × 2 1-D quasilinear hyperbolic systems with source terms and boundary controls. When the propagation speeds of the system have the same sign, any nonuniform steady-state can be stabilized using boundary feedbacks that only depend on measurements at the boundaries and we give explicit conditions on the gain of the feedback. In other cases, we exhibit a simple numerical criterion for the existence of basic C¹ Lyapunov function, a natural candidate for a Lyapunov function to ensure exponential stability for the C¹ norm. We show that, under a simple condition on the source term, the existence of a basic C¹ (or Cp , for any p ≥ 1) Lyapunov function is equivalent to the existence of a basic H² (or Hq , for any q ≥ 2) Lyapunov function, its analogue for the H² norm. Finally, we apply these results to the nonlinear Saint-Venant equations. We show in particular that in the subcritical regime, when the slope is larger than the friction, the system can always be stabilized in the C¹ norm using static boundary feedbacks depending only on measurements at the boundaries, which has a large practical interest in hydraulic and engineering applications.

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... The authors also considered Lyapunov approach and LaSalle invariance principle to study the stabilization. It is also worth mentioning that, the Lyapunov approach has been successfully used in the recent works [31], [32] for linear and nonlinear hyperbolic model. One may also see the book [3] for other hyperbolic model. ...
... This proves the trace regularity (32). Thus to conclude the Proposition 3.3, we need to prove (33). ...
... This inequality forces us to take T > 1. Therefore we now have the desired inequality (33). By using the density of D(A) in L 2 (0, 1), we can prove all the three inequalities (31), (32) and (33) ...
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In this paper, we study the controllability of a coupled first-order hyperbolic-elliptic system in the interval (0,1) by a Dirichlet boundary control acting at the left endpoint of the hyperbolic component only. Using the multiplier approach and compactness-uniqueness argument, we establish the exact controllability for the hyperbolic component of the model, at any time T>1T>1 . We explore the method of moments to conclude the exact controllability at the critical time T=1. For the case of small time, that is for T<1T<1, we show that the system is not null controllable. Further, using a Gramian-based approach introduced by Urquiza, we prove the exponential stabilization of the corresponding closed-loop system with arbitrary prescribed decay rate by means of boundary feedback control law.
... In this article we present cutting-edge tools for stabilizing nonlinear 1D hyperbolic systems with boundary controls and for ensuring their exponential stability, or their ISS in some cases. We will state the results and only give ideas of the proofs, which can be found in detail in [91] and in [94,89,88,18,17,47,90,95,92,16], from which the results presented in this article are taken. While some methods presented have existed for decades, others are only very recent. ...
... We denote again A(0, x) = diag(Λ 1 , Λ 2 ) and, in the rest of this subsection, we assume that n = 2 unless specified otherwise. When Λ 1 and Λ 2 have the same sign, there always exists an energy-like Lyapunov function both for the C 1 norm and the H 2 norm, as shown in [88], Theorem 3.7. Assume that A, B and G are of class C 2 and Λ 1 Λ 2 > 0 and let M (x) = ∂ u B(0, x). ...
... In addition, we can see a strong similarity between the condition (3.27) and the condition (3.17) of Theorem 3.3 dealing with the H 2 norm. This enables the following comparison result [88] Corollary. Assume that A, B, G are of class C 3 and Λ 1 Λ 2 < 0 and let M = ∂ u B(0, ·). ...
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Hyperbolic systems model the phenomena of propagations at finite speeds. They are present in many fields of science and, consequently, in many human applications. For these applications, the question of stability or stabilization of their stationary state is a major issue. In this paper we present state-of-the-art tools to stabilize 1-D nonlinear hyperbolic systems using boundary controls. We review the power and limits of energy-like Lyapunov functions; the particular case of density–velocity systems; a method to stabilize shock steady-states; an extraction method allowing to use the spectral information of the linearized system in order to stabilize the nonlinear system; and some results on proportional-integral boundary control. We also review open questions and perspectives for this field, which is still largely open.
... Lyapunov techniques allows to establish exponential stabilization in Sobolev or C p spaces when term M is supposed to be small. Applications to linearized Saint Venant systems are given in [4,10,14,19,20]. ...
... In order to conclude on the whole stability, we have to prove that the infinite-dimensional part in (20) is not destabilized by the control. To prove the stability of the infinite-dimensional part, it suffices to see the second equation of (20) as an inhomogeneous Cauchy problem on M : ...
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... Hence, we can see that the feedforward controller P c (s ) seems to achieve the desired purpose. There is however an important limitation: the result is obtained under the assumption that the initial condition (18) is uniform and that the initial output density H(0 , L ) is already at the set point H * L . If this assumption is not verified, then initial transients may appear. ...
... Furthermore, in this special case of Saint-Venant equations, it is worth noting that conditions (a1)-(a3) and (b) ensure exponential stability not only in L 2 but also in C 0 for the linearized system (and thus locally in C 1 for the nonlinear system). This property follows directly from Theorem 3.2 and Corollary 1 in [18] (see also [17] ). ...
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Because they represent physical systems with propagation delays, hyperbolic systems are well suited for feedforward control. This is especially true when the delay between a disturbance and the output is larger than the control delay. In this paper, we address the design of feedforward controllers for a general class of 2×2 hyperbolic systems with a single disturbance input located at one boundary and a single control actuation at the other boundary. The goal is to design a feedforward control that makes the system output insensitive to the measured disturbance input. We show that, for this class of systems, there exists an efficient ideal feedforward controller which is causal and stable. The problem is first stated and studied in the frequency domain for a simple linear system. Then, our main contribution is to show how the theory can be extended, in the time domain, to general nonlinear hyperbolic systems. The method is illustrated with an application to the control of an open channel represented by Saint-Venant equations where the objective is to make the output water level insensitive to the variations of the input flow rate. Finally, we address a more complex application to a cascade of pools where a blind application of perfect feedforward control can lead to detrimental oscillations. A pragmatic way of modifying the control law to solve this problem is proposed and validated with a simulation experiment.
... Hence, we can see that the feedforward controller P c (s) seems to achieve the desired purpose. There is however an important limitation: the result is obtained under the assumption that the initial condition (18) is uniform and that the initial output density H(0, L) is already at the set point H * L . If this assumption is not verified, then initial transients may appear. ...
... Furthermore, in this special case of Saint-Venant equations, it is worth noting that conditions (a1), (a2), (a3) and (b) ensure exponential stability not only in L 2 but also in C 0 for the linearized system (and thus locally in C 1 for the nonlinear system). This property follows directly from Theorem 3.2 and Corollary 1 in [18] (see also [17]). This means that, if the disturbance d(t) is bounded, then all the internal signals of the control system are also guaranteed to be bounded. ...
Preprint
Because they represent physical systems with propagation delays, hyperbolic systems are well suited for feedforward control. This is especially true when the delay between a disturbance and the output is larger than the control delay. In this paper, we address the design of feedforward controllers for a general class of 2 times 2 hyperbolic systems with a single disturbance input located at one boundary and a single control actuation at the other boundary. The goal is to design a feedforward control that makes the system output insensitive to the measured disturbance input. We show that, for this class of systems, there exists an efficient ideal feedforward controller which is causal and stable. The problem is first stated and studied in the frequency domain for a simple linear system. Then, our main contribution is to show how the theory can be extended, in the time domain, to general nonlinear hyperbolic systems. The method is illustrated with an application to the control of an open channel represented by Saint- Venant equations where the objective is to make the output water level insensitive to the variations of the input flow rate. Finally, we address a more complex application to a cascade of pools where a blind application of perfect feedforward control can lead to detrimental oscillations. A pragmatic way of modifying the control law to solve this problem is proposed and validated with a simulation experiment.
... The second approach relies on Lyapunov functions. Many results on the boundary stabilization of first-order hyperbolic systems, linear and nonlinear, have been obtained using this approach: see for example the book [24], and the recent results in [91,92]. However, this approach can be limited, as it is sometimes impossible to obtain an arbitrary decay rate using Lyapunov functions (see [53,Remark 12.9, page 318] for a finite dimensional example). ...
... To investigate the stabilization of infinite-dimensional systems, there are three main types of approaches: the Gramian method (see for example [153,151,108]), Lyapunov functions (see for example [55], the book [24], and the recent results in [91,92], which study the boundary stabilization of hyperbolic systems), and the backstepping method. The latter is derived from a method in finite dimension, also called backstepping, used to stabilize stabilizable systems with an added chain of integrators (see [110,53,143] for an overview of the finite-dimensional case, and [56] or [118] for applications to partial differential equations). ...
Thesis
In this thesis we study controllability and stabilization questions for some hyperbolic systems in one space dimension, with an internal control. The first question we study is the indirect internal controllability of a system of two coupled semilinear wave equations, the control being a function of time and space. Using the so-called fictitious control method, we give sufficient conditions for such a system to be locally controllable around 0, and a natural condition linking the minimal control time to the support of the control. Then, we study a particular case where the aforementioned sufficient conditions are not satisfied, applying the return method.The second question in this thesis is the design of explicit scalar feedbacks to stabilize controllable systems. The method we use draws from the backstepping method for PDEs elaborated by Miroslav Krstic, and its most recent developments: thus, the controllability of the system under consideration plays a crucial role. The method yields explicit stationary feedbacks which stabilize the linear periodic transport equation exponentially, and even in finite time.Finally, we implement this method on a more complex system, the so-called water tank system. We prove that the linearized systems around constant acceleration equilibria are controllable if the acceleration is not too strong. Our method then yields explicit feedbacks which, although they remain explicit, are no longer stationary and require the addition of an integrator in the feedback loop.
... Using Lyapunov techniques, it is possible to establish exponential stabilization in Sobolev or C p spaces when the terms M •• are supposed to be small. Applications to Saint Venant systems are given in [16,17,8,5,12]. ...
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... There exists various way to design feedback laws for infinite dimensional systems: Riccati equations (see for instance [36,45] and the references therein), Gramian methods [31,46], Lyapunov functionals (see for instance [5,23,28,29,48]) or pole-shifting techniques [40,41], and among others. The backstepping method is also among these methods, and its use for infinite dimensional systems can be traced back to Russell [42] and to Balogh and Krstic [3] (we refer to [15,32,43] for an introduction to the finite dimensional backstepping method). ...
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... X ≤ Ce −γ t ||R 0 || X (2) where C, γ > 0 are constants independent on t and || · || X is a norm on a Banach space X . In [7,Chapter 1], typical examples of systems modeled by hyperbolic PDEs with such feedback boundary conditions are cited; the telegrapher equations for electrical lines, the shallow water (Saint-Venant) equations for open channels [20], the isothermal Euler equations for gas flow in pipelines or even the Aw-Rascle equations [4] for road traffic. However, it should be noted that, in previous examples, there is often an indomain coupling which is not present in our model. ...
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... The second approach relies on Lyapunov functions. Many results on the boundary stabilization of rst-order hyperbolic systems, linear and nonlinear, have been obtained using this approach: see for example the book [2], and the recent results in [21,22]. However, this approach can be limited, as it is sometimes impossible to obtain an arbitrary decay rate using Lyapunov functions (see [15]*Remark 12.9, page 318 for a nite dimensional example). ...
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... The second approach relies on Lyapunov functions. Many results on the boundary stabilization of firstorder hyperbolic systems, linear and nonlinear, have been obtained using this approach: see for example the book [2], and the recent results in [17,18]. However, this approach can be limited, as it is sometimes impossible to obtain an arbitrary decay rate using Lyapunov functions (see [14,Remark 12.9, page 318] for a finite dimensional example). ...
... In particular, the Lyapunov function they constructed is an extension of the entropy and can be made strictly negative definite by properly choosing the boundary conditions. This method has been later on widely used for hyperbolic conservation laws in the framework of C 1 solutions 11,20,21 or H 2 solutions 2,4,5,10,12,17,22 (see Ref. 3 for an overview of this method). ...
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... The second approach relies on Lyapunov functions. Many results on the boundary stabilization of firstorder hyperbolic systems, linear and nonlinear, have been obtained using this approach: see for example the book [2], and the recent results in [16,17]. However, this approach can be limited, as it is sometimes impossible to obtain an arbitrary decay rate using Lyapunov functions (see [13,Remark 12.9, page 318] for a finite dimensional example). ...
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This monograph explores the modeling of conservation and balance laws of one-dimensional hyperbolic systems using partial differential equations. It presents typical examples of hyperbolic systems for a wide range of physical engineering applications, allowing readers to understand the concepts in whichever setting is most familiar to them. With these examples, it also illustrates how control boundary conditions may be defined for the most commonly used control devices. The authors begin with the simple case of systems of two linear conservation laws and then consider the stability of systems under more general boundary conditions that may be differential, nonlinear, or switching. They then extend their discussion to the case of nonlinear conservation laws and demonstrate the use of Lyapunov functions in this type of analysis. Systems of balance laws are considered next, starting with the linear variety before they move on to more general cases of nonlinear ones. They go on to show how the problem of boundary stabilization of systems of two balance laws by both full-state and dynamic output feedback in observer-controller form is solved by using a “backstepping” method, in which the gains of the feedback laws are solutions of an associated system of linear hyperbolic PDEs. The final chapter presents a case study on the control of navigable rivers to emphasize the main technological features that may occur in real live applications of boundary feedback control. Stability and Boundary Stabilization of 1-D Hyperbolic Systems will be of interest to graduate students and researchers in applied mathematics and control engineering. The wide range of applications it discusses will help it to have as broad an appeal within these groups as possible.
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We consider the problem of output feedback stabilization for a quasilinear 2×2 system of first-order hyperbolic PDEs with boundary actuation and measurement. We design an output feedback control law, with actuation and measurement on only one end of the domain, and prove local H2 exponential stability of the closed-loop system. The proof of stability is based on the construction of a strict Lyapunov function which includes the observer states. The feedback law and output injection gains are found using the backstepping method for 2 × 2 system of first-order hyperbolic linear PDEs, developed by the authors in a previous work, which is briefly reviewed.
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Conditions for boundary feedback stabilizability of non-uniform linear 2×22×2 hyperbolic systems over a bounded interval are investigated. The main result is to show that the existence of a basic quadratic control Lyapunov function requires that the solution of an associated ODE is defined on the considered interval. This result is used to give explicit conditions for the existence of stabilizing linear boundary feedback control laws. The analysis is illustrated with an application to the boundary feedback stabilization of open channels represented by linearized Saint–Venant equations with non-uniform steady-states.
Penser globalement, agir localement
  • J.-M Coron
  • B Novel
  • G Bastin
J.-M. Coron, B. d'Andrea Novel and G. Bastin, Penser globalement, agir localement. Recherche-Paris 417 (2008) 82.
  • P M Dower
  • P M Farrell
P.M. Dower and P.M. Farrell, On linear control of backward pumped Raman amplifiers. Vol. 39 of IFAC Proceedings (2006) 547-552.
  • M Krstic
  • A Smyshlyaev
M. Krstic and A. Smyshlyaev, Boundary Control of PDEs: A Course on Backstepping Designs, Vol. 16. SIAM (2008).