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Null Controllability of a Linearized Korteweg--de Vries Equation by Backstepping Approach

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Abstract

We prove the null controllability of a linearized Korteweg–de Vries equation with a Dirichlet control on the left boundary. Instead of considering classical methods, i.e., Carleman estimates, the moment method, etc., we use a backstepping approach, which is a method usually used to handle stabilization problems.

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... People have carried out a lot of research on the KdV equation, see [1][2] and reference therein. For changing the state of KdV for satisfying our purpose, its control problem is introduced, for example, kinds of stability and controllability results for KdV can be found in [3][4][5][6][7] and reference therein. ...
... , | ∈ 0,1 , ∈ , 2 , then, , and satisfies Next, we will prove the existence of kernel function , and . Then, we know , satisfying an integral equation For any ∈ , we define the recursive formula as Next, we will adopt the method in [5] to prove the existence of , . Let ℙ be the space of polynomials of one variable on , we define operator by ...
... We write the operator as the sum of seven linear operators for simplifying the estimate. The definitions of the first six operators are the same as those in [5] as which shows the existence of , . With the same approach in [5], , ∈ is proved. ...
Article
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This paper considers the exponential stabilization of coupled ordinary differential equation (ODE)-linearized Korteweg-de Vries (KdV) equation system coupled at right boundary point with left boundary control. Firstly, we transfer the original system into an exponentially stable target system by backstepping transformation. Secondly, we show the existence of the kernels in forward and backward transformation. Finally, we prove the exponential stability of the closed-loop system.
... This was used to prove a host of results on the boundary stabilization of partial dierential equations: let us cite for example [24] and [39] for the wave equation, [46,47] for the Korteweg-de Vries equation, [2]*Chapter 7 for an application to rstorder hyperbolic systems, and also [17], which combines the backstepping method with Lyapunov functions to prove nite-time stabilization in H 2 for a quasilinear 2 × 2 hyperbolic system. ...
... where F = (F n ) n∈Z ∈ E will be characterized below. The regularity comes from the denition of the convolution product, (14), (49) and (46), and one can check, using (47), that k n,λ is a solution of (45). ...
... and nally, by integration by parts in the rst term, (46), and adding α, F λ T λ ϕ (N ) ...
Article
We use a variant the backstepping method to study the stabilization of a 1-D linear transport equation on the interval \begin{document} (0,L) \end{document}, by controlling the scalar amplitude of a piecewise regular function of the space variable in the source term. We prove that if the system is controllable in a periodic Sobolev space of order greater than \begin{document} 1 \end{document}, then the system can be stabilized exponentially in that space and, for any given decay rate, we give an explicit feedback law that achieves that decay rate. The variant of the backstepping method used here relies mainly on the spectral properties of the linear transport equation, and leads to some original technical developments that differ substantially from previous applications.
... Because we proved the uniqueness of solutions in the previous section, this constructed solution is the unique solution. The main difficulty is to give estimates on this solution, which is done in the paper [Xia19]. ...
... As the backstepping method has already been used for a rapid stabilization for this KdV system, one may naturally expect the smalltime stabilization. In the recent paper [Xia19], the author used this technique to give a new proof of null controllability of the linearized KdV equation. However, when one considers the stabilization problems, there came a difficulty of lacking regularity on the control (feedback) term y(t, 0). ...
... Here, we are not going to reconstruct the whole theory of transposition solutions, which is already well explained in the book [Cor07a] (one can also see similar cases in [CN17,CRX17]). Based on the method introduced in [CN17] and the estimates given in [Xia19], we are able to stabilize system (4.1.5)-(4.1.8) in small time. ...
Thesis
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This thesis is devoted to the study of stabilization of partial differential equations by nonlinear feedbacks. We are interested in the cases where classical linearization and stationary feedback law do not work for stabilization problems, for example KdV equations and Burgers equations. More precisely, it includes three important cases : stabilization of nonlinear systems whose linearized systems are not asymptotically stabilizable ; small-time local stabilization of linear controllable systems ; small-time global stabilization of nonlinear controllable systems. We find a strategy for the small-time global stabilization of the viscous Burgers equation : small-time global approximate stabilization and small-time local stabilization. Moreover, using a quadratic structure, we prove that the KdV system is exponentially stabilizable even in the case of critical lengths.
... for some constants C 1 , C 2 > 0. Thus, by looking for an invertible transformation under a certain form, degrees of freedom are resolved and the problem of stabilization becomes one of solving the PDE satisfied by the kernel of the Volterra transformation. Since this seminal work, this backstepping strategy has been applied to many different PDE systems, obtaining exponential or rapid stabilization for the wave equation ( [109] and [141]), for the Korteweg-de Vries equation ( [39], more recently [155,156]). A general presentation for an application to first-order hyperbolic systems can be found in [24, chapter 7]. ...
... Even when it seems difficult to aim for target systems with finite-time convergence, backstepping can help achieve finite-time stabilization. Indeed, a strategy has been developed in [67,155,156], using the explicit feedback laws obtained by the backstepping method. The general strategy is to divide the interval [0, T ] in smaller intervals [t n , t n+1 ], the length of which tends to 0, and on which one gets exponential stabilization with decay rates λ n , with λ n → ∞, by applying feedbacks k λn . ...
... Then, for well-chosen t n , λ n , the trajectory thus obtained reaches 0 in time T , with a piecewise H 1 , explicit, closed-loop control. For example, in [155] the author derives an explicit feedback law to stabilize a linearized KdV equation exponentially, with a Dirichlet control on the left boundary. This yields the following decay estimates for a given exponential decay rate λ, for the state y and the feedback u := k λ (y): ...
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.
... This was used to prove a host of results on the boundary stabilization of partial differential equations: let us cite for example [19] and [25] for the wave equation, [31,32] for the Korteweg-de Vries, [2, chapter 7] for an application to first-order hyperbolic systems, and also [15], which combines the backstepping method with Lyapunov functions to prove finite-time stabilization in H 2 for a quasilinear 2 × 2 hyperbolic system. ...
... Proof. It is clear, by definition of H m per , and using (31), that for α ∈ H m per , the expression ...
... The general strategy (as is done in [12], [31]) is to divide the interval [0, T ] in smaller intervals [t n , t n+1 ], the length of which tends to 0, and on which one applies feedbacks to get exponential stabilization with decay rates λ n , with λ n → ∞. Then, for well-chosen t n , λ n , the trajectory thus obtained reaches 0 in time T . ...
Preprint
We use the backstepping method to study the stabilization of a 1-D linear transport equation on the interval (0, L), by controlling the scalar amplitude of a piecewise regular function of the space variable in the source term. We prove that if the system is controllable in a periodic Sobolev space of order greater than 1, then the system can be stabilized exponentially in that space and, for any given decay rate, we give an explicit feedback law that achieves that decay rate.
... Backstepping based feedback control given by an integral operator, can be computed explicitly and calculated numerically by successive approximation scheme and this approach requires much less computational effort, see [12,15,33]. Moreover, this explicit feedback law is very useful for getting the other results like null-controllability, and finite time stabilization, see [34][35][36]. ...
... In [34], null controllability of the heat equation has been proved by a combination of backstepping method and Lebeau-Robbiano strategy. This approach further gives the null controllability for the KdV equation in [36]. In this context, it will be very interesting to explore this method for studying approximate controllability cases. ...
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In this article, we study the boundary feedback stabilization of some one-dimensional nonlinear coupled parabolic-ODE systems, namely Rogers-McCulloch and FitzHugh-Nagumo systems, in the interval (0, 1). Our goal is to construct an explicit linear feedback control law acting only at the right end of the Dirichlet boundary to establish the local exponential stabilizability of these two different nonlinear systems with a decay e^ {-ωt} , where ω ∈ (0, δ] for the FitzHugh-Nagumo system and ω ∈ (0, δ) for the Rogers-McCulloch system and δ is the system parameter that presents in the ODE of both coupled systems. The feedback control law, derived by the backstepping method forces the exponential decay of solution of the closed-loop nonlinear system in both L^2 (0, 1) and H^1 (0, 1) norms, respectively, if the initial data is small enough. We also show that the linearized FitzHugh-Nagumo system is not stabilizable with exponential decay e^ {-ωt} , where ω > δ.
... However, in our case the related eigenfunctions do not form a Riesz basis, due to the fact that the operator is neither self-adjoint nor skew-adjoint. In fact they are not even complete in L 2 (0, L), see [29], which prevents us from directly applying those methods. Due to the existence of the critical length set, it does not seem natural to consider Carleman estimates. ...
... Originally introduced to stabilize system exponentially [15,20], recently it is further developed as a tool for null control and small-time stabilization problems [14,17,[28][29][30][31], the so called piecewise backstepping, which shares the advantage that the feedback (control) is well formulated. It consists in stabilizing system with arbitrary exponential decay rate (rapid stabilization) with explicit computable estimates, and splitting the time interval into infinite many parts such that on each part backstepping exponential stabilization is applied to make the energy divide at least by 2. Concerning our KdV case, at least for non-critical cases, rapid stabilization by backstepping is achieved in [13], where they used the controllability of KdV equation with control of the form b(t) = u x (t, 0) − u x (t, L) as an intermediate step. ...
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The controllability of the linearized KdV equation with right Neumann control is studied in the pioneering work of Rosier [25]. However, the proof is by contradiction arguments and the value of the observability constant remains unknown, though rich mathematical theories are built on this totally unknown constant. We introduce a constructive method that gives the quantitative value of this constant.
... However, in our case the related eigenfunctions do not form a Riesz basis, due to the fact that the operator is neither self-adjoint nor skew-adjoint. In fact they are not even complete in L 2 (0, L), see [29], which prevents us from directly applying those methods. Due to the existence of the critical length set, it does not seem natural to consider Carleman estimates. ...
... • Is backstepping another option? Originally introduced to stabilize system exponentially [15,20], recently it is further developed as a tool for null control and small-time stabilization problems [14,29,28,17,30], the so called piecewise backstepping, which shares the advantage that the feedback (control) is well formulated. It consists in stabilizing system with arbitrary exponential decay rate (rapid stabilization) with explicit computable estimates, and splitting the time interval into infinite many parts such that on each part backstepping exponential stabilization is applied to make the energy divide at least by 2. Concerning our KdV case, at least for non-critical cases, rapid stabilization by backstepping is achieved in [13], where they used the controllability of KdV equation with control of the form b(t) = u x (t, 0) − u x (t, L) as an intermediate step. ...
Preprint
Full-text available
The controllability of the linearized KdV equation with right Neumann control is studied in the pioneering work of Rosier [25]. However, the proof is by contradiction arguments and the value of the observability constant remains unknown, though rich mathematical theories are built on this totally unknown constant. We introduce a constructive method that gives the quantitative value of this constant.
... This was used to prove a host of results on the boundary stabilization of partial differential equations: let us cite for example [20] and [27] for the wave equation, [35,36] for the Korteweg-de Vries, [2, chapter 7] for an application to first-order hyperbolic systems, and also [16], which combines the backstepping method with Lyapunov functions to prove finite-time stabilization in H 2 for a quasilinear 2 × 2 hyperbolic system. ...
... As we have mentioned in the introduction, one of the advantages of the backstepping method is that it can provide explicit eedback laws for exponential stabilization. This allows the construction of explicit controls for null controllability ( [35,13]) as well as time-varying feedbacks that stabilize the system in finite time T > 0 ( [36,13]). ...
... (Yuhu Wu), bzguo@iss.ac.cn (Bao-Zhu Guo). (Pazoto, 2005;Marx et al., 2017;Kang-Fridman, 2019;Chentouf-Guesmia, 2022), optimal control (Boulanger-Trautmann, 2017), backstepping methods (Xiang, 2019), internal control (Cerpa-Montoya-Zhang, 2020;Komornik-Pignotti, 2020;Parada-Crépeau-Prieur, 2022), localized damping (Perla Menzala-Vasconcellos-Zuazua, 2002;Wang-Zhou, 2023), and others. Among these, the boundary control approach stands out as a highly feasible method due to its ease of implementation in engineering applications, both economically and practically. ...
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In this paper, we study the absolute exponential stability of the Korteweg-de Vries-Burgers equation under two distinct types of nonlinear boundary position feedback controls. We propose criteria that adhere to the sector-bounded and parabolic-restricted conditions, thereby encompassing a broad spectrum of nonlinear controllers. For each of these two nonlinear control strategies, we establish the well-posedness of the ensuing closed-loop system through the utilization of the Faedo-Galerkin approximation method. Furthermore, by crafting specific Lyapunov functionals, we demonstrate that the closed-loop systems exhibit global exponential stability in the L 2-space and semi-global exponential stability in the H m spaces for m = 1, 2, 3 respectively. The explicit exponential decay rates of the closed-loop system solutions are determined, depending upon the dissipative and diffusive parameters. Some numerical simulations using a finite difference scheme are presented to illustrate the effectiveness of the proposed controls.
... For example, models of the transmission of electric lines and quantum hydrodynamic models are described by third-order partial differential equations. In papers [1,2], for example, nonlocal boundary value problems for third-order partial differential equations were studied, and in [3][4][5][6][7][8], the properties of solutions to linearized Korteweg-de Vries equations were studied. In [9], the question of the existence and uniqueness of solutions to the Goursat-Dirichlet problem was studied. ...
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In this paper, we study the spectral properties of a class of degenerate third-order partial differential operators with variable coefficients presented in a rectangle. Conditions are found to ensure the existence and compactness of the inverse operator. A theorem on estimates of approximation numbers is proven. Here, we note that finding estimates of approximation numbers, as well as extremal subspaces, for a set of solutions to the equation is a task that is certainly important from both a theoretical and a practical point of view. The paper also obtained an upper bound for the eigenvalues. Note that, in this paper, estimates of eigenvalues and approximation numbers for the degenerate third-order partial differential operators are obtained for the first time.
... Armed with the Ce C √ λ estimates (2.16)-(2.17), exactly the same procedure proposed in [36,52,53] by using piecewise stabilizing controls leads to the null controllability. In this section we construct similar feedback laws while keeping an extra attention on control costs. ...
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The finite time stabilizability of the one dimensional heat equation is proved by Coron–Nguyên [16], while the same question for multidimensional spaces remained open. Inspired by Coron–Trélat [17] we introduce a new method to stabilize multidimensional heat equations quantitatively in finite time and call it Frequency Lyapunov method. This method naturally combines spectral inequality [35] and constructive feedback stabilization. As application this approach also yields a constructive proof for null controllability, which gives sharing optimal cost with explicit controls and works perfectly for related nonlinear models such as Navier–Stokes equations [52].
... Proof. We mimic the proof of the finite-time stabilization of the heat equations [25,52], as relatively standard; see also [28,50,51] for similar results. The proof is followed by five steps: ...
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We construct explicit time-varying feedback laws that locally stabilize the two-dimensional internal controlled incompressible Navier–Stokes equations in arbitrarily small time. We also obtain quantitative rapid stabilization via stationary feedback laws, as well as quantitative null-controllability with explicit controls having e^{C/T} costs.
... The key idea is to look for a Volterra transformation of the second kind (which has the advantage of being invertible) mapping the original system to a target system for which the stability is easy to prove. These transformations were extensively used in the last decades, for instance for the heat equation [2,11,12], for first order hyperbolic linear then quasilinear systems [28,67], and for many particular cases (see [14,70,71] for the KdV equations, [32] for coupled PDE-ODE systems, [29] for the viscous Burgers equations, or [51] for an overview), the goal of each new study being to show that such a transformation exists. However, considering only a special type of invertible transformations necessarily restricts the cases where this method can be applied. ...
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... These transforms are more general, and therefore potentially more powerful, but they are not always invertible and proving the invertibility of the candidate transform becomes one of the main difficulties. A good overview of the method when using a Volterra transform can be found in [103] or [150], and in [48, Section 2.1] for more general transforms. ...
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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.
... Such a description would also be interesting for finite time stabilization problems, namely Ce Cλ β type estimates. So far such estimates have been achieved via different methods, relying on direct energy estimates [22], Bessel functions [25], iterative methods [47], and spectral inequalities [48,49]. However, so far such important property has not yet been discovered for Fredholm type backstepping methods. ...
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... Feedback control given by an integral operator in backstepping can be computed explicitly and calculated numerically by successive approximation scheme (see (2.6)), and this approach requires much less computational effort. Moreover, this explicit feedback law is very useful for getting the other results like null controllability and finite time stabilization [16], [20], [65]. ...
... The key idea is to look for a Volterra transformation of the second kind (which has the advantage of being invertible) mapping the original system to a target system for which the stability is easy to prove. These transformations were extensively used in the last decades, for instance for the heat equation [12,11,2], for first order hyperbolic linear then quasilinear systems [65,28], and for many particular cases (see [14,69,68] for the KdV equations, [32] for coupled PDE-ODE systems, [29] for Burgers equations, or [51] for an overview), the goal of each new study being to show that such a transformation exists. However, considering only a special type of invertible transformations necessarily restricts the cases where this method can be applied. ...
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Full-text available
In this article we study the so-called water tank system. In this system, the behavior of water contained in a 1-D tank is modelled by Saint-Venant equations, with a scalar distributed control. It is well-known that the linearized systems around uniform steady-states are not controllable, the uncontrollable part being of infinite dimension. Here we will focus on the linearized systems around non-uniform steady states, corresponding to a constant acceleration of the tank. We prove that these systems are controllable in Sobolev spaces, using the moments method and perturbative spectral estimates. Then, for steady states corresponding to small enough accelerations, we design an explicit Proportional Integral feedback law (obtained thanks to a well-chosen dynamic extension of the system) that stabilizes these systems exponentially with arbitrarily large decay rate. Our design relies on feedback equivalence/backstepping.
... Although sometimes observers can be designed to tackle this issue [32]. Other methods exist, as for instance the study of stability based on time delay systems introduced in [8] where the authors give 1 see [14,Definition 1.4.3] for a proper definition and [15] for an overview of this method 2 see [22] for more details criteria for exponential stability in the W 2,p norms for any p ≥ 1 (see also [33]). ...
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... Proof of Theorem 5.1. We mimic the prove of the finite time stabilization of the heat equations [16,35], as relatively standard, see also [19,34,33] for similar results. The proof is followed by five steps: ...
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We provide explicit time-varying feedback laws that locally stabilize the two dimensional internal controlled incompressible Navier-Stokes equations in arbitrarily small time. We also obtain quantitative rapid stabilization via stationary feedback laws, as well as quantitative null controllability with explicit controls having eC/Te^{C/T} costs.
... Armed with the Ce C √ λ estimates (2.17)-(2.18), exactly the same procedure proposed in [13,40,41] by using piecewise stabilizing controls leads to the null controllability. In this section we construct similar feedback laws while keeping an extra attention on control costs. ...
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... Actually under such radial assumption the NLKG can be more or less regarded as an one dimensional wave equation, for which the study of controllability, stability and stabilization is nearly complete as the situation is much more clear than the higher dimension ones (while GCC is automatically fulfilled), for example local controllability and global controllability even with different type of nonlinearities by Zuazua [44,46] (see also [11] for an introductory proof of local controllability), exponential stabilization by Ricatti type strategy Coron-Trélat [16] or by Backstepping [37] (see also [13,43], so far this method only has been applied for one dimensional models). ...
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... The presented procedure avoid solving the kernel equation in higher dimension case. Meanwhile, the backstepping method can also be used in finite time stabilization and controllability of PDEs (see [11] and [12]). ...
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In this paper, we consider the small-time local controllability problem for the KdV system on an interval with a Neumann boundary control. In 1997, Rosier discovered that the linearized system is uncontrollable if and only if the length is critical, namely L=2π(k2+kl+l2)/3L=2\pi\sqrt{(k^2+ kl+ l^2)/3} for some integers k and l. Coron and Cr\'epeau (2003) proved that the nonlinear system is small-time locally controllable even if the linearized system is not, provided that k=lk= l is the only solution pair. Later, Cerpa and Crepeau showed that the system is large-time locally controllable for all critical lengths. In 2020, Coron, Koenig, and Nguyen found that the system is not small-time locally controllable if 2k+l∉3N2k+l\not \in 3\mathbb{N}^*. We demonstrate that if the critical length satisfies 2k+l3N2k+l \in 3\mathbb{N}^* with klk\neq l, then the system is not small-time locally controllable. This paper, together with the above results, gives a complete answer to the longstanding open problem on the small-time local controllability of KdV on all critical lengths since the pioneer work by Rosier
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We consider a problem of boundary feedback stabilization of first-order hyperbolic partial differential equations (PDEs). These equations serve as a model for physical phenomena such as traffic flows, chemical reactors, and heat exchangers. We design controllers using a backstepping method, which has been recently developed for parabolic PDEs. With the integral transformation and boundary feedback the unstable PDE is converted into a “delay line” system which converges to zero in finite time. We then apply this procedure to finite-dimensional systems with actuator and sensor delays to recover a well-known infinite-dimensional controller (analog of the Smith predictor for unstable plants). We also show that the proposed method can be used for the boundary control of a Korteweg–de Vries-like third-order PDE. The designs are illustrated with simulations.
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In this paper we study the problem of boundary feedback stabilization for the unstable heat equation u t(x, t) = u xx(x, t) + a(x)u(x, t). This equation can be viewed as a model of a heat conducting rod in which not only is the heat being diffused (mathematically due to the diffusive term u xx] but also the destabilizing heat is generating (mathematically due to the term au with a > 0). We show that for any given continuously differentiable function a and any given positive constant λ we can explicitly construct a boundary feedback control law such that the solution of the equation with the control law converges to zero exponentially at the rate of λ. This is a continuation of the recent work of Boskovic, Krstic, and Liu [IEEE Trans. Automat. Control, 46 (2001), pp. 2022-2028] and Balogh and Krstic [European J. Control, 8 (2002), pp. 165-176].
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In this paper, we deal with both nonviscous and viscous Burgers-type equations on a bounded interval. We study the global exact controllability of these equations when we have three controls: one control is the right member of the equation and is constant with respect to the space variable; the two others are the boundary values. For a first time, we are interested in nonviscous Burgers-type equations and we prove their global exact controllability for every time T>0T>0 with such controls thanks to the return method. Then we prove the global exact controllability of the viscous Burgers equation for every time T>0T>0.
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In this paper, we deal with the viscous Burgers equation with a small dissipation coe-cient ". We prove the (global) exact controllability property to nonzero constant states, that is to say, the possibility of flnding boundary values such that the solution of the associated Burgers equation is driven to a constant state. The main objective of this paper is to do so with control functions whose norms in an appropriate space are bounded independently of ", which belongs to a suitably small interval. This result is obtained for a su-ciently large time.