Stabilization of an ODE–Schrödinger Cascade
Introduction
The backstepping approach, which was originally developed for parabolic PDEs [1], [2], has recently been applied to control problems for PDE–ODE cascades [3], [4], [5], [6], [7] etc., with applications of interest including fluids, structures, thermal, chemically-reacting, and plasma systems. This method uses an invertible Volterra integral transformation together with the boundary feedback to convert the unstable plant into a well-damped target system. The kernel of this transformation satisfies a certain PDE and ODE, which turn out to be solvable in closed form. In [3], the backstepping method was applied to a system which consists of the first-order hyperbolic PDE coupled with a second-order (in space) ODE. This system resembles the Korteweg–de Vries equation which describes shallow water waves and ion acoustic waves in plasma. In [5], predictor-like feedback laws and observers have been developed for diffusion PDE–ODE cascades. In [6], an explicit feedback law was developed that compensates the wave PDE dynamics at the input of an linear time-invariant ODE and stabilizes the overall system. In [7], PDE–ODE cascades considered were extended from Dirichlet type interconnections to Neumann type interconnections. For PDE–ODE cascades considered above, the interconnection between the PDE and the ODE is one directional. For example, in [5], the dynamics at the input of the ODE is governed by a heat equation, whereas the ODE does not act on the PDE. In some cases, the interconnection between them could be bi-directional, i.e., the PDE and ODE are coupled with each other as discussed in [8].
In this paper, we consider a problem of stabilization of an ODE–Schrödinger equation cascade as in (1), (2), (3), (4), where the interconnection between them is bi-directional at a single point: where , , ; is the state of ordinary differential equation; is the state of Schrödinger equation; and is the control force to the entire system. The whole system is depicted in Fig. 1. Both states of ODE and Schrödinger equation are complex valued. The motivation for this kind of problem can be provided in the context of various applications in quantum mechanics, chemical process control, and other areas.
The stabilization of the linearized Schrödinger equation using boundary control was investigated in [9], [10], [11]. For exact controllability and observability results, see [12], [13], [14]. The interconnection of Schrödinger–heat equation with boundary coupling was considered in [15] and the Schrödinger equation has the Gevrey regularity under the compensation of the heat equation. As in [11], [16], the Schrödinger equation is usually considered as a complex-valued heat equation such that the backstepping method developed for parabolic PDEs could be applied. Motivated by two-step backstepping transformations in [5], which was adopted to improve performance and achieve exponential stability with arbitrarily fast decay rate, we adopt two-step backstepping control design to make the system stable in this paper.
Compared with our previous works using backstepping designs, the main contributions of the results in this paper lie in:
- (i)
Instead of one-step backstepping control, which results in difficulty in finding the kernels for the stabilization of the ODE–Schrödinger cascade considered in this paper, the design developed in this paper is based on a two-step backstepping transformation by introducing an intermediate system and an intermediate control.
- (ii)
Instead of the Lyapunov synthesis, the Riesz basis approach is adopted in this paper, through which the exponential stability of the closed-loop system was built with the pre-designed decay rate and the spectrum-determined growth condition was obtained.
The paper is organized as follows. In Section 2, the two-step backstepping design is developed using the bounded and invertible operators. First, we design the comprehensive control to convert the original system into the intermediate system. Secondly, we design the intermediate control to convert the intermediate system into the final target system. Section 3 is devoted to the spectral analysis of the target system. In Section 4, Riesz spectral method is adopted for the stability analysis of the closed-loop system. Finally, a simulation example and the concluding remarks are provided in Section 5.
In this paper, we consider the following energy Hilbert space with inner product and -norm
Section snippets
Backstepping design
The control objective is to make the system (1), (2), (3), (4) exponentially stable. To achieve this, a new cascaded ODE–PDE target system is introduced in the form: where , is an arbitrary pre-defined decay rate, and we assume that the pair is stabilizable and take to be a known vector such that is Hurwitz.
In this section, we seek the boundary controller in (4) to exponentially
Stability analysis for the target system
In this section, we consider the target system (8), (9), (10), (11). Define the system operator of (8), (9), (10), (11) by Then (8), (9), (10), (11) can be written as an evolution equation in : where .
Theorem 1 Let be given by (55). Then exists and is compact on and hence , the spectrum of , consists of isolated eigenvalues of finitely algebraic
Stability analysis for the closed-loop system
In this section, we will investigate the stability of the closed-loop systems for both and .
Simulation results and concluding remarks
In this section, we present the results of numerical simulations for the system (1), (2), (3), (4) with boundary control (37), (52). The scalar case is considered here, with the parameters of the system taken as . The response of the closed-loop of the plant (1), (2), (3), (4) are shown in Fig. 3. Both the ODE and Schrödinger equation are stabilized. Fig. 4 shows the control effort (only the real part is shown).
In conclusion, we have designed an explicit feedback law for a
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The second author is supported by the National Natural Science Foundation of China.