Elsevier

Automatica

Volume 85, November 2017, Pages 43-52
Automatica

Brief paper
Output regulation for a class of linear boundary controlled first-order hyperbolic PIDE systems

https://doi.org/10.1016/j.automatica.2017.07.036Get rights and content

Abstract

This manuscript addresses the output regulation problem for a class of scalar boundary controlled first-order hyperbolic partial integro-differential equation (PIDE) systems with Fredholm integrals. In particular, with the advantage of the backstepping approach, simple structure systems can be obtained such that regulator equations for the state feedback regulator design are analyzed and solved in backstepping coordinates. Moreover, the finite time output regulation is achieved. In the observer-based output feedback regulator design, it is not necessary that the outputs to be controlled belong to the available output measurements and these outputs can be distributed, point-wise and/or boundary in nature, while the boundary placed measurements are used for regulator design. For the observer gains design, a transformation of the ODE–PDE system into an ODE–PDE cascade is considered. It is also shown that the separation principle holds for the output feedback regulator design and the exponential output regulation is realized for the resulting stable closed-loop system. Finally, the output regulation results are illustrated with two numerical simulations: a Korteweg–de Vries-like equation and a PDE–ODE interconnected system.

Introduction

Due to the wide area of applications, boundary control and observation of hyperbolic partial differential equations (PDE) systems have been active research topics during the last decade, e.g., Diagne, Bastin, and Coron (2012) and Krstic and Smyshlyaev (2008). The pioneering backstepping approach developed for parabolic PDEs (Bošković, Krstić, & Liu, 2001) has been applied to boundary controlled hyperbolic systems (Krstic & Smyshlyaev, 2008). The backstepping based stabilization method was applied to two coupled first order hyperbolic systems in Vazquez, Krstic, and Coron (2011), and to the general n+1 case in Di Meglio, Vazquez, and Krstic (2013) and the more general n+m case in Hu, Di Meglio, Vazquez, and Krstic (2015). Along the same line, minimum time control law was developed for n+m coupled hyperbolic PDEs in Auriol and Di Meglio (2016). Moreover, for the disturbance rejection problem, adaptive observers were constructed for hyperbolic PDEs in Aamo (2013) and Anfinsen and Aamo (2015). The linear first-order hyperbolic PIDEs considered in this manuscript were introduced in Krstic and Smyshlyaev (2008), which usually arise from two coupled PDEs with one being suitably perturbed. In Bernard and Krstic (2014), an adaptive output feedback controller was designed to deal with stabilization of PIDEs with unknown parameters and in Bribiesca-Argomedo and Krstic (2015) the boundary control concept was extended to the PIDEs setting with Fredholm operators that do not exhibit a strict feedback structure. In this work, state feedback and output feedback regulator design problems for PIDE systems are addressed.

Recently, state feedback regulators were designed to address the robust regulation problems for 2  × 2 hyperbolic and wave equation systems in Deutscher (2016) and Deutscher and Kerschbaum (2016). Along the line of contributions associated with results on output feedback regulator designs, the results in Deutscher (2015) on parabolic systems were extended to construct finite-time output regulators for 2  × 2 hyperbolic systems in Deutscher (2017). To complement this effort, in this work, the state and output feedback (using the measurement ym(t) and the reference signal yr(t)) regulators are designed for a class of the first-order hyperbolic PIDE systems and cover a large number of transport processes. The state feedback regulator problem is solved by constructing the regulator equations in the backstepping coordinates and the corresponding solvability conditions are discussed. The solution of the output feedback regulator design problem yields a reference and disturbance observer design. To end this, this amounts to the stabilization of the disturbance observer error system in form of a coupled ODE–PDE system. Motivated by results in Aamo (2013) for 2  × 2 hyperbolic systems and Deutscher (2015), a transformation into an ODE–PDE cascade is considered in this work. The proposed disturbance observer design is based on a transformation of the PDE observer error subsystem into new coordinates using the backstepping methods. Then, the transformed observer error system is decoupled into a triangular system in the backstepping coordinates, so that the ODE and PDE subsystems can be stabilized independently. In new coordinates, the stabilization of the ODE–PDE observer error subsystem becomes very simple. This also yields explicit existence conditions for the exponential convergence of the disturbance observer and these existence conditions can be checked explicitly in backstepping coordinates. Finally, it is worth mentioning that the exosystem is extended to generate polynomial type reference signals and the corresponding approach solving regulator equations is provided in this work.

In this manuscript, after the problem formulation in Section 2, the state feedback regulator problem is solved in Section 3. Section 4 introduces the design of the output feedback regulator, according to the separation principle. Finally, the results are demonstrated through illustrative simulations in Section 5.

Section snippets

Problem formulation

We consider the following hyperbolic PIDE systems on the domain tR+,z(0,1) presented in Bribiesca-Argomedo and Krstic (2015) : tx(z,t)=zx(z,t)+f(z)x(0,t)+0zg(z,ξ)x(ξ,t)dξ+z1h(z,ξ)x(ξ,t)dξ+g1(z)d1(t) x(1,t)=u(t)+g2d2(t) y(t)=Cx(t) ym(t)=x(0,t)with the input u(t)R. d1(t)R and d2(t)R are unmeasurable process and boundary input disturbances, respectively. f, g and h are real-valued continuous functions. g1C[0,1] and g2R in (1)–(2) are known

Output regulation by state feedback

First, the backstepping approach in Bribiesca-Argomedo and Krstic (2015) is applied to transform the plant (1)–(4) into a target system with a simple structure. Thereby, the new coordinates x̃(z,t) are introduced in the form of the integral transformation x̃(z,t)=Tcx(t)(z)=x(z,t)0zp(z,ξ)x(ξ,t)dξz1o(z,ξ)x(ξ,t)dξwith x(t)={x(z,t),z(0,1)} and integral kernels p(z,ξ) and o(x,ξ). Assume that the kernel p(z,ξ) and o(z,ξ) are the solutions of the kernel boundary value problems (BVP): ξp(z,ξ)+zp(

The design of output feedback regulator

In this section, the output regulator is designed to realize the output regulation of the system (1)–(4). In this section, we make the following assumptions:

  • (i)

    It is assumed that (qrT,Sr) is observable.

  • (ii)

    Eigenvalues of Sd are distinct.

  • (iii)

    The reference signal yr(t) and the measurement ym(t) (different from the controlled output y(t)) are known for the regulator design.

Since yr(t) is known, the state vr(t) of (6) can be estimated by applying the finite-dimensional reference

Example 1. Application to KdV-like equation

We take the example of the Korteweg–de Vries-like equations used in Krstic and Smyshlyaev (2008). The system is determined by three coefficients a, γ and ε and the transformation yields the following PIDE (b=aε): tx(z,t)=εzx(z,t)γbsinh(bz)x(0,t)+γb20zcosh(b(zξ))x(ξ,t)dξ.Considering ε=1 and assuming that we want to control PIDE (102) by applying the full state feedback regulator (22). In this example, the parameters are set as a=1, γ=4. The output y(t) to be controlled is in-domain and

Conclusion

The state feedback and output feedback regulator problems are addressed for a class of hyperbolic PIDE systems with Fredholm integrals in this manuscript. By utilizing the backstepping approach, the feedforward gain for the state feedback regulator design and disturbance observer gains are obtained in the backstepping coordinates. In particular, designing the full state feedback regulator accounts for finite-time output regulation and designing the output feedback regulator achieves exponential

Xiaodong Xu received his B.Sc. degree in control engineering and science from Beijing Institute of Technology, Beijing, China in June 2010 and he is currently a Ph.D. candidate who joined in the Department of Chemical and Materials Engineering at University of Alberta, Edmonton, Canada in 2012. His research interests include the internal model control of infinite-dimensional systems, the state estimation and observer design for nonlinear hyperbolic systems, and the optimal control and design of

References (20)

There are more references available in the full text version of this article.

Cited by (50)

  • Output regulation for a first-order hyperbolic PIDE with state and sensor delays

    2022, European Journal of Control
    Citation Excerpt :

    The important aspects of finite-time stability of state feedback regulator is proved in Section 3.3. Follow the technical route of [29], applying the backstepping transformation, the cascade system is mapped into a transitional system coupled with the exo-system. The coupled system is uncoupled via a regulation coordinate change, which results in regulator equations whose solutions are needed in the control gain.

  • A backstepping approach to adaptive error feedback regulator design for one-dimensional linear parabolic PIDEs

    2021, Journal of Mathematical Analysis and Applications
    Citation Excerpt :

    In recent years, some attempts have been made to develop some direct PDE approaches combining with the theoretical foundations of output regulation theory to solve the output regulation problem of PDEs. The backstepping approach for PDEs was first applied to the parabolic system in [4,5] and then the coupled parabolic PIDEs in [7,8], 2×2 hyperbolic PDEs in [6] parabolic PDEs with long time delay in [12], first-order hyperbolic PIDEs in [40], anti-stable coupled wave equations in [13]. A finite dimension robust controller for the unstable parabolic system is designed in [28] to solve the output regulation problem.

  • Robust output regulation of 1-d wave equation

    2021, IFAC Journal of Systems and Control
View all citing articles on Scopus

Xiaodong Xu received his B.Sc. degree in control engineering and science from Beijing Institute of Technology, Beijing, China in June 2010 and he is currently a Ph.D. candidate who joined in the Department of Chemical and Materials Engineering at University of Alberta, Edmonton, Canada in 2012. His research interests include the internal model control of infinite-dimensional systems, the state estimation and observer design for nonlinear hyperbolic systems, and the optimal control and design of renewable energy systems and particle crystallization processes.

Stevan Dubljevic is an Associate Professor at the Department of Chemical and Materials Engineering at the University of Alberta. He received his Ph.D. in 2005 from the Henry Samueli School of Engineering and Applied Science at University of California in Los Angeles (UCLA), M.Sc. degree (2001) from the Texas A&M University (Texas), and the B.Sc. degree (1997) from the Belgrade University (Serbia). He held independent post-doctoral researcher position at the Cardiology Division of the UCLAs David Geffen School of Medicine (2006–2009). He is the recipient of the American Heart Association (AHA) Western States Affiliate Post-doctoral Grant Award (2007–2009) and the recipient of the O. Hugo Schuck Award for Applications, from American Automatic Control Council (AACC) 2007. His research interests include systems engineering, with the emphasis on model predictive control of distributed parameter systems, dynamics and optimization of material and chemical process operations, computational modeling and simulation of biological systems (cardiac electrophysiological systems) and biomedical engineering.

The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Rafael Vazquez under the direction of Editor Miroslav Krstic.

View full text