Adaptive output-feedback stabilization of non-local hyperbolic PDEs

作者：Bernard Pauline^*; Krstic Miroslav

来源：Automatica, 2014, 50(10): 2692-2699.

DOI：10.1016/j.automatica.2014.09.001

• Distributed parameter systems
• Boundary control
• Hyperbolic systems
• Adaptive control

We address the problem of adaptive output-feedback stabilization of general first-order hyperbolic partial integro-differential equations (PIDE). Such systems are also referred to as PDEs with non-local (in space) terms. We apply control at one boundary, take measurements on the other boundary, and allow the system%26apos;s functional coefficients to be unknown. To deal with the absence of both full-state measurement and parameter knowledge, we introduce a pre-transformation (which happens to be based on backstepping) of the system into an observer canonical form. In that form, the problem of adaptive observer design becomes tractable. Both the parameter estimator and the control law employ only the input and output signals (and their histories over one unit of time). Prior to presenting the adaptive design, we present the non-adaptive/baseline controller, which is novel in its own right and facilitates the understanding of the more complex, adaptive system. The parameter estimator is of the gradient type, based on a parametric model in the form of an integral equation relating delayed values of the input and output. For the closed-loop system we establish boundedness of all signals, pointwise in space and time, and convergence of the POE state to zero pointwise in space. We illustrate our result with a simulation.

• 出版日期2014-10