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- W3168675071 abstract "This paper gives new contributions to the development of iterative learning control for distributed parameter systems, based on using finite difference schemes to construct a finite-dimensional approximate model of the dynamics for control law design. To form a basis for the new results, systems whose dynamics are described by a fourth-order partial differential equation are considered together with the associated accuracy and numerical stability checks. Some previous control law designs use only a spatial variable as the control input, which can be a serious obstacle to practical implementation since many actuators and sensors must be deployed. This paper’s new design is based on spatially homogeneous sensing and excitation over a selected sub-area of the domain considered. Supporting numerical case studies are given to support the analysis." @default.
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- W3168675071 date "2021-05-31" @default.
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- W3168675071 title "Modeling and iterative learning control of spatially distributed parameter systems with sensing and actuation over a selected area of the domain" @default.
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- W3168675071 doi "https://doi.org/10.1007/s11045-021-00780-1" @default.
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