TY - JOUR
AU1 - Cichy, Blazej
AU2 - Augusta, Petr
AU3 - Galkowski, Krzysztof
AU4 - Rogers, Eric
AB - 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.
TI - Modeling and iterative learning control of spatially distributed parameter systems with sensing and actuation over a selected area of the domain
JF - Multidimensional Systems and Signal Processing
DO - 10.1007/s11045-021-00780-1
DA - 2021-10-01
UR - https://www.deepdyve.com/lp/springer-journals/modeling-and-iterative-learning-control-of-spatially-distributed-GxQDjy7Eot
SP - 1237
EP - 1258
VL - 32
IS - 4
DP - DeepDyve
ER -