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- W4316021706 abstract "In some practical applications, constraints will arise due to physical limitations, e.g. actuator limits, or performance requirements, e.g. limitations on the performance along the trials. Hence, there is a need to extend iterative learning control (ILC) designs to include constraints. This chapter explains a new method of ILC law design with input saturation for discrete linear time-invariant systems. It describes linear time-varying systems based on successive projection methods, with analysis and design. In the presence of saturation, the ILC dynamics are nonlinear, and there has been recent work on developing a stability theory for nonlinear repetitive processes. The chapter explores hard input constraints for single-input single-output systems, but the extension to multiple-input multiple-output systems and state and output constraints follow by routine changes in the analysis. Overall, constrained ILC is relatively less developed than other areas but is of obvious applications interest." @default.
- W4316021706 created "2023-01-14" @default.
- W4316021706 date "2023-01-13" @default.
- W4316021706 modified "2023-10-12" @default.
- W4316021706 title "Constrained ILC Design" @default.
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- W4316021706 doi "https://doi.org/10.1002/9781118535349.ch8" @default.
- W4316021706 hasPublicationYear "2023" @default.
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