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- W4316013362 abstract "This chapter covers the Newton method that lends itself to iterative learning control (ILC) design in an algebraic setting and permits a direct extension of the lifting approach from linear to nonlinear dynamics. The Newton method is a longstanding technique in numerical analysis. As the chapter demonstrates, it is possible to formulate some nonlinear ILC design problems as a Newton iteration and used well-established results from this area of numerical analysis to develop efficient and reliable solutions. The Newton ILC law is a special case of the Newton method and, hence, it inherits the convergence properties of this method. The need for constrained ILC design is motivated by application areas. The chapter provides a Newton ILC design in the presence of input constraints, based on a penalty function and an iterative method for solving an unconstrained nonlinear optimization problem." @default.
- W4316013362 created "2023-01-14" @default.
- W4316013362 date "2023-01-13" @default.
- W4316013362 modified "2023-10-12" @default.
- W4316013362 title "Newton Method Based ILC" @default.
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- W4316013362 doi "https://doi.org/10.1002/9781118535349.ch11" @default.
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