Iterative Learning CONTROL ALGORITHMS AND EXPERIMENTAL BENCHMARKING Iterative Learning Control Algorithms and Experimental Benchmarking Presents key cutting edge research into the use of iterative learning control The book discusses the ...

This book develops a coherent and quite general theoretical approach to algorithm design for iterative learning control based on the use of operator representations and quadratic optimization concepts including the related ideas of inverse ...

The material presented in this book addresses the analysis and design of learning control systems.

The third topic focuses on the development of robustification algorithms for Iterative Learning Control that is analogous to the above two RC robustification designs, extending frequency response concepts to finite time problems.

An exposition of the interplay between the modelling of dynamic systems and the design of feedback controllers based on these models.

Graduate students of intelligent control will also find this volume instructive.

The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations. This book is on the iterative learning control (ILC) with focus on the design and implementation.