Iterative Learning Control for Deterministic Systems is part of the new Advances in Industrial Control series, edited by Professor M.J. Grimble and Dr. M.A. Johnson of the Industrial Control Unit, University of Strathclyde. The material presented in this book addresses the analysis and design of learning control systems. It begins with an introduction to the concept of learning control, including a comprehensive literature review. The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which offers insight into the nature of the solution of the learning control problem. Additionally, several design methods are given for LTI learning control, incorporating a technique based on parameter estimation and a one-step learning control algorithm for finite-horizon problems. Further chapters focus upon learning control for deterministic nonlinear systems, and a time-varying learning controller is presented which can be applied to a class of nonlinear systems, including the models of typical robotic manipulators.The book concludes with the application of artificial neural networks to the learning control problem. Three specific ways to neural nets for this purpose are discussed, including two methods which use backpropagation training and reinforcement learning. The appendices in the book are particularly useful because they serve as a tutorial on artificial neural networks.

This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. It presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty. The book shows how to use robust iterative learning control in the face of model uncertainty.

This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. It presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty. The book shows how to use robust iterative learning control in the face of model uncertainty.

Do you know Jesus? Do you think of him as your friend?

Even though I know many Christians who consider him a friend, I don't. To be honest, when I read the Gospels carefully, he unsettles me-sometimes a lot. So I ask again, do you really know him? Whether believer or skeptic, many people claim they do. But is this Jesus the one we grew up hearing about, our own imagined Jesus, or the one present in the Gospels? In essays that take a fresh look at sixteen familiar stories, Kevin L. Moore seeks to engage his readers so they can reconsider some of their preconceptions about this man from Nazareth and what he expects of us. This sort of re-examination can be unsettling, but it's worth the effort, since all we can ever do is follow from a distance.

In "Can Any Good Come From Nazareth?" New Testament scholar, Dr. Kevin L. Moore, invites us to move past the pages of Scripture and into the three-dimensional world of Jesus where the story began. In this world we understand Jesus in a new light as Moore guides us through some of the most riveting scenes in the Gospels. In writing that is accessible to all, Moore gives his readers an opportunity to reconsider what it means to follow Jesus.
- Timothy F. Merrill, Executive Editor, "Homiletics"

Do you know Jesus? Do you think of him as your friend?

Even though I know many Christians who consider him a friend, I don't. To be honest, when I read the Gospels carefully, he unsettles me-sometimes a lot. So I ask again, do you really know him? Whether believer or skeptic, many people claim they do. But is this Jesus the one we grew up hearing about, our own imagined Jesus, or the one present in the Gospels? In essays that take a fresh look at sixteen familiar stories, Kevin L. Moore seeks to engage his readers so they can reconsider some of their preconceptions about this man from Nazareth and what he expects of us. This sort of re-examination can be unsettling, but it's worth the effort, since all we can ever do is follow from a distance.

In "Can Any Good Come From Nazareth?" New Testament scholar, Dr. Kevin L. Moore, invites us to move past the pages of Scripture and into the three-dimensional world of Jesus where the story began. In this world we understand Jesus in a new light as Moore guides us through some of the most riveting scenes in the Gospels. In writing that is accessible to all, Moore gives his readers an opportunity to reconsider what it means to follow Jesus.
- Timothy F. Merrill, Executive Editor, "Homiletics"