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- Kevin L. Moore
- 2006

In this paper we give an overview of the eld of iterative learning control ILC We begin with a detailed description of the ILC technique followed by two illustrative examples that give a avor of the nature of ILC algorithms and their performance This is followed by a top ical classi cation of some of the literature of ILC and a discussion of the connection… (More)

- Hyo-Sung Ahn, Yangquan Chen, Kevin L. Moore
- IEEE Trans. Systems, Man, and Cybernetics, Part C
- 2007

In this paper, the iterative learning control (ILC) literature published between 1998 and 2004 is categorized and discussed, extending the earlier reviews presented by two of the authors. The papers includes a general introduction to ILC and a technical description of the methodology. The selected results are reviewed, and the ILC literature is categorized… (More)

- Yang Chen, Kevin L. Moore
- 2001

For fractional-order differentiator where is a real number, its discretization is a key step in digital implementation. Two discretization methods are presented. The first scheme is a direct recursive discretization of the Tustin operator. The second one is a direct discretization method using the Al-Alaoui operator via continued fraction expansion (CFE).… (More)

In this paper we study th-order 3 consensus algorithms, which generalize the existing first-order and second-order consensus algorithms in the literature. We show necessary and sufficient conditions under which each information variable and its higherorder derivatives converge to common values. We also present the idea of higher-order consensus with a… (More)

- Yangquan Chen, Kevin L. Moore
- IEEE Trans. Systems, Man, and Cybernetics, Part B
- 2005

A new tuning method for proportional-integral-derivative (PID) controller design is proposed for a class of unknown, stable, and minimum phase plants. We are able to design a PID controller to ensure that the phase Bode plot is flat, i.e., the phase derivative w.r.t. the frequency is zero, at a given frequency called the "tangent frequency" so that the… (More)

- Kevin L. Moore, Mohammed Dahleh, S. P. Bhattacharyya
- J. Field Robotics
- 1992

- Yangquan Chen, Kevin L. Moore
- Automatica
- 2002

Title: Two direct Tustin discretization methods for 0 1 1 4 0 6 1.50

- George C. Kagadis, Christos Kloukinas, +6 authors William R. Hendee
- Medical physics
- 2013

Over the past century technology has played a decisive role in defining, driving, and reinventing procedures, devices, and pharmaceuticals in healthcare. Cloud computing has been introduced only recently but is already one of the major topics of discussion in research and clinical settings. The provision of extensive, easily accessible, and reconfigurable… (More)

- Yangquan Chen, Kevin L. Moore, Vikas Bahl
- IEEE Transactions on Neural Networks
- 2004

This paper presents a frequency-domain analysis and design approach for a learning feedforward controller (LFFC) using a dilated B-spline network. The LFFC acts as an add-on element to the existing feedback controller (FBC). The LFFC signal is updated iteratively based on the FBC signal of the previous iteration as the task repeats. Similar to… (More)

- Hyo-Sung Ahn, Kevin L. Moore, Yangquan Chen
- Proceedings of the 2005 IEEE International…
- 2005

This paper presents the design of a robust iterative learning controller for the case of a plant with interval model uncertainty in the "A-matrix" of its state space description. First order perturbation theory is utilized to find bounds on the eigenvalues and eigenvectors of the powers of A when A is an interval matrix. These bounds are then used for… (More)