This paper presents a technique that can be used in designing an equivalent PI controller to different classes of the known Iterative Learning Control (ILC) namely P-type and high order ILCs. The equivalent PI controller can be explicitly represented in the z domain in contrast to the time domain based ILC, which gives another potential for stability analysis. Moreover, the derived PI controlle...

Invasive lobular breast cancer (ILC) is an understudied malignancy with distinct clinical, pathological, and molecular features that distinguish it from the more common invasive ductal carcinoma (IDC). Mounting evidence suggests that estrogen receptor-alpha positive (ER+) ILC has a poor response to Tamoxifen (TAM), but the mechanistic drivers of this are undefined. In the current work, we compr...

In this paper, a real-time iterative learning control (ILC) approach for a nonlinear continuous-time system using recurrent neural networks (RNN’s) with time-varying weights is presented. Two RNN’s are utilized in the ILC system. One is used to approximate the nonlinear system and another is used to mimic the desired system response. The ILC rule is obtained by combining the two RNN’s to form a...

This paper is concerned with the problem of fuzzy iterative learning control for two-dimensional (2-D) state systems described by the Fornasini and Marchesini (FM) second state-space model. This paper gives iterative learning control (ILC) techniques, used to improve tracking control performance in 2-D processes. The fundamental concepts of the various ILC algorithms are presented, with a parti...

This paper discusses the problem of squatting training of stroke patients. The main idea is to correct the patient's training trajectory through an iterative learning control (ILC) method. To obtain better rehabilitation effect, a patient will typically be required to practice a reference posture for many times, while most of active training methods can hardly keep the patients training with co...

We study the Internal Linear Combination (ILC) method presented by the Wilkinson Microwave Anisotropy Probe (WMAP) science team, with the goal of determining whether it may be used for cosmological purposes, as a template-free alternative to existing foreground correction methods. We conclude that the method does have the potential to do just that, but great care must be taken both in implement...

In many research laboratories, Iterative Learning Control (ILC) has proven itself to be a very effective technique to reduce repetitive control errors that occur in systems that continually perform the same motion or operation. Based on errors from previous operations, the technique iteratively constructs a feedforward signal, with which extremely small tracking errors are obtained [4, 51-Howev...

Invasive lobular carcinoma (ILC) is the second most common kind of breast cancer. Diffusion weighted imaging (DWI) and positron emission tomography/computed tomography (PET/CT) are functional modalities for presenting the biological characteristics of breast cancer. The purpose of this article is to study the relationship between DWI or PET/CT and ILC's prognostic factors. The relationship betw...

This paper proposes a data-driven Iterative Reference Input Tuning (IRIT) algorithm that solves a reference trajectory tracking problem viewed as an optimization problem subjected to control signal saturation constraints and to control signal rate constraints. The IRIT algorithm incorporates an experiment-based stochastic search algorithm formulated in an Iterative Learning Control (ILC) framew...

Pneumatic muscles actuator (PMA) is widely used in the field of rehabilitation robot for its good flexibility, light weight and high power/mass ratio as compared to traditional actuator. In this paper, a fuzzy logic-based PD-type iterative learning controller (ILC) is proposed to control the PMA to track a predefined trajectory more precisely during repetitive movements. In order to optimize th...