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Artificial Neural network (ANN) has been widely used in solving complex real world problems. It is commonly known as a black-box approach in the sense that examples (input and output pairs) are learned in the process of establishing an ANN model. However, there is a long debate in literature on whether ANN is a white-box or a black-box approach. In this article, we take a more conceptual view towards...
In this paper, two control strategies are developed to control the piezoelectric inertia-friction actuator (PIFA) systems with a great attention to counter for the thermal effect. The first strategy is to use two controllers: one is the main controller (used to control the actuation) and the other is the auxiliary controller to adjust the contact pressure (used to compensate the thermal effect). The...
Disruptions at any stage of a supply chain system can cause mammoth operational and financial losses to a firm. When there is a disruption with a supply chain system, it is highly desired that the system quickly recover. The ability of recovery is, in short, called resilience. This paper proposes a new measure of the resilience of a supply chain system based on the concept of survival and, subsequently,...
In this paper, a new position domain PD control is proposed focusing on improving contour tracking performance of robotic systems. First, a robotic system is treated as a master-slave system where the master motion is used as an independent reference through equidistantly sampling, while the slave motion is described as a function of the master motion according to contour trajectory requirements....
Reconstruction of a biological system from its experimental time series data is a challenging task in systems biology. The S-system which consists of a group of nonlinear ordinary differential equations is an effective model to characterize molecular biological systems and analyze the system dynamics. However, inference of S-systems without the knowledge of system structure is not a trivial task due...
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