Min Wu

This paper presents a framework for mobile transparent computing. It extends the PC transparent computing to mobile terminals. Since resources contain different kinds of operating systems and user data that are stored in a remote server, how to manage the network resources is essential. In this paper, we apply the technologies of quick emulator (QEMU) virtualization and mobile agent for mobile transparent computing (MTC) to devise a method of managing shared resources and services management (SRSM). It has three layers: a user layer, a manage layer, and a resource layer. A mobile virtual terminal in the user layer and virtual resource management in the manage layer cooperate to maintain the SRSM function accurately according to the user’s requirements. An example of SRSM is used to validate this method. Experiment results show that the strategy is effective and stable.

Electric carts are used by many elderly people living in Japan. To guarantee driving safety under any road and weather conditions, it is very important to obtain the information needed to control the torque of the cart in a real-time fashion. A key item of information is an estimate of the normalized longitudinal force (NLF). This paper presents a method for estimating the NLF based on the equivalent-input-disturbance approach. It uses two estimators: One estimates the inverse of the equivalent inertial of a one-wheel model, and the other uses that value to estimate the NLF. Although the method is very simple, it produces a precise estimate. Simulations have demonstrated the validity of the method.

With regard to the difficulty in detecting the burden surface temperature of blast furnace (BF), an online detection system based on multi-source information fusion is put forward in this paper. Firstly, a method for estimating the temperature of burden surface based on heterogeneous single information is proposed. Then an approach of multi-source information fusion based on reliability theory and Kalman Filter is presented. Lastly, the system implementation and industrial application is introduced. The result from a 2200 m(3) BF indicates that this system can directly and accurately reflect the real-time state of burden surface temperature distribution. This paper provides an effective solution to control and monitor the process of complicated metallurgy.

SUMMARY: An underactuated three‐link gymnast robot (UTGR) is a simple model of a gymnast on a high bar. The control objective of a UTGR is to swing it up from a point near the straight‐down position and to stabilize it at the straight‐up position. To achieve this, we first divide the motion space into two subspaces, swing‐up area and balancing area, and design a controller for each. The design of a swing‐up control law that ensures that the UTGR enters the balancing area is crucial because the UTGR is subject to a nonholonomic constraint and is highly nonlinear during the swing‐up motion. This study focused on how to design a swing‐up control law that contains no singularities. The key concept is the introduction of a virtual coupling between control torques, which converts the problem of avoiding singularities to one of imposing constraints on the parameters of the control law and properly selecting those parameters. A swing‐up control law thus designed ensures that the UTGR enters the balancing area in a natural stretched‐out posture. This makes it easy to stabilize the UTGR in the balancing area. Copyright © 2013 John Wiley & Sons, Ltd.

A classical deterministic SIR model is modified to take into account of limited resources for diagnostic confirmation/medical isolation. We show that this modification leads to four different scenarios (instead of three scenarios in comparison with the SIR model) for optimal isolation strategies, and obtain analytic solutions for the optimal control problem that minimize the outbreak size under the assumption of limited resources for isolation. These solutions and their corresponding optimal control policies are derived explicitly in terms of initial conditions, model parameters and resources for isolation (such as the number of intensive care units). With sufficient resources, the optimal control strategy is the normal Bang-Bang control. However, with limited resources the optimal control strategy requires to switch to time-variant isolation at an optimal rate proportional to the ratio of isolated cases over the entire infected population once the maximum capacity is reached.

A robust disturbance rejection method for uncertain systems is presented in this study. It effectively rejects both matched and unmatched disturbances and guarantees robust stability of the system when there exist modelling uncertainties. First, the authors show the configuration of the system that is based on the idea of the equivalent input disturbance (EID). An EID estimator is designed to compensate disturbances without requiring their prior knowledge. Then, a robust stability condition and the method of the controller design are presented using a linear‐matrix‐inequality. Finally, the validity of the authors method and its superiority over a conventional control method and the sliding‐mode control method are demonstrated through the simulations of a numerical example and experiments of a rotational‐speed control system.