This paper presents a simple second-order controller that damps the resonance typical of piezoelectric nanopositioners and delivers good tracking performance. This method employs the Integral Resonant control scheme (...
详细信息
ISBN:
(纸本)9781617389870
This paper presents a simple second-order controller that damps the resonance typical of piezoelectric nanopositioners and delivers good tracking performance. This method employs the Integral Resonant control scheme (IRC) for damping the dominant resonant mode of the piezoelectric nanopositioner and uses an integral controller to achieve tracking performance. As disturbance rejection is a main concern in nanopositioning applications, the control scheme is tested for its disturbance rejection performance. It is seen that the control scheme has good disturbance rejection characteristics deeming it suitable for nanopositioning applications. To test the tracking performance, the system is made to track a 20 Hz triangular input at various integral gains. It is shown that improved tracking performance can be achieved at high gains with only a slight degradation in disturbance rejection performance at high frequencies.
The aim of this research is to minimize the energy dissipation of embedded controllers without jeopardizing the Quality of control (QoC). Taking advantage of the Dynamic Voltage Scaling (DVS) technology, this study de...
详细信息
The paper presents a model of cerebellum with long-loop force feedback and gains scheduling so as to demonstrate the control of human upright balance. The model consists mostly of two parts, i.e. cerebrum and cerebell...
详细信息
The paper presents a model of cerebellum with long-loop force feedback and gains scheduling so as to demonstrate the control of human upright balance. The model consists mostly of two parts, i.e. cerebrum and cerebellum. The cerebellar component of the controller is represented by two sets of gains that provide linear scaling of same-joint and interjoint long-loop stretch responses between ankle, knee and kip. Whereas the cerebral component of the model composes a single set of same-joint liner force feedback gains. The paper, however, proposes that the cerebellum switches control gain sets as a function of sensing human body kinematics state. By means of simulation, the model illustrates that stabilized hybrid long-loop feedback with scheduling of linear gains may afford realistic balance control in the absence of explicit internal dynamics models and suggests that the cerebellum and cerebral cortex may contribute to the balance control via such mechanism.
Under limited channel capacity condition, this study investigates a combined source and channel coding algorithm providing a uniform video transmission rate to achieve better system performance in wireless MIMO system...
详细信息
Under limited channel capacity condition, this study investigates a combined source and channel coding algorithm providing a uniform video transmission rate to achieve better system performance in wireless MIMO systems. In the proposed algorithm, we applied MPEG2 video source coding scheme with convolutional channel coding as well as space-time block coding techniques, associated with BPSK/QPSK modulation method, to improve video transmission performance. The proposed algorithm assigned rates to MPEG2 source code and convolutional channel code, combined with space-time block coding schemes based upon the feedback information from performance control unit (PCU) under channel capacity limitation, which ensures the given system can achieve better performance compared to a conventional system.
This paper addresses an important and classic scheduling problem, the static scheduling of dependent tasks in homogeneous environment. It is NP hard even when the resources are unbounded, and finds many applications i...
详细信息
This paper addresses an important and classic scheduling problem, the static scheduling of dependent tasks in homogeneous environment. It is NP hard even when the resources are unbounded, and finds many applications in the parallel and distributed computation area. Dependent tasks are usually denoted by Directed Acyclic Graph (DAG), and solving heuristics are commonly categorized to priority list based, cluster based and task duplication based schemes. Task-duplication-based (TDB) algorithms are of better performance than non-duplication ones. A new TDB clustering and scheduling algorithm, called the dynamic critical predecessor (DCP) algorithm, is proposed in this paper. DCP algorithm defines a new selective strategy for important ancestors to be duplicated. The primary aim is to get the shortest schedule length, and the next is to utilize as less resources as possible. Based on an improved definition of granularity, DCP algorithm achieves a better performance guarantee for arbitrary DAG than relative works reported in the literature. Experimental results on several benchmarks show that DCP algorithm is quite effective and it exceeds other classic TDB algorithms. Especially for the classic EZ benchmark, DCP algorithm gets an optimal solution with 8 makespan, which is better than the optimal result taken for before with 8.5 makespan. Complement graph of a DAG is defined, and a similar algorithm is developed to produce a 2-optimal schedule for tree graph if task duplication is not allowed for the tasks.
This paper is concerned with the design problem of robust H infin reliable controller for nonlinear singular stochastic systems with actuator failures via a fuzzy-control approach. The Takagi-Sugeno (T-S) fuzzy model...
详细信息
This paper is concerned with the design problem of robust H infin reliable controller for nonlinear singular stochastic systems with actuator failures via a fuzzy-control approach. The Takagi-Sugeno (T-S) fuzzy model is employed to represent a nonlinear singular stochastic system with norm-bounded parameter uncertainties. The objective is to design a state feedback fuzzy controller such that, for all admissible uncertainties as well as normal and different actuator failure cases, the resulting closed-loop system is robustly stochastically stable while satisfying a prescribed performance constraint. Based on linear matrix inequality (LMI) techniques, stochastic Lyapunov function method is adopted to establish sufficient conditions of existence and design method of robust H infin reliable fuzzy controller in terms of stability theory for stochastic differential equations. Finally, a numerical simulation is given to illustrate the effectiveness of the proposed method.
This paper deals with the design problem of robust reliable controller for nonlinear singular stochastic systems. The Takagi-Sugeno (T-S) fuzzy model is employed to represent a nonlinear singular stochastic system wit...
详细信息
This paper deals with the design problem of robust reliable controller for nonlinear singular stochastic systems. The Takagi-Sugeno (T-S) fuzzy model is employed to represent a nonlinear singular stochastic system with norm-bounded parameter uncertainties and time-delay. Based on linear matrix inequality (LMI) techniques and stability theory of stochastic differential equations, stochastic Lyapunov function method is adopted to design a state feedback fuzzy controller. The resulting closed-loop fuzzy system is robustly reliable stochastically stable for all admissible uncertainties as well as different actuator fault cases. A sufficient condition of existence and design method of robust reliable controller is presented. Finally, a numerical simulation is given to illustrate the effectiveness of the proposed method.
We introduce a method for modeling cancer diagnosis at the molecular level using a Chinese microarray gastric cancer dataset. The method combines an artificial neural network with a decision tree that is intended to p...
详细信息
We introduce a method for modeling cancer diagnosis at the molecular level using a Chinese microarray gastric cancer dataset. The method combines an artificial neural network with a decision tree that is intended to precede standard techniques, such as classification, and enhance their performance and ability to detect cancer genes. First, we used the relief algorithm to select the featured genes that could unravel cancer characteristics out of high dimensional data. Then, an artificial neural network was employed to find the biomarker subsets with the best classification performance for distinguishing cancerous tissues and their counterparts. Next a decision tree expression was used to extract rules subsets from these biomarker sets. Rules induced from the best performance decision tree, in which the branches denote the level of gene expression, were interpreted as a diagnostic model by using previous biological knowledge. Finally, we obtained a gastric cancer diagnosis model for Chinese patients. The results show that using the Chinese gastric biomarker genes with the diagnostic model provides more instruction in biological experiments and clinical diagnosis reference than previous methods.
This paper describes a Windows CE-based intelligent system that integrates control and monitoring in one platform. The overall structure of the system is given and some techniques used inside the customization and tra...
This paper describes a Windows CE-based intelligent system that integrates control and monitoring in one platform. The overall structure of the system is given and some techniques used inside the customization and transplantation of the Windows CE OS are introduced as well. These key techniques include development and transplantation of device drivers in Windows CE, the realization of preserving registry data when power off, the key points of building a special-purpose OS, and the realization of the bootloader. We have designed a temperature control and monitoring system for a heat furnace based on this embedded platform, and the results demonstrate the benefits of using this control solution.
Recently, various capsule endoscope systems have been developed, and it is possible measure various bio signal from the human to diagnosis a disease. There have been numerous studies of the myoelectric activity in a s...
详细信息
Recently, various capsule endoscope systems have been developed, and it is possible measure various bio signal from the human to diagnosis a disease. There have been numerous studies of the myoelectric activity in a stomach, but only a few studies of the small intestines, because, there was no way to measure the signal by non-invasive method. Therefore, it is necessary to research myoelectric measurable telemetry capsule. In this paper, main focuses are implement swallowable telemetry capsule, and enough working time for future clinical experiments. The capsule use dynamic range expansion technique to reduce size of the amplifier, and reduce average power consumption as 3.6 mW; therefore, the capsule can use small batteries, that could be implemented as swallowable size. The capsule is verified by in-vitro experiment, and it amplifies the signal properly.
暂无评论