In this paper, an effective iterative algorithm is proposed to deal with the optimal control problem of a class of nonlinear discrete-time delay systems. We define a meaningful performance index function to removing t...
详细信息
In this paper, we proposed an architecture of a hierarchical networked urban traffic signal control system Based on Multi-agent. With mobile agent technology, traffic control strategies are designed as traffic control...
详细信息
Face verification is the task of determining by analyzing face images, whether a person is who he/she claims to be. It is a very challenge problem, due to large variations in lighting, background, expression, hairstyl...
详细信息
This paper proposes a functional electrical stimulation (FES)-involved control strategy for self-made exoskeleton lower limb rehabilitation robot for the training purpose of paraplegic patients caused by spinal cord i...
详细信息
In this paper, by employing an online algorithm based on policy iteration (PI), an adaptive optimal control problem for continuous-time (CT) nonlinear partially uncertain dynamic systems is investigated. In this propo...
详细信息
In this paper, the nearly H∞ optimal control solution for discrete-time (DT) constrained input nonlinear systems is considered. First, to deal with the input constraints, a quasi-norm performance index function is in...
详细信息
An aerial work platform (AWP) is a type of off highway vehicle with a long beam to provide temporary access to inaccessible areas [1]. The motivation of the research is to increase its productivity, safety and reduce ...
详细信息
In micro-blogging, people talk about their daily life and change minds freely, thus by mining people's interest in micro-blogging, we will easily perceive the pulse of society. In this paper, we catch what people ...
详细信息
ISBN:
(纸本)9781450312301
In micro-blogging, people talk about their daily life and change minds freely, thus by mining people's interest in micro-blogging, we will easily perceive the pulse of society. In this paper, we catch what people are caring about in their daily life by discovering meaningful communities based on probabilistic factor model (PFM). The proposed solution identifies people's interest from their friendship and content information. Therefore, it reveals the behaviors of people in micro-blogging naturally. Experimental results verify the effectiveness of the proposed model and show people's social life vividly. Copyright is held by the author/owner(s).
Ground-based cloud classification plays an essential role in meteorological research and has received great concern in recent years. In this paper, a novel algorithm named multiple random projections (MRP) is proposed...
详细信息
ISBN:
(纸本)9781467312745;9781467312721
Ground-based cloud classification plays an essential role in meteorological research and has received great concern in recent years. In this paper, a novel algorithm named multiple random projections (MRP) is proposed for ground-based cloud classification. The proposed algorithm uses an ensemble approach of MRP to obtain an optimized textons. Based on the textons, discriminative features can be obtained for classification. A series of experiments on two ground-based cloud databases (Kiel and IapCAS-E) are conducted to evaluate the efficiency of our proposed method. In addition, three current state-of-the-art methods, which include Patch, PCA, single random projection (SRP), are selected for comparison purpose. The experimental results show that our MRP method can achieved the best classification performance.
This paper presents a two-impulse input shaping method using off-line learning method to suppress the residual vibration of a flexible joint robot which is considered as perform repetitive tasks. It has been proved th...
详细信息
ISBN:
(纸本)9781467313988
This paper presents a two-impulse input shaping method using off-line learning method to suppress the residual vibration of a flexible joint robot which is considered as perform repetitive tasks. It has been proved that the two-impulse input shaping method has the ability to suppress time-varying or nonlinear residual vibration. However, the parameters of the input shaper are difficult to select. In this paper, a method based on the off-line learning is presented to determine the proper parameters. We found that the torque of the joint can reflect the residual vibration through analysis of relations between the residual vibration and torque of the flexible joint robot. Thus, the torque signal of the joint is used to measure the vibration magnitude and no additional sensors for vibration measurement are required. For the nonmeasurable of the phase of the residual vibration, only the vibration magnitude is used to update the parameters of the input shaper off-line until the minimum vibration is obtained. The initial parameters of the input shaper also are estimated in this paper. Simulations are conducted to suppress residual vibration of a flexible joint robot, thereby demonstrating the effectiveness of the off-learning learning input shaping method.
暂无评论