Human hand is crucial to the activity of daily living. To improve amputees' quality of life (QOL), it is imperative to propose a new method for the prosthesis hand to recognize hand motions. According to previous ...
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ISBN:
(纸本)9781467396769
Human hand is crucial to the activity of daily living. To improve amputees' quality of life (QOL), it is imperative to propose a new method for the prosthesis hand to recognize hand motions. According to previous researches, multi-sensor can obtain more information with limited sensors for improving the classification accuracy rate. Therefore, this paper proposed a hierarchical hand motions recognition method based on one inertial measurement unit (IMU) sensor and two surface electromyography (sEMG) sensors. We dealt with two types of signals separately to classified six predefined hand motions in a hierarchical structure. The method utilized SVM classifier for EMG signals and a decision-tree classifier for IMU signals. To verify the feasibility of the hierarchical hand motion recognition method, ten subjects were asked to join the experiment. And experimental results show that proposed method is stable and the overall average accuracy rate is 95.6% The combination of sEMG and IMU signals can be used for prosthetic user interface applications.
This paper studies consensus control for multi-input/multi-output(MIMO)discrete-time multi-agent systems(MASs).It makes use of the novel idea of resource allocation in designing both the communication graph and feedba...
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This paper studies consensus control for multi-input/multi-output(MIMO)discrete-time multi-agent systems(MASs).It makes use of the novel idea of resource allocation in designing both the communication graph and feedback *** weakest consensusability condition is obtained for MASs over both directed and undirected graphs,which extends the existing results to MIMO discrete-time *** synthesis procedures are also *** work demonstrates the importance of the graph and controller co-design based on resource allocation for MIMO discrete-time MASs.
We present a novel algorithm for reducing the state dimension, i.e., order, of linear parameter varying (LPV) discrete-time state-space (SS) models with affine dependence on the scheduling variable. The input-output b...
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ISBN:
(纸本)9781479978878
We present a novel algorithm for reducing the state dimension, i.e., order, of linear parameter varying (LPV) discrete-time state-space (SS) models with affine dependence on the scheduling variable. The input-output behavior of the reduced order model approximates that of the original model. In fact, for input and scheduling sequences of a certain length, the input-output behaviors of the reduced and original model coincide. The proposed method can also be interpreted as a reachability and observability reduction (minimization) procedure for LPV-SS representations with affine dependence.
In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain *** the group consensus...
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In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain *** the group consensus problem,the agents asymptotically reach several different states rather than one consistent state.A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus *** is shown that the group consensus is reachable even when the system contains the uncertain ***,the multi-group consensus is discussed as an extension of the couple-group consensus,and then the group consensus with switching topology is *** results are finally provided to validate the effectiveness of the theoretical analysis.
The paper deals with voice recognition systems. A new finite element signal processing method is obtained. Each input signal is processed by a particular frequency. Most authors analyse the cepstral coefficients in th...
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This paper studies the containment and group dispersion control for a multi-robot system in the presence of dynamic leaders. Each robot is represented by a doubleintegrator dynamic model and a distributed control algo...
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This paper studies the containment and group dispersion control for a multi-robot system in the presence of dynamic leaders. Each robot is represented by a doubleintegrator dynamic model and a distributed control algorithm is developed to drive the multi-robot system to follow a group of dynamic leaders with containment and group dispersion behaviors. The effectiveness of the algorithm is then verified on a multi-robot control platform.
Traditional anti-windup compensators are designed for activation immediately at the occurrence of actuator ***,anti-windup compensators were designed for actuation either after the saturation has reached a certain lev...
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Traditional anti-windup compensators are designed for activation immediately at the occurrence of actuator ***,anti-windup compensators were designed for actuation either after the saturation has reached a certain level or in anticipation of its *** the case of static anti-windup compensators,it has been shown that an anti-windup compensator designed for activation in anticipation of actuator saturation would lead to better performance than those designed for immediate or delayed activation could,both in terms of transient performance and the size of the domain of *** recently,it has been shown that a dynamic anti-windup compensator designed for anticipatory activation would also result in better transient performance than those designed for immediate or delayed activation *** this paper,we design dynamic anti-windup compensators for the enlargement of the domain of *** compensators are designed respectively for immediate,delayed and anticipatory *** will show by simulation that a dynamic anti-windup compensator designed for anticipatory activation would result in a larger domain of attraction than a dynamic anti-windup compensator designed for immediate or delayed activation could.
This paper mainly discusses the remote tracking problem with partly quantized information and packet-dropout. Since the network exists between the remote plant and the local plant, any information transmitted between ...
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ISBN:
(纸本)9781479947249
This paper mainly discusses the remote tracking problem with partly quantized information and packet-dropout. Since the network exists between the remote plant and the local plant, any information transmitted between each other will experience the quantization errors and may be lost. In this situation, the controller of the local system needs to consider both the exact local information and the inaccurate remote information. A state feedback controller is adopted and the theorems to design such controller are given in terms of bilinear matrix inequalities(BMIs). Moreover, an algorithm is proposed and these BMIs are converted into a convex optimization problem. Finally, the efficiency of the proposed method is demonstrated by a simulation example.
Furnace exit gas temperature(FEGT) is the key parameter in the furnace ash fouling monitoring system. Since the standard least squares support vector machine(LSSVM) is not suitable for online identification and contro...
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ISBN:
(纸本)9781479947249
Furnace exit gas temperature(FEGT) is the key parameter in the furnace ash fouling monitoring system. Since the standard least squares support vector machine(LSSVM) is not suitable for online identification and control of FEGT,a novel CM-LSSVM-PLS method is proposed to predict FEGT in this paper. In the process of CM-LSSVM-PLS method, c-means cluster(CM) algorithm is used to partition the training data into several different subsets by considering the characteristics of operational data. Submodels are subsequently developed in the individual subsets based on LSSVM method. Partial least squares algorithm(PLS) is employed as the combination strategy. The online updating algorithm is then applied to the CM-LSSVM-PLS model. The proposed online model is verified through operation data of a 300 MW generating unit. The simulation results show that the proposed online updating model is effective for online FEGT forecasting.
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