Ya-Fu Peng,Chih-Min Lin
Ya-Fu Peng
An adaptive control system, using a recurrent cerebellar model articulation controller (RCMAC) and based on a sliding mode technique, is developed for uncertain nonlinear systems. The proposed dynamic structure of RCMAC has superior capabil...
Spatio-temporal feature-extraction techniques for isolated gesture recognition in Arabic sign language [0.03%]
用于阿拉伯手语孤立手势识别的时空特征提取技术
Tamer Shanableh,Khaled Assaleh,M Al-Rousan
Tamer Shanableh
This paper presents various spatio-temporal feature-extraction techniques with applications to online and offline recognitions of isolated Arabic Sign Language gestures. The temporal features of a video-based gesture are extracted through f...
Chen-Chia Chuang
Chen-Chia Chuang
The problem of the traditional support vector regression (SVR) approach, referred to as the global SVR approach, is the incapability of interpreting local behavior of the estimated models. An approach called the local SVR approach was propo...
Sampled-data fuzzy controller for time-delay nonlinear systems: fuzzy-model-based LMI approach [0.03%]
具时滞非线性系统的采样模糊控制：基于LMI的模糊模型方法
H K Lam,Frank H F Leung
H K Lam
This paper presents the stability analysis and performance design for a sampled-data fuzzy control system with time delay, which is formed by a nonlinear plant with time delay and a sampled-data fuzzy controller connected in a closed loop. ...
Adaptive robust motion/force control of holonomic-constrained nonholonomic mobile manipulators [0.03%]
具有一类非完整移动操作臂的自适应鲁棒力/运动控制
Zhijun Li,Shuzhi Sam Ge,Aiguo Ming
Zhijun Li
In this paper, adaptive robust force/motion control strategies are presented for mobile manipulators under both holonomic and nonholonomic constraints in the presence of uncertainties and disturbances. The proposed control is robust not onl...
Takashi Matsumoto,Kuniaki Yosui
Takashi Matsumoto
Given the sequential data from an unknown target system with changing parameters, the first part of this paper discusses online algorithms that adapt to smooth as well as abrupt changes. This paper examines four different parameter/ hyperpa...
A hybrid quantum-inspired genetic algorithm for multiobjective flow shop scheduling [0.03%]
一种求解流水车间调度问题的量子遗传算法
Bin-Bin Li,Ling Wang
Bin-Bin Li
This paper proposes a hybrid quantum-inspired genetic algorithm (HQGA) for the multiobjective flow shop scheduling problem (FSSP), which is a typical NP-hard combinatorial optimization problem with strong engineering backgrounds. On the one...
Multiobjective optimization and hybrid evolutionary algorithm to solve constrained optimization problems [0.03%]
求解约束优化问题的多目标优化及混合进化算法
Yong Wang,Zixing Cai,Guanqi Guo et al.
Yong Wang et al.
This paper presents a novel evolutionary algorithm (EA) for constrained optimization problems, i.e., the hybrid constrained optimization EA (HCOEA). This algorithm effectively combines multiobjective optimization with global and local searc...
Relaxed stabilization criteria for discrete-time T-S fuzzy control systems based on a switching fuzzy model and piecewise Lyapunov function [0.03%]
基于切换模糊模型和分段Lyapunov函数的离散时间T-S模糊控制系统的松弛稳定准则
Wen-June Wang,Ying-Jen Chen,Chung-Hsun Sun
Wen-June Wang
In this paper, two new relaxed stabilization criteria for discrete-time T-S fuzzy systems are proposed. In the beginning, the operation state space is divided into several subregions, and then, the T-S fuzzy system is transformed to an equi...
Michael Doumpos,Constantin Zopounidis,Vassiliki Golfinopoulou
Michael Doumpos
Support vector machines (SVMs) are one of the most popular methodologies for the design of pattern classification systems with sound theoretical foundations and high generalizing performance. The SVM framework focuses on linear and nonlinea...