Sliding-mode and proportional-derivative-type motion control with radial basis function neural network based estimators for wheeled vehicles

An obstacle avoidance problem of rear-steered wheeled vehicles in consideration of the presence of uncertainties is addressed. Modelling errors and additional uncertainties are taken into consideration. Controller designs for driving and steering motors are designed. A proportional-derivative-type driving motor controller and a sliding-mode steering controller combined with radial basis function neural network (RBFNN) based estimators are proposed. The convergence properties of the RBFNN-based estimators are proven by the Stone–Weierstrass theorem. The stability of the proposed control law is proven using Lyapunov stability analysis. The obstacle avoidance strategy utilising the sliding surface adjustment to an existing navigation method is presented. It is concluded that the driving velocity and steering-angle performances of the proposed control system are satisfactory.     

A novel design of 8-bit adder/subtractor by quantum-dot cellular automata

Application of quantum-dot is a promising technology for implementing digital systems at nano-scale. QCA supports the new devices with nanotechnology architecture. This technique works based on electron interactions inside quantum-dots leading to emergence of quantum features and decreasing the problem of future integrated circuits in terms of size. In this paper, we will successfully design, implement and simulate a new full adder based on QCA with the minimum delay, area and complexities. Also, new XOR gates will be presented which are used in 8-bit controllable inverter in QCA. Furthermore, a new 8-bit full adder is designed based on the majority gate in the QCA, with the minimum number of cells and area which combines both designs to implement an 8-bit adder/subtractor in the QCA. This 8-bit adder/subtractor circuit has the minimum delay and complexity. Being potentially pipeline, the QCA technology calculates the maximum operating speed.     

Continuous Self‐Collision Detection for Deformable Surfaces Interacting with Solid Models

In this paper, we propose a new continuous self‐collision detection (CSCD) method for a deformable surface that interacts with a simple solid model. The method is developed based on the radial‐view‐based culling method. Our method is suitable for the deformable surface that has large contact region with the solid model. The deformable surface may consist of small round‐shaped holes. At the pre‐processing stage, the holes of the deformable surface are filled with ghost triangles so as to make the mesh of the deformable surface watertight. An observer primitive (i.e. a point or a line segment) is computed so that it lies inside the solid model. At the runtime stage, the orientations of triangles with respect to the observer primitive are evaluated. The collision status of the deformable surface is then determined. We evaluated our method for several animations including virtual garments. Experimental results show that our method improves the process of CSCD.     

基于矩阵初等变换的量子可逆逻辑电路双向综合算法

基于矩阵初等变换,提出了量子可逆逻辑电路双向综合算法。该算法依据两数字间的汉明距离,通过交换矩阵行号或矩阵元素对量子可逆逻辑电路的矩阵进行初等行变换。在变换的过程中,利用邻接矩阵的电路转化规则,生成任意给定置换的量子可逆逻辑电路。与其它同类算法相比,由于不需要穷尽搜索,该算法的时空复杂度有大幅降低;又由于采用任意n量子扩展通用Toffoli门,该算法可综合任一置换(奇或偶置换)的量子可逆逻辑电路,并且电路中门的数量有所减少。     

MUSIC算法的FPGA实现

针对多重信号分类（MUSIC）算法计算复杂度高,难以实时实现的特点,给出了适用于均匀线阵的实数化预处理算法和实用的空间谱定义,并选择了适合FPGA硬件实现的特征值分解算法,给出了MUSIC算法FPGA实现的整体架构。仿真实验结果表明,该FPGA实现能够完成MUSIC算法的准确、快速计算。     

涂层转移法精密铸造技术在子午线轮胎模具制造中的应用

子午线轮胎模具计算机辅助快速制造系统是由ＣＡＤ技术、快速成型技术、涂层转移法精密铸造技术、材料技术等多项高新技术组合而成的一项独特的先进制造技术。该系统充分利用液态材料成型任意性和高再现性的特点，具有适应性强、重复性好、加工周期短、制造成本低的特点。     

燃气用聚乙烯管件注塑模具浇注系统的研究

依据聚乙烯管件壁厚超常规的特点，提出了聚乙烯管件浇注系统的设计原则；尤其建立了浇口大端尺寸(D)的经验公式，实践证明该式对聚乙烯管件模具浇道系统的设计具有较好的指导作用，据其所制得的浇道系统非常有利于生产效率的提高和外观质量的改善。     

新型高压大功率器件IGCT的建模与仿真

集成门极换向晶闸管(IGCT)是新型电力半导体开关,具有耐压高、电流大、开关频率高、开关损耗低等优越性能,尤其适用于高压大功率电力电子装置.目前通用电路仿真软件中还没有专门的IGCT仿真模型,不能满足可靠的仿真性能的要求.基于电力电子器件的物理现象,建立IGCT模型的方法有:功能模型法、电学模型法、集总电荷模型法和物理模型法等.对上述几种建模方法分别进行了仿真研究后,对比分析各模型开关动作过程和器件内部物理现象,比较它们之间的优缺点,分析出各种模型的适用范围.     

运用硬件提高计算全息运算速度综述

计算全息技术的快速发展使得全息电视、全息电影成为可能.许多研究者正在致力于开发的电子全息三维显示系统的最关键的技术之一就是提高计算全息技术的运算速度.由于计算全息技术所需要的计算量很大,使用一般计算机无法以帧频速率实现全息图的计算,因此研究者们在提高全息图的计算速度方面进行了大量的研究工作.在主要调查研究使用硬件加速的方法来提高全息图计算速度的基础上,论述了其研究现状以及未来的发展动态.