智能炮弹姿态测量新方法

研究炮弹姿态制导和测量问题,智能炮弹的制导与控制,不但要求能精确测量弹体的姿态,还要求惯性敏感元件和电子系统能承受发射时的高g冲击.针对智能炮弹发射时的高冲击性及惯性短时飞行的特点,为了姿态控制稳定性,提出了一种弹体姿态测量的新方法.根据智能炮弹的特定运动规律,仅采用三个MEMS加速度计对比力矢量进行测量,建立系统的线性状态方程和非线性量测方程,采用平方根无轨迹Kalman滤波器估计系统的状态,有效的抑制了滤波发散,增强了滤波的稳定性.经三轴飞行测试转台仿真实验表明,方法测量弹体姿态的可行性.     

大气扰动下无人机输出反馈控制律设计及仿真

针对无人机在飞行过程中容易受到大气环境干扰的问题,干扰主要来自外部扰动,主要研究了大气紊流对无人机飞行过程的影响,建立了基于Dryden模型的纵向小扰动线性运动方程.为抑制大气紊流对无人机运动的干扰,保证飞行过程中飞机的稳定性,应用输出反馈H∞控制算法设计了干扰抑制控制器进行仿真.仿真结果表明,采用的控制方法能够有效的抑制大气紊流对无人机运动的干扰,使飞控系统具有良好的稳定性和鲁棒性.     

多焦视网膜电图非线性成分的提取

研究关于多焦视网膜电图（mfERG）检测,可以在相对较短的时间内连续记录测试多个局部视网膜电生理响应信号的波形,有着重要的临床应用价值,其中非线性成分在反映视网膜功能分析上有较强的潜力。通过mfERG的分离算法,对多焦电信号进行分离,得到局部的反应信号,并利用高阶的规律和提取规则,构建模型对视网膜局部电信号中的各阶非线性成分进行分离提取。通过仿真实验有效地得到了视网膜电图的局部信号及其中的非线性成分。算法简单快速,实践中易于实现。在所得结果基础上,可以分析一阶与二阶之间的相互关系,为以后研究高阶间的相互关系提供基础。     

SS诊断策略在非线性电路中的应用研究

研究模拟电路故障诊断问题,非线性一直是制约模拟电路故障诊断技术发展的关键问题之一.传统故障诊断中,灵敏度序列(Sensitivity Sequence,SS)诊断策略集中在线性电路的故障诊断,但是对于非线性电路的故障诊断,仍缺乏相关研究.为此对非线性电路中应用SS诊断策略进行了研究,从分析非线性元件参数特性出发,引入分段线性迭代的方法构建元件的线性模型,采用戴维宁和诺顿定理进行模型的等效替换;分段进行测前仿真,构造故障字典.理论推导以及试验结果证明,采用分段线性迭代方法构建非线性元件的分析模型,避免了在诊断过程中求解繁复的非线性代数方程或非线性微分方程,为在非线性电路应用SS诊断策略提供了有效的分析模型;借助工作域以及对带有容差的一般情况的分析和研究,进一步完善了非线性电路中SS诊断策略的应用;所提的方法,能够快速准确地提取非线性电路故障的灵敏度特征,提高故障识别和隔离的效率.     

电子节气门模糊自适应调节滑模控制及仿真

电子节气门控制系统具有强非线性时变特性,需采用非线性控制方法进行控制,其中滑模控制应用比较普遍,但系统在切换状态时容易出现抖振现象,不利于系统的精确控制。为改善性能,采用模糊自适应调节滑模控制方法,用模糊逻辑系统来代替传统滑模控制中的指数趋近率系数,从而达到消除滑模控制抖振现象。根据系统数学模型设计了模糊自适应调节滑模控制器,通过在Matlab中进行仿真。仿真结果表明:模糊自适应调节滑模控制能有效解决系统存在的非线性问题,消除滑模控制中出现的抖振,满足系统精确控制的要求。     

基于T-S模糊神经网络的涡扇发动机加速控制

航空发动机足一个结构复杂的非线性强多变量控制对象。随着航空发动机全权限数字式电子控制器的研制和应用,发动机加速性能要求的不断提高,对发动机加强智能控制技术的应用是必然的趋势。因此将智能控制引入到航空发动机控制系统中,根据模糊控制与神经网络结合的思想,针对涡扇发动机加速控制中的最优控制问题,提出了基于T—S（Tagaki—Sugeno）模型的模糊神经网络的发动机加速控制,并对控制系统的结构、网络结构进行仿真实现。仿真结果表明方法在满足发动机加速控制中各约束条件的前提下,不喘振、不超温、使发动机加速过程安全稳定,且加速时间短。     

PRODUCTS流行方程——MH03不只是好听乐味耳机

乐味（LAVIE）是知名企业三诺旗下新成立的耳机专属品牌,它所推出的产品在价格亲民的同时也保持着出色的听感。更可贵的是,乐味耳机在声音之外还做得更多,例如刚刚上市的MHO3就是这样一款充满特色的产品.     

The generalization of a class of impulse stochastic control models of a geometric Brownian motion

Recently, international academic circles advanced a class of new stochastic control models of a geometric Brownian motion which is an important kind of impulse control models whose cost structure is different from the others before, and it has a broad applying background and important theoretical significance in financial control and management of investment. This paper generalizes substantially the above stochastic control models under quite extensive conditions and describes the models more exactly under more normal theoretical system of stochastic process. By establishing a set of proper variational equations and proving the existence of its solution, and applying the means of stochastic analysis, this paper proves that the generalized stochastic control models have optimal controls. Meanwhile, we also analyze the structure of optimal controls carefully. Besides, we study the solution function of variational equations in a relatively deep-going way, which constitutes the value function of control models to some extent. Because the analysis methods of this paper are greatly different from those of original reference, this paper possesses considerable originality to some extent. In addition, this paper gives the strict proof to the part of original reference which is not fairly well-knit in analyses, and makes analyses and discussions of the model have the exactitude of mathematical sense. Supported by the National Natural Science Foundation of China (Grant No. 19671004)     

Output regulation for a class of uncertain nonlinear systems with nonlinear exosystems and its application

In this paper, we consider the global robust output regulation problem for a class of uncertain nonlinear systems with nonlinear exosystems. By employing the internal model approach, we show that this problem boils down to a global robust stabilization problem of a time-varying nonlinear system in lower triangular form, the solution of which will lead to the solution of the global robust output regulation problem. An example shows the effectiveness of the proposed approach.     

Stability and control of nonlinear systems described by retarded functional equations: a review of recent results

This paper reports on recent results in a series of the work of the authors on the stability and nonlinear control for general dynamical systems described by retarded functional differential and difference equations. Both internal and external stability properties are studied. The corresponding Lyapunov and Razuminkhin characterizations for input-to-state and input-to-output stabilities are proposed. Necessary and sufficient Lyapunov-like conditions are derived for robust nonlinear stabilization. In particular, an explicit controller design procedure is developed for a new class of nonlinear time-delay systems. Lastly, sufficient assumptions, including a small-gain condition, are presented for guaranteeing the input-to-output stability of coupled systems comprised of retarded functional differential and difference equations.