Adaptive output feedback tracking control of stochastic nonlinear systems with dynamic uncertainties

In this paper, adaptive output feedback tracking control is developed for a class of stochastic nonlinear systems with dynamic uncertainties and unmeasured states. Neural networks are used to approximate the unknown nonlinear functions. K‐filters are designed to estimate the unmeasured states. An available dynamic signal is introduced to dominate the unmodeled dynamics. By combining dynamic surface control technique with backstepping, the condition in which the approximation error is assumed to be bounded is avoided. Using It ô formula and Chebyshev's inequality, it is shown that all signals in the closed‐loop system are bounded in probability, and the error signals are semi‐globally uniformly ultimately bounded in mean square or the sense of four‐moment. Simulation results are provided to illustrate the effectiveness of the proposed approach. Copyright © 2014 John Wiley & Sons, Ltd.     

Robust adaptive DSC of directly input‐coupled nonlinear systems with input unmodeled dynamics and time‐varying output constraints

In this paper, an adaptive robust dynamic surface control is proposed for a class of uncertain nonlinear interconnected systems with time‐varying output constraints and dynamic input and output coupling. The directly coupled inputs and control inputs are both of nonlinear input unmodeled dynamics. To counteract the instable impact of the nonlinear input unmodeled dynamics, normalization signals are designed on the basis of the convergence rates of their Lyapunov functions. With new state variables and control variables being defined, the real control inputs are obtained through solving the equations of intermediate control laws. The time‐varying constraints on output signals are implemented by introducing asymmetric barrier Lyapunov functions. In addition, dynamic signals and decentralized K‐filters are used to deal with the state unmodeled dynamics and to estimate the unmeasurable states, respectively. By the theoretical analysis, the signals in the closed‐loop system are proved to be semi‐globally uniformly ultimately bounded, and the output constraints are guaranteed simultaneously. A numerical example is provided to show the effectiveness of the proposed approach. Copyright © 2017 John Wiley & Sons, Ltd.     

Adaptive optimal dynamic surface control of strict‐feedback nonlinear systems with output constraints

In this paper, an adaptive optimal control strategy is proposed for a class of strict‐feedback nonlinear systems with output constraints by using dynamic surface control. The controller design procedure is divided into two parts. One is the design of feedforward controller and the other is the design of optimal controller. To guarantee the satisfaction of output constraints in feedforward controller, nonlinear mapping is utilized to transform the constrained system into an unconstrained system. Neural‐network based adaptive dynamic programming algorithm is employed to approximate the optimal cost function and the optimal control law. By theoretical analysis, all the signals in the closed‐loop system are proved to be semi‐globally uniformly ultimately bounded and the output constraints are not violated. A numerical example illustrates the effectiveness of the proposed scheme.     

冶金厂用起重机的设计要点

介绍了冶金厂用起重机的结构特征使用要求和设计要点.     

新型红光LED中ITO的特性研究

用真空电子束蒸镀的方法制备半导体发光二极管LED 所用的ITO(indium tin oxide)膜。利用TLM(transmission line model)研究ITO与GaP接触特性。在氮气环境,435℃条件下,快速热退火40s能获得最小的接触电阻4.3×10-3Ωcm2。Hall测试和俄偈电子能谱表明,影响接触电阻的主要原因是ITO载流子浓度的改变和In,Ga,O的扩散。另外,制作了以300nm ITO为窗口层的新型AlGaInP红光LED并研究其可靠性。发现ITO的退化导致了LED的电压持续升高。而ITO与GaP热膨胀系数的不同导致了LED的最终失效。     

氢化物发生-原子荧光光谱法测定硒中微量铋

硒样品经硝酸和盐酸溶解后,加入氯化羟胺将硒(Ⅵ)还原成单质硒,使基体与杂质元素分离,用氢化物发生-原子荧光光谱法测定样品中微量铋.研究了氢化物发生的介质和酸度、硼氢化钾溶液浓度、预还原剂用量、预还原时间、氯化羟胺用量、共存元素等因素对测定结果的影响.在最佳测定条件下,铋的质量浓度在0 ～ 100 ng/mL范围内与荧光强度呈良好线性关系,相关系数大于0.9995,方法的检出限为0.18 ng/mL,加标回收率在96％～106％之间.本法测得结果和电感耦合等离子体原子发射光谱法(ICP-AES)基本一致,相对标准偏差(n=11)小于10％.     

脑血管病伴糖尿病患者介入治疗后对比剂对肾功能的影响

【摘要】 目的 探讨神经介入治疗对脑血管病伴糖尿病患者肾功能的影响。方法 回顾性分析2013年3月至2016年3月采用神经介入术治疗的108例脑血管病伴2型糖尿病患者临床资料。所有患者介入术中对比剂用量＜250 mL,观察术前、术后24 h血清肌酐（sCr）、血清胱抑素（Cys）C水平变化,根据肾脏疾病膳食改良（MDRD）公式和Larsson公式分别计算肾小球滤过率估计值（eGFR）。结果 与术前相比,所有患者术后24 h sCr、血清Cys C水平均显著增高（P＜0.000 1,P=0.015）,eGFR明显降低（MDRD公式 P＜0.000 1,Larsson公式 P=0.021）,均未出现需要治疗的肾损害。结论 神经介入术对比剂应用可引起2型糖尿病患者肾功能下降,sCr、血清Cys C联合测定有助于尽早发现对比剂应用后肾功能改变,对比剂常规剂量对2型糖尿病患者神经介入手术是安全的。

     

结合水库调度的小型水电站二次水量分配

根据水库调度的结果,电站在旬内的发电用水量是一定的。文中利用动态规划法,再次在旬内分配水量,结合小型水电站厂内经济运行计算,使电站在这一旬内总的发电量最大。实例计算表明,合理的水量旬内二次分配可以提高电站效益,使机组更好地处于高效率区运行。     

云南某低品位菱铁矿选矿试验研究

云南怒江地区某低品位菱铁矿含TFe 25.67%,金属矿物主要为菱铁矿,还有少量黄铁矿、黄铜矿等,脉石矿物主要为石英,绢云母等,为有效开发利用该矿石资源,对有代表性的矿石进行了详细的试验研究,最终采用强磁选—焙烧的选矿工艺流程,获得了铁品位57.95%、回收率为80.13%的铁精矿,为同类型矿石的开发利用提供了借鉴。     

论滑坡稳定性分析方法

 以地质体的渐进、动态破坏为基本出发点,对滑坡的稳定性问题进行较为系统的讨论。通过具体滑坡现象和模型试验说明研究滑坡问题的复杂性;按照山体的破坏程度,划分包括既有破坏、局部再破坏、贯穿性破坏、离散性破坏和运动性破坏几种破坏形式,说明破坏类型的转化正是山体渐进破坏的过程;综合分析极限平衡法、有限元法、离散元法分析边坡稳定性的局限性;详细介绍基于连续介质的离散元法的特点;建议将滑坡体地表裂缝作为参数分析的基本参量;阐述分析运动性破坏的重要性;特别强调单纯靠计算方法不能解决工程问题,将计算模型与现场监测结果分析相结合,是正确判断山体当前状态、分析滑坡稳定性的有效途径。