Universal approximation to nonlinear operators by neural networkswith arbitrary activation functions and its application to dynamicalsystems

The purpose of this paper is to investigate neural network capability systematically. The main results are: 1) every Tauber-Wiener function is qualified as an activation function in the hidden layer of a three-layered neural network; 2) for a continuous function in S'(R(1 )) to be a Tauber-Wiener function, the necessary and sufficient condition is that it is not a polynomial; 3) the capability of approximating nonlinear functionals defined on some compact set of a Banach space and nonlinear operators has been shown; and 4) the possibility by neural computation to approximate the output as a whole (not at a fixed point) of a dynamical system, thus identifying the system.     

An improved kernel correlation filter for complex scenes target tracking

Multimedia Tools and Applications - Video tracking technology employed to achieve efficient and accurate tracking of targets in complex scenes has often been one of the challenges to be tackled....     

Multi-agent formation control in switching networks using backstepping design

A rigid formation control problem of n agents described by double integrators is proposed in this paper. At the same time, the arbitrary switching topology with no dwell time between consecutive switches is considered. Then the nonsmooth analysis, the backstepping technique and the adaptive perturbation method are employed to design the globally stable rigid formation control strategy. The main result is that regardless of the topology switching, the global stabilization of the rigid formation, the convergence to a common velocity vector and the collision avoidance between communicating agents are still guaranteed as long as the graph topology remains rigid all the time. Simulations are given to demonstrate the effectiveness of the proposed control algorithm.     

溶剂萃取分离铁锌

氯化物溶液中，铁（Ⅱ）、铁（Ⅲ）、锌（Ⅱ）与氯离子配位，形成不同的络合物，具有可萃性差异。对ＴＢＰ、叔胺、季铵进行分离性能比较后发现，季铵对铁（Ⅱ）、锌表现出优良的分离性能和较大的负载容量。机理研究表明，季铵萃锌是阴离子交换反应。模拟实验证实，经两级萃取能使铁（Ⅱ）、锌几乎完全分离。     

高压高水基棉麻动密封软填料的吸附载荷试验分析

本文阐述了新型编织软填料吸附载荷(附加密封力)的产生原因，通过试验，验证了吸附载荷对密封力的贡献。     

纳米材料的分类及基本结构效应

从不同角度对纳米材料进行了分类，讨论了纳米材料晶粒尺寸效应、界面效应及结构单元之间的交互效应；论述了纳米材料基本结构效应与其物理化学性质之间的关系。     

基于正交试验的光伏水泵性能优化

以光伏水泵为研究对象,基于试验测试和理论分析建立光伏水泵出水量计算预测方法。采用正交试验设计优化方案,选取泵叶轮结构参数为优化变量,通过数值模拟和试验研究的方法,对该光伏水泵的性能进行优化和试验验证。结果表明：经优化后,光伏水泵系统的最低出水值下降至330 W/m²,水泵每日工作时长提升;光照辐射强度稳态时的泵出口压力脉动相较优化前有小幅提升,光照辐射强度瞬态变化时泵出口压力脉动波动幅度更平稳;优化后的模型泵叶轮进口低压区面积明显减小,叶轮出口压力显著增加,同时叶轮流道内速度分布更为均匀。     

Adaptive neural network control for stochastic constrained block structure nonlinear systems with dynamical uncertainties

Stochastic adaptive dynamic surface control is presented for a class of uncertain multiple‐input–multiple‐output (MIMO) nonlinear systems with unmodeled dynamics and full state constraints in this paper. The controller is constructed by combining the dynamic surface control with radial basis function neural networks for the MIMO stochastic nonlinear systems. The nonlinear mapping is applied to guarantee the state constraints being not violated. The unmodeled dynamics is disposed through introducing an available dynamic signal. It is proved that all signals in the closed‐loop system are bounded in probability and the error signals are semiglobally uniformly ultimately bounded in mean square or the sense of four‐moment and the state constraints are confirmed in probability. Simulation results are offered to further illustrate the effectiveness of the control scheme.     

Power-Rate Global Stability of Dynamical Systems With Unbounded Time-Varying Delays

In this brief, dynamical systems with unbounded time-varying delays are investigated. Two approaches are developed to derive sufficient conditions ensuring the existence, uniqueness of the equilibrium and its global stability. Moreover, different from globally asymptotical stability and globally exponential stability, a new concept of stability, global power stability, is proposed. Under mild conditions, we prove that the dynamical systems with unbounded time-varying delays are globally power stable.