一类二阶非线性泛函微分方程的振动性

讨论了一类二阶非线性泛函微分方程的振动性,得到了该类方程所有解振动的新的充分条件,改进并推广了已有的结果.     

高阶非线性脉冲泛函微分方程的振动性

研究了一类广义的高阶非线性脉冲泛函微分方程的振动性,得到关于解振动的几个充分条件.     

高阶泛函微分方程的振动性和渐近性

本文讨论带有强迫项的时滞型泛函微分方程的振动性和渐近性。对于形如和的方程得到了几个振动及渐近性质的判别准则。本文的结论的证明还修正了R.S.Dahiya在讨论线性方程时出现的错误。     

高阶中立型多滞量泛函微分方程的振动性

本文考虑如下高阶中立型泛函微分方程:其中,p是实数,是非负实数目前,高阶中立型泛函微分方程的渐近性,振动性的文章还不多,尤其是振动性的文章。较早的工作如文献[1],它给出了n=1,m=1时,方程(1)的渐近性和振动性的一些结果。徐远通和Ladas and Y.G.Sficas解决了方程(1)含一个滞量(m=1)时解的渐近性质,而文献[3]得到了一些关于方程(1)(m=1时)振动的充分     

一类偶数阶中立型非线性阻尼泛函微分方程的振动准则

本文用不同于原有文献的方法研究了一类偶数阶中立型非线性微分方程的振动性,得到了方程振动的几个新的充分条件。     

一阶非线性时滞微分方程解的振动性

本文通过使用化多时滞为单时滞的技巧，研究了一类广泛的非线性泛函微分方程解的振动性，所得结果包含和改进了Hunt，Yorke等多人的结果．     

拟线性抛物泛微分方程组有关边值问题的振动性

本文讨论了拟线性抛物泛函微分方程组在Robin,Dirchlet边界条件下解的振动性,获得了解振动的充分条件。     

线性泛函方程解的振动性的新结果

本文研究高阶泛函方程x(g(t))=P(t)x(t)+Q1(t)x(g2(t))+…+Qk(t)x(gk+1(t))解的振动性,得到了一些新的振动条件.改进和推广了已有结果.     

三阶非线性泛函微分方程振动的比较准则

本文利用比较法,与一阶时滞微分方程的振动性相比较,研究一类三阶非线性泛函微分方程的振动性,建立该类方程振动的新比较振动准则.本文结果推广和改进了最近文献中的一些新结果.     

二阶非线性泛函微分方程解的振动性质

研究了一类二阶非线性泛函微分方程解的振动性以及非振动解的有界性.在一定条件下,建立了几个新的振动性和有界性定理,其结果推广和改进了已有的一些结果.     

Control of the Burgers Equation by a Reduced-Order Approach Using Proper Orthogonal Decomposition

Proper orthogonal decomposition (POD) is a method to derive reduced-order models for dynamical systems. In this paper, POD is utilized to solve open-loop and closed-loop optimal control problems for the Burgers equation. The relative simplicity of the equation allows comparison of POD-based algorithms with numerical results obtained from finite-element discretization of the optimality system. For closed-loop control, suboptimal state feedback strategies are presented.     

电力系统中的非同期合闸产生过电压控制模型研究

本文首先建立了电力系统中非同期合闸过电压的时延控制系统的数学西模型,得到了相应闭环系统的稳定性以及振动性,同时利用时延控制次优控制的灵敏度系数研究者到了该系统的次优控制设计方法及相应的次优控制设计过程,最后我们结合采样数据,利用泛函微分方程的分布迭代方法进行数值计算,得到了均优于已有文献的结果。     

Turnpike properties for a class of piecewise deterministic systems arising in manufacturing flow control

This paper deals with a general class of piecewise deterministic control systems that encompasses FMS flow control models. One uses the Markov renewal decision process formalism to characterize optimal policies via a discrete event dynamic programming approach. A family of control problems with a random stopping time is associated with these optimality conditions. These problems can be reformulated as infinite horizon deterministic control problems. It is then shown how the so-calledturnpike property should hold for these deterministic control problems under classical convexity assumptions. These turnpikes have the same generic properties as the attractors obtained via a problem specific approach in FMS flow control models and production planning and are calledhedging points in this literature.This research has been supported by NSERC-Canada, Grants No. A4952 by FCAR-Québec, Grant No. 88EQ3528, Actions Structurantes, MESS-Québec, Grant No. 6.1/7.4(28), and FNRS-Switzerland.     

Boundaries of the receding horizon control for interconnected systems

In recent years, the finite-horizon quadratic minimization problem has become popular in process control, where the horizon is constantly rolled back. In this paper, this type of control, which is also called the receding horizon control, is considered for interconnected systems. First, the receding horizon control equations are formulated; then, some stability conditions depending on the interconnection norms and the horizon lengths are presented. For -coupled systems, stability results similar to centralized systems are obtained. For interconnected systems which are not -coupled, the existence of a horizon length and a corresponding stabilizing receding horizon control are derived. Finally, the performance of a locally computed receding horizon control for time-invariant and time-varying systems with different updating intervals is examined in an example.     

Monitoring change point for diffusion parameter based on discretely observed sample from stochastic differential equation models

Stochastic differential equation (SDE) models are useful in describing complex dynamical systems in science and engineering. In this study, we consider a monitoring procedure for an early detection of dispersion parameter change in SDE models. The proposed scheme provides a useful diagnostic analysis for phase I retrospective study and develops a flexible and effective control chart for phase II prospective monitoring. A standardized control chart is constructed, and a bootstrap method is used to estimate the mean and variance of the monitoring statistic. The control limit is obtained as an upper percentile of the maximum value of a standard Wiener process. The proposed procedure appears to have a manageable computational complexity for online implementation and also to be effective in detecting changes. We also investigate the performance of the exponentially weighted mean squared control charts for the continuous SDE processes. A simulation method is used to study the empirical sizes and the average run length characteristics of the proposed scheme, which also demonstrates the effectiveness of our method. Finally, we provide an empirical example for illustration. Copyright © 2014 John Wiley & Sons, Ltd.     

Exponential stabilization by delay feedback control for highly nonlinear hybrid stochastic functional differential equations with infinite delay

Given an unstable hybrid stochastic functional differential equation, how to design a delay feedback controller to make it stable? Some results have been obtained for hybrid systems with finite delay. However, the state of many stochastic differential equations are related to the whole history of the system, so it is necessary to discuss the feedback control of stochastic functional differential equations with infinite delay. On the other hand, in many practical stochastic models, the coefficients of these systems do not satisfy the linear growth condition, but are highly nonlinear. In this paper, the delay feedback controls are designed for a class of infinite delay stochastic systems with highly nonlinear and the influence of switching state.     

Iterative learning consensus control with initial state learning for fractional order distributed parameter models multi-agent systems

This paper considers the consensus control problem of multi-agent systems (MAS) with distributed parameter models. Based on the framework of network topologies, a second-order PI-type iterative learning control (ILC) protocol with initial state learning is proposed by using the nearest neighbor knowledge. A discrete system for proposed ILC is established, and the consensus control problem is then converted to a stability problem for such a discrete system. Furthermore, by using generalized Gronwall inequality, a sufficient condition for the convergence of the consensus errors between any two agents is obtained. Finally, the validity of the proposed method is verified by two numerical examples.     

卫星姿态跟踪的间接自适应模糊预测控制

对含模型不确定性和未知干扰的卫星姿态系统提出了具有间接自适应模糊补偿的广义预测跟踪控制方法. 首先基于卫星姿态动力学模型设计了非线性广义预测控制律, 再利用自适应模糊系统逼近预测控制律中的模型不确定项, 使得所得到的预测控制算法可实施.证明了当卫星姿态模型中不确定项满足一定条件时, 所设计的控制律可使卫星姿态跟踪误差收敛到原点的小邻域内,并仿真结果验证了所提出方法的有效性.     

Stabilization of switched linear systems using an improved event-triggered control scheme

This paper is concerned with the event-triggered control of switched linear systems. The coupling of system switching and event-triggered communication raises two phenomena: (1) the update of controller cannot always catch up with the active subsystem; (2) the switching may lead to additional triggers. The first phenomenon is called the asynchronous switching induced by network communication and the second one brings great difficulty to avoid the Zeno behavior of event-triggered mechanism (ETM). To address the above problem, we propose a new ETM which contains the switching signal of models and controllers and the discontinuity of triggering error at switching time instants. A relative threshold strategy, combined with a jump function, is designed as a new threshold function. By introducing a compensation term, the linear feedback control law is extended to avoid the Zeno behavior of ETM and improve the solvability of control algorithm. Based on the proposed event-triggered control scheme, the exponential stabilization of switched systems is achieved with relaxed constraints on the triggering and switching conditions. The obtained results are validated by a numerical example.     

柴油机供喷油过程的压力变化与控制

针对2019年全国大学生数学建模竞赛A题高压油管的压力控制问题,在一些简化的假设下给出了描述柴油机高压共轨管内燃油进入和喷出过程压力变化的数学模型,得到了几种情况下维持压力稳定的策略,并对学生竞赛答卷中的一些情况进行了评述.