基于BP神经网络的智能灯光控制系统的研究

智能灯光控制系统是智能家居控制系统的重要组成部分。在分析了目前智能灯光控制系统缺陷与不足的基础上,提出了BP神经网络在智能灯光控制系统的应用,将BP算法嵌入到智能灯光控制系统的数据处理模块,提高控制系统对于数据的处理能力。系统通过引入BP神经网络的自学习能力,改善了智能灯光控制系统智能化程度低的问题。通过实验分析,该系统能够提高智能灯光控制系统的智能性,给人们提供了一个舒适的居家灯光环境。同时,BP神经网络在智能灯光控制系统的应用,对于解决智能家居控制系统解决智能化程度低的问题也有一定的促进作用。     

餐厅服务机器人控制系统设计与实现

通过对餐厅服务机器人控制系统需求进行分析,提出了以微控制器MSP430F5438为核心的餐厅服务机器人控制系统总体设计方案。该方案采用模块化方法完成了控制系统硬件电路设计,主要包括：主控模块、电源及管理模块、运动控制模块、无线通信模块、导航定位模块、安全避障模块和人机交互模块等。介绍了控制系统软件的总体流程,完成了控制系统嵌入式软件的设计。实验结果表明,所设计的控制系统应用于餐厅服务机器人可以实现送餐的功能,控制效果良好,实用性强,具有显著的推广应用价值。     

一种棱镜式激光陀螺光强控制系统研究

激光陀螺设计时均采用光强控制系统和程长控制系统。依据控制系统理论,建立了棱镜式激光陀螺光强控制系统传递函数。用实验测试的方法建立了环形激光器在光强控制系统中的等效数学模型,通过理论分析和Matlab仿真,能够准确评估激光陀螺光强控制系统的性能,为系统设计提供了理论依据,提高了陀螺性能和调试效率。     

配电房轨道式自动巡检机器人控制系统设计与实现

针对配电房等室内电力系统供电设备自动巡检的需求,提出了以微控制器MSP430F5438为核心的自动巡检机器人控制系统总体设计方案。采用模块化方法完成了控制系统硬件电路设计,主要包括：主控模块、电源模块、运动控制模块、通信模块和数据采集模块。介绍了控制系统软件的总体流程,完成了控制系统嵌入式软件及其上位机监控软件的设计。实验结果表明,所设计的控制系统应用于巡检机器人可以实现对配电房供电设备的自动巡检,从而验证了控制系统的有效性与合理性,具有显著的推广应用价值。     

动车组网络控制系统及技术分析

动车组的网络控制系统相当于人的大脑和神经,它在保证列车的行车安全、可靠性、舒适性方面具有至关重要的作用。为了给相关产品的网络控制系统设计提供借鉴,通过梳理中车已有典型动车组产品的网络控制系统,提取共性特征,总结归纳了动车组网络控制系统的组成、系统功能、拓扑功能、主要参数等内容。同时,乘客需求的提升以及轨道交通装备技术的不断升级,对动车组在速度、舒适性、智能化等方面提出了更高要求,为了明确动车组列车网络控制系统的发展方向,通过查询专利文献等途径,得出动车组网络控制系统新技术研究多集中在多网融合、列车冗余优化设计、列车自动驾驶、无线通信等方向,可以为轨道交通技术特别是网络控制系统技术的相关研究提供参考。     

基于659总线的飞行器电气控制系统设计与实现

为提高飞行器电气控制系统测量和管理的可靠性,实现电气控制系统的综合管理;通过采用ARINC659背板总线、冗余的电气控制系统模块化设计方法,设计并实现了一种电气控制系统。这篇文章介绍了该系统的主要功能、技术特点、硬件和软件设计。该系统在满足实时性、可靠性需求的同时,具有快速的系统重构和很强的可配置性,而且大大减少了飞机电气系统的重量,适应电气控制系统综合控制发展的方向。基于659总线的飞行器电气控制系统,解决了复杂机电系统的数据融合和综合管理,在工程实践中已成功应用。     

基于VxWorks的PCI设备驱动程序设计

 阵列天线控制系统采用实时操作系统VxWorks,为了实现控制系统计算机与单元天线的通信,在控制系统计算机中采用PCI设备与单元天线通信,并且基于VxWorks实时操作系统开发了PCI设备的驱动程序。主要完成了板级支持包的修改、PCI设备的初始化,以及功能函数的设计。经试验验证,该驱动程序工作稳定可靠,可以应用于控制系统中。     

精密稳定控制系统输入量的获取方法

精密稳定(二级稳定d)控制系统具有通频带宽、响应速度快、精度高的特点,弥补了跟踪架伺服(一级稳定b)控制系统的不足。压电陶瓷倾斜平台(PZT)作为精密稳定控制系统的驱动装置,对于这种特殊结构来说,传统的光电传感器的输入不适于精密稳定控制系统的驱动装置。着重讨论了其输入量的获取方法,并在实验的基础上分析了这种方法的可行性。     

基于数字信号处理技术的连续变焦镜头控制系统设计

针对以往连续变焦镜头控制系统存在的速度响应慢、准确度低等缺点,对连续变焦镜头及其控制系统的设计方法进行改进.采用机械补偿的变焦距镜头理论,确定变焦距系统位移曲线.基于数字信号处理技术和步进电机的控制技术,设计了包括数字信号处理器、步进电机、步进电机驱动器、键盘控制、计算机通信、液晶显示模块为一体的控制系统,同时对变焦距系统增加了自锁模块,提高了控制系统的安全性与可靠性.初步实验结果表明,控制系统准确度在0.01 mm以内,满足0.12 mm的设计指标.     

高能X射线工业CT扫描运动控制系统设计

 分析了高能X射线工业CT扫描运动控制系统的作用,提出了扫描运动控制系统的组成方案。控制系统由工业控制计算机、计数卡、控制卡、伺服驱动器、伺服电机、工作平台、光栅和控制软件组成。研究了在Windows驱动程序模式（WDM）下,控制系统设备驱动程序的组成。以运动控制卡为例,研究了开发控制系统设备驱动程序的方法,并分析了设备驱动程序和用户程序交互的过程。通过编写WDM驱动程序,实现了对高能X射线工业CT扫描运动系统的实时控制。实验结果表明,开发的扫描运动控制系统,可靠性和实时性满足要求。     

Dynamical behaviour of a controlled vibro-impact system

In this paper, we give a controlled two-degree-of-freedom （TDOF） vibro-impact system based on the damping control law, and then investigate the dynamical behaviour of this system. According to numerical simulation, we find that this control scheme can suppress chaos to periodic orbit successfully. Furthermore, the feasibility and the robustness of the controller are confirmed, separately. We also find that this scheme cannot only suppress chaos, but also generate chaos in this system.     

Synchronization and parameter estimations of an uncertain Rikitake system

In this Letter we address the synchronization and parameter estimation of the uncertain Rikitake system, under the assumption the state is partially known. To this end we use the master/slave scheme in conjunction with the adaptive control technique. Our control approach consists of proposing a slave system which has to follow asymptotically the uncertain Rikitake system, refereed as the master system. The gains of the slave system are adjusted continually according to a convenient adaptation control law, until the measurable output errors converge to zero. The convergence analysis is carried out by using the Barbalat's Lemma. Under this context, uncertainty means that although the system structure is known, only a partial knowledge of the corresponding parameter values is available.     

Sliding Mode Control of Fractional-Order Delayed Memristive Chaotic System with Uncertainty and Disturbance

In this paper, a simplest fractional-order delayed memristive chaotic system is proposed in order to control the chaos behaviors via sliding mode control strategy. Firstly, we design a sliding mode control strategy for the fractionalorder system with time delay to make the states of the system asymptotically stable. Then, we obtain theoretical analysis results of the control method using Lyapunov stability theorem which guarantees the asymptotic stability of the noncommensurate order and commensurate order system with and without uncertainty and an external disturbance. Finally,numerical simulations are given to verify that the proposed sliding mode control method can eliminate chaos and stabilize the fractional-order delayed memristive system in a finite time.     

Real-Time Quantum Feedback Control: ManipulatingQuantum State in Non-Markovian System

In this paper, we propose a closed-loop real-time feedback design for manipulating a quantum state to a target eigenstate via sequential measurements. To this end, based on the Lyapunov stability theorem, considering the controllability and convergence of the system, we select one measured observable and two control channels, which feedback part of the output signal to the input end, forming a closed-loop control. By dynamical programming, we find the optimal parameters to achieve state transfer with a high probability by real-time feedback control. Numerical simulation experiments show that, in a stochastic quantum system with non-Markovian noise, the real-time control strategy moves the system from initial state to the target eigenstate with fast convergence.

     

Stability analysis of nonlinear stochastic differential delay systems under impulsive control

In this Letter, we study the stability of nonlinear stochastic differential delay systems under impulsive control. First, we construct an impulsive control for a nonlinear stochastic differential delay system. Then, the equivalent relation between the stability of the nonlinear stochastic differential delay system under impulsive control and that of a corresponding nonlinear stochastic differential delay system without impulses is established. Third, some sufficient conditions ensuring various stabilities of the nonlinear stochastic differential delay systems under impulsive control are obtained. Finally, an example is also discussed to illustrate the effectiveness of the obtained results.     

Anti-synchronization Between Two Coupled Networks with Unknown Parameters Using Adaptive and Pinning Controls

In this paper, we study anti-synchronization between two coupled networks where the node dynamics has an unknown system parameter. By designing adaptive and pinning control schemes, we realize the anti-synchronization.By Lyapunov stability theory, we obtain two theorems on the appearance of anti-synchronization. In addition, we derive a criterion for the pinning number of nodes. Finally we provide two numerical examples to show the effectiveness of our proposed control schemes. When the anti-synchronization is achieved, we successfully identify the unknown system parameter.     

Quantum State Preparation and Protection by Measurement-Based Feedback Control Against Decoherence

We consider an open quantum system subjected to a noise channel under measurement-based feedback control and two prototypical classes of decoherence channels are considered: phase damping and generalized amplitude damping. Based on quantum trajectory theory, we obtain an extended master equation for the dynamics of the reduced system in the presence of feedback control. For a qubit system we analytically solve this master equation and obtain the solution of the state vector dynamics. Then we propose an effective feedback control scheme for preparing an arbitrary quantum pure state. We also study how to protect two nonorthogonal states effectively, and find that projective measurement with unbiased basis is not optimal for this task, while weak measurement with biased basis could realize the best protection of two nonorthogonal states. Furthermore, the inefficiencies in the feedback process are also discussed.     

Theoretical and experimental study of Chen chaotic system with notch filter feedback control

Since the past two decades, the time delay feedback control method has attracted more and more attention in chaos control studies because of its simplicity and efficiency compared with other chaos control schemes. Recently, it has been proposed to suppress low-dimensional chaos with the notch filter feedback control method, which can be implemented in a laser system. In this work, we have analytically determined the controllable conditions for notch filter feedback controlling of Chen chaotic system in terms of the Hopf bifurcation theory. The conditions for notch filter feedback controlled Chen chaoitc system having a stable limit cycle solution are given. Meanwhile, we also analysed the Hopf bifurcation direction, which is very important for parameter settings in notch filter feedback control applications. Finally, we apply the notch filter feedback control methods to the electronic circuit experiments and numerical simulations based on the theoretical analysis. The controlling results of notch filter feedback control method well prove the feasibility and reliability of the theoretical analysis.     

Passive control of chaotic system with multiple strange attractors

In this paper we present a new simple controller for a chaotic system, that is, the Newton--Leipnik equation with two strange attractors: the upper attractor (UA) and the lower attractor (LA). The controller design is based on the passive technique. The final structure of this controller for original stabilization has a simple nonlinear feedback form. Using a passive method, we prove the stability of a closed-loop system. Based on the controller derived from the passive principle, we investigate three different kinds of chaotic control of the system, separately: the original control forcing the chaotic motion to settle down to the origin from an arbitrary position of the phase space; the chaotic intra-attractor control for stabilizing the equilibrium points only belonging to the upper chaotic attractor or the lower chaotic one, and the inter-attractor control for compelling the chaotic oscillation from one basin to another one. Both theoretical analysis and simulation results verify the validity of the suggested method.     

An approximation for the boundary optimal control problem of a heat equation defined in a variable domain

In this paper, we consider a numerical approximation for the boundary optimal control problem with the control constraint governed by a heat equation defined in a variable domain. For this variable domain problem, the boundary of the domain is moving and the shape of theboundary is defined by a known time-dependent function. By making use of the Galerkin finite element method, we first project the original optimal control problem into a semi-discrete optimal control problem governed by a system of ordinary differential equations. Then, based on the aforementioned semi-discrete problem, we apply the control parameterization method to obtain an optimal parameter selection problem governed by a lumped parameter system, which can be solved as a nonlinear optimization problem by a Sequential Quadratic Programming （SQP） algorithm. The numerical simulation is given to illustrate the effectiveness of our numerical approximation for the variable domain problem with the finite element method and the control parameterization method.