会计电算化的实施应建立会计电算化系统控制制度

会计电算化系统控制制度对于维护会计数据的真实性和有效性有着重要的作用.随着经济的发展,会计电算化的应用更加普及,这种普及带来了会计工作效率和质量的提高,然而,这种新效益也给企业内部控制带来了许多新问题,这些问题亟待解决.企业应该建立电算化系统控制制度,更应该建立一套合适的控制制度.

浅谈电算化环境下内部控制面临的挑战及对策

我国电算化事业的发展，对推动会计工作更好地为经济管理服务发挥了不可低估的作用，但同时也给会计的内部控制带来了诸多问题。面对挑战，我们应及时转变观念，建立健全新的内控制度，确保电算化系统的安全、高效运行。

Improved Smith prediction monitoring AGC system based on feedback-assisted iterative learning control

The performance of Smith prediction monitoring automatic gauge control(AGC) system is influenced by model mismatching greatly in strip rolling process. Aiming at this problem, a feedback-assisted iterative learning control strategy, which learned unknown modeling error by using previous control information repeatedly, was introduced into Smith prediction monitoring AGC system. Firstly, conventional Smith predictor and improved Smith predictor with PI-P controller were analyzed. Secondly, on the basis of establishing of feedback-assisted iterative learning control strategy for improved Smith predictor, process control signal update law and control error were deduced, then convergence condition of this strategy was put forward and proved. Finally, after modeling the automatic position control system, the PI-P Smith prediction monitoring AGC system with feedback-assisted iterative learning control was researched through simulation. Simulation results indicate that this system remains stable during model mismatching. The robustness and response of monitoring AGC is improved by development of feedback-assisted iterative learning control strategy for PI-P Smith predictor.

Active disturbance rejection control for hydraulic width control system for rough mill

The highly nonlinear behavior of the system limits the performance of classical linear proportional and integral （PI） controllers used for hot rolling. An active disturbance rejection controller is proposed in this paper to deal with the nonlinear problem of hydraulic servo system in order to preserve last response and small overshoot of control system. The active disturbance rejection （ADR） controller is composed of nonlinear tracking differentiator （TD）, extended state observer （ESO） and nonlinear feedback （NF） law. An example of the hydraulic edger system case study is investigated to show the effectiveness and robustness of the proposed nonlinear controller, especially, in the circumstance of foreign disturbance and working condition variation, compared with classic PI controller.

Adaptive PID control system for an autonomous underwater vehicle

The control system of an autonomous underwater vehicle （AUV） is introduced. According to control requirements of the AUV, a simple but practical adaptive PID control method is designed The semi-physical simulation is done to test the feasibility of the control system. The neural network idea and the structure of PID controller are referred to design the adaptive PID controller. An intelligent integral is introduced to improve control precision. Compaed with traditional PID con- trollers, the adaptive PID controller has simple structure, good online adjusting ability, fast convergence and good robustness. The simulation experiments also show that the adaptive PID control system has high precision and fine antijamming ability.

Control of acrobot based on Lyapunov function

Fuzzy control based on Lyapunov function was employed to control the posture and the energy of an (acrobot) to make the transition from upswing control to balance control smoothly and stably. First, a control law based on Lyapunov function was used to control the angle and the angular velocity of the second link towards zero when the energy of the acrobot reaches the potential energy at the unstable straight-up equilibrium position in the upswing process. The controller based on Lyapunov function makes the second link straighten nature relatively to the first link. At the same time, a fuzzy controller was designed to regulate the parameters of the upper control law to keep the change of the energy of the acrobot to a minimum, so that the switching from (upswing) to balance can be properly carried out and the acrobot can enter the balance quickly. The results of simulation show that the switching from upswing to balance can be completed smoothly, and the control effect of the acrobot is improved greatly.

Acid-pickling plates and strips speed control system by microwave heating based on self-adaptive fuzzy PID algorithm

Double self-adaptive fuzzy PID algorithm-based control strategy was proposed to construct quasi-cascade control system to control the speed of the acid-pickling process of titanium plates and strips. It is very useful in overcoming non-linear dynamic behavior, uncertain and time-varying parameters, un-modeled dynamics, and couples between the automatic turbulence control (ATC) and the automatic acid temperature control (AATC) with varying parameters during the operation process. The quasi-cascade control system of inner and outer loop self-adaptive fuzzy PID controller was built, which could effectively control the pickling speed of plates and strips. The simulated results and real application indicate that the plates and strips acid pickling speed control system has good performances of adaptively tracking the parameter variations and anti-disturbances, which ensures the match of acid pickling temperature and turbulence of flowing with acid pickling speed, improving the surface quality of plates and strips acid pickling, and energy efficiency.

Turbine speed control system based on a fuzzy-PID

The flexibility demand of marine nuclear power plant is very high,the multiple parameters of the marine nuclear power plant with the once-through steam generator are strongly coupled,and the normal PID control of the turbine speed can't meet the control demand.This paper introduces a turbine speed Fuzzy-PID controller to coordinately control the steam pressure and thus realize the demand for quick tracking and steady state control over the turbine speed by using the Fuzzy control's quick dynamic response and PID control's steady state performance.The simulation shows the improvement of the response time and steady state performance of the control system.

Research on the Winding/Unwinding Control System Based on Fuzzy Control Theory

A fuzzy controller of the winding/unwinding control system used in jig-dyeing machine is introduced,which is superior to the one with conventional optimal PID controller in convergence speed and stability.Its mathematical model and transfer function are presented based on mechanism of the winding/unwinding control system.Simulation of the fuzzy controller carried out in the MATLAB(Simulink)environment proves that the control system based on fuzzy controller is superior in quality,precision and operation to a conventional optimal PID controller.The outlined experimental results also show the effectiveness and the robustness of the fuzzy PID controller in good dynamic performance,high robustness to parameter variation and disturbance.

Control strategy of disc braking systems for downward belt conveyors

Reliability of braking systems is a key requirement to ensure the safety of in using downward belt conveyor brakes. By analyzing and comparing three commonly used braking velocity curves, we conclude that the Harrison curve is the best. Given the characteristics of a downward belt conveyor, we studied the control in a closed-loop velocity, a conventional PID method and an optimal PID control method. We used MATLAB/Simulink to simulate the three control methods. Our simulation results show that opti- mal PID control is especially suitable for disc braking systems. To verif!/the results from theoretical anal- ysis and simulation, a multifunctional test-bed was developed to simulate the braking process of a disc brake system. Our experimental results demonstrate that the optimal PID control can make the output velocity to follow a preset velocity correctly with only small fluctuations, meeting the requirements of a flexible brake for a belt conveyor.

A Sliding Mode Control for Uncertain Time-delay Systems

By means of the feasibility of some linear matrix inequalities(LMIs),delay dependent sufficient condition is derived for the existence of a linear sliding surface,which guarantees quadratic stability of the reduced-order equivalent system restricted to the sliding surface.And a reaching motion controller is proposed.A numerical simulation shows the effectiveness of the approach.

Organizational Change and Dynamics of Control： An Analysis of Italian Call Center Workplace

The main goal of the paper is to interpret the concept of organizational change in the perspective of critical management studies, by analyzing both the discourses and the control practices used by management. We aim at denaturalize the concept of change related to transition from a bureaucratic model to a professional （post-bureaucratic） model of the call centers organizational design, showing how these discourses and practices reproduce control systems. For this purpose, two cases study of call center outsourced industry are presented. On one hand, we emphasize the bureaucratic nature of call center A associated with standardization of processes and products and where work is highly controlled and routinised. On the other hand, we observe a different image of call center： call center B can be described as a place where work is customized, workers are considered key resources with higher competences and skills that are able to give customers unique solutions and to give answer to complex questions. We suggest that these ＂new practices＂ and ＂new organizational approaches＂ are merely illusions of change. We argue that in professional model （call center B）, control institutionalized through technology is strengthened and deepened by the use of post-bureaucratic control in shaping organizational behaviors, reproducing a Panopticon structure both in terms of electronic surveillance and in terms of behavioral （self） regulation and discipline

DSP ＆ FPGA-based control architecture for a highly integrated robot hand with enhanced impedance performance

A novel control system is developed to improve the capabilities of robet hand performing tasks in a variety of environments. A joint impedance control strategy has been successfully implemented in the low level control of a highly integrated robot hand. At flint, a real time controller with DSP＆FPGA-based multilevel control architecture is built. Then a current sensor of the single direct current （DC） link is used to measure and reconstruct the three phase currents, and a stable current signal is measured by optimizing sample instant. The experimental results of the joint impedance control show that the proposed method not only improves the effectiveness of contact environment performance, but also provides compliant interaction of robot hand with a person, which is very important for the development of friendly human robot of the next generation.

On the mechanism of coal mine safety monitor based on game analysis

Analyzed the monitor results under current systems concerning game and then pointed out that a way-out to improve chinese coal mine production safety control is to implement system innovation and punish the monitor＇s lazy behaviors strictly.

Temperature and Humidity Control System Identification Based on Neural Network in Heating and Drying System

Artificial neural network has unique advantages for massively parallel processing, distributed storage capacity and self-learning ability. The paper mainly constructs neural network identifier and neural network controller for system identification and control on temperature and hmnidity of heating and drying system of materials. And the paper introduces the structure and principles of neural network, and focuses on analyzing learning algorithm, training algorithm and limitation of the most widely applied multi-layer feed-forward neural network （ BP network） , based on which the paper proposes introducing momentum to improve BP network.