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Compared to traditional networking, SDN has better controllability and visibility for network components, which enable better management by using the common controller. In this article, the standard architecture of SDN is enhanced to utilize UAVs as on-demand forwarding switches. The proposed approach can achieve efficient management and fast handovers by decreasing the handover latency, E2E delay,...
In this paper our first achievements are reported on application of input command shapers for control of quadcopters with suspended load. Simulation results are presented for a free 2DoF quadcopter. The flight control system, consisting of two PID controllers and of a static nonlinearity mapping the propellers thrusts to particular degrees of freedom, is augmented by input shapers in the feedforward...
This paper provides simulation practitioners and consumers with a grounding in how discrete-event simulation software works. Topics include discrete-event systems; entities, resources, control elements and operations; simulation runs; entity states; entity lists; and their management. The implementations of these generic ideas in AutoMod, SLX, ExtendSim, and Simio are described. The paper concludes...
Software Defined Networking is a novel network architecture, which separates data and control plane by OpenFlow. The feature of centralized control to acquire and allocate of global network resource. So, the link load-balancing of SDN is not as difficult as the traditional network. This paper proposes a link load-balancing algorithm based on Ant Colony Optimization(LLBACO). The algorithm uses the...
In this paper, a mathematical modeling of the flue gas path system with closed-loop controller for wet desulfurization with lime in Mae Moh coal power plant, Thailand is presented. The modeling using various polynomial structures and the parameter identification of the plant, the controller and the sensor are performed with the emphasis on the plant. Since the goal is to predict the operating condition...
This paper provides simulation practitioners and consumers with a grounding in how discrete-event simulation software works. Topics include discrete-event systems; entities, resources, control elements and operations; simulation runs; entity states; entity lists; and their management. The implementations of these generic ideas in AutoMod, SLX, ExtendSim, and Simio are described. The paper concludes...
This paper addresses control and scheduling codesign problem for multiple control loops sharing a common communication and computation medium, known also as networked embedded control system (NECS) in literature. Besides the limited communication medium, physical limitations on control inputs and/or states are considered as well. To avoid unnecessary use of the limited communication medium, each control...
In the paper an application of IMC structure for electric drive with variable mechanical parameters is presented. The mechanical parameters changing as a function of motor shaft angle. The control system was used a neural inverse model trained on line by the modified algorithm RPROP. The collected results of simulation and experiment confirm the proper operation of the control system.
A two-degree-of-freedom control scheme is proposed for enhanced control performance of integrating and unstable processes with time delay. The two controllers in the scheme are well placed to tune from the setpoint and disturbance. The design steps of these two controllers are independent. The H2 optimal control method is used to design the set-point tracking controller and an optimal internal model...
A two-degree-of-freedom control scheme is proposed for enhanced control performance of unstable processes with time delay. The two controllers in the scheme are well placed to tune from the setpoint and disturbance. The design steps of these two controllers are independent. The H2 optimal control method is used to design the set-point tracking controller and an optimal internal model control (IMC)...
The vehicle control system based on Network communication becomes increasingly complicated recently. The traditional research only focuses on the improvement of network communication quality or system control performance. The network configuration had been carried out to study the vehicle chassis integrated control system. Based on the MATLAB/Simulink and TrueTime Toolbox, the distributed CAN network...
Large-scale Generating Unit in heat power is a system which is complex nonlinear, multivariable, time-variant with long-time delay and difficult to establish accurate model, and etc. So it is hard to make system gain optimum running effect with conventional control strategy. A PID network which has dynamic character is used to identify the coordinated control system for establishing a predictive model...
Active queue management (AQM) at routers can effectively control the queue length while keeping high throughput of routers. In this paper, a new AQM algorithm called Hang algorithm based on a modified Smith predictor is proposed. Theoretic analysis and extensive simulation shows that the developed control scheme is effective in dealing with transmission delay and other uncertainties. Comparison with...
Considering the characteristics of time delay, time variables and variable operation condition in process control system, The partial models are built based on the different operating points integrating fuzzy membership function with weighted sums to improve the traditional internal model control(IMC), and the fuzzy membership functions are obtained by recursion identification method. Then multiple...
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