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This paper aims to develop a hierarchical framework for demand-side frequency control. The framework involves two decision layers. The top layer determines a control gain for the aggregated load response on each bus using robust decentralized control theory. The second layer involves a large number of devices, which switch probabilistically during contingencies so that the aggregated power change...
Demand Response is playing an increasingly important role in smart grid control strategies. Modeling the dynamical behavior of a large population of appliances under demand response is especially important to evaluate the effectiveness of various demand response programs. In this paper an aggregate model is proposed for a class of second-order Thermostatically Controlled Loads (TCLs). The model efficiently...
In this paper, the three active components in Scutellaria Extract were rapidly determinate by near-infrared reflectance spectroscopy (NIRS). 100 samples of Scutellaria Extract from 12 different pharmaceutical factories were divided into a calibration set (80 samples) and a validation set (20 samples). In combination with the partical least square (PLS), the quantitative calibration models were established,...
In this paper, the nonlinear dynamics modeling of an axially moving cantilever rectangular laminated composite plate excited by aerodynamic force were studied for the first time. The major results of this paper as following: Firstly, based on the third-order shear deformable plate theory, the nonlinear governing equations of motion for an axially moving cantilever rectangular laminated plate were...
Internet core routers are facing challenges brought by the ever-increasing transit bandwidth and routing scale. In order to meet the requirements of highly efficient packet forwarding, some solutions propose to load a small portion of the BGP RIB entries into the FIB. Therefore the most popular prefixes, which contribute major traffic loads, need to be cached in the FIB as long as possible. In this...
There are some small-sample cases in economic forecast, for lacking of quantitative information, in which it happens that some given forecasting method fits well while behaves badly in forecasting, while to the contrary, the situation behaves well when we make the combination of both qualitative and quantitative methods in forecasting. The concept of risk of forecasting is defined, as well as the...
Estimating the vehicle side slip angle using the signal of the current sensors on-board is very important for the Vehicle Dynamic Control systems and an estimation algorithm is proposed in this paper. This algorithm which can meet the requirement of real-time and nonlinearity is based on a nonlinear observer that contains a modified Dugoff tire model. At first, the longitudinal and lateral forces...
The mathematic models of once-through steam generator and turbine are built based on the mass, energy and momentum conservation theorem. Because of serious coupling and different dynamic characteristic, multi-variable fuzzy predictive control system is presented in order to improve the control characteristic of the nuclear power plant's secondary system, which is based on integrated model of the nuclear...
A neuron model-free control method with fuzzy gain scheduling is presented in this paper. A single neuron is designed to produce control signal in model-free way, and the gain of the neuron controller is tuned by Takagi-Sugeno fuzzy scheme. Simulation tests of a hydraulic turbine generator working under different operating conditions are made. The results show good performance and strong robustness...
In this paper, we present a dynamic load-balancing algorithm for optimistic gate level simulation making use of a machine learning approach. We first introduce two dynamic load-balancing algorithms oriented towards balancing the computational and communication load respectively in a Time Warp simulator. In addition, we utilize a multi-state Q-learning approach to create an algorithm which is a combination...
As proscribed by Moore's law, the size of integrated circuits has grown geometrically, resulting in simulation becoming the major bottleneck in the circuit design process. Parallel simulation provides us with a way to cope with this growth. In this paper, we describe an optimistic (time warp) parallel discrete event simulator which can simulate all synthesizeable Verilog circuits. We investigate its...
As a consequence of Moore's law, the size of integrated circuits has grown extensively, resulting in simulation becoming the major bottleneck in the circuit design process. In this paper, we examine the performance of a parallel Verilog simulator on large, real designs. As previous work has made use of either relatively small benchmarks or synthetic circuits, the use of these circuits is far more...
Aim at electro-hydraulic servo system of the motorcycle fatigue test rig, a new fatigue simulative time domain control technique was putting forward by analyzing the basic principle and the structure characteristic of the motorcycle fatigue test rig. A multilevel hierarchical fuzzy controller is designed to control the test rig to track the anticipant input signals and come true the real time control...
We developed a 3D parallel full band Monte Carlo simulator for semiconductor devices. This enables us to simulate 3D devices on high performance multiprocessor machines. By utilizing the JASMIN software package, parallel execution issues such as processors communication, grid partitioning and load balancing are handled easily and efficiently. The 3D MC simulator is validated by comparing its results...
This paper presents the method of multivariable integrated model predictive control for the nuclear power plant, including designing controller and building the modeling of turbine and once-through steam generator. The simulation results show that the rotate speed of turbine and outlet pressure of steam generator under the multivariable integrated model predictive control is faster steady and smaller...
The hybrid control method is proposed to the helicopter rotor concordant load system. Based on establishing the mathematical model of concordant load system, a new extraneous force decoupling control method is proposed. In our approach, the load actuator piston position is used as input signal of decoupling controller. Meanwhile, a new nonlinear self-tuning PID controller is also proposed, which can...
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