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For a class of nonlinear discrete time system with fast time-varying or jumping parameters, a multiple models adaptive controller (MMAC) based on cluster-optimization is proposed. Based on the input-output data, the sample data are classified into several clusters by the fuzzy kernel clustering adaptive algorithm. Then the local models can be constructed corresponding clusters by the least square...
Combination-boom is a kind of large scale boom with non-uniform sections, which will generate large deflection in the loading cases. As for that, auxiliary bracing is necessary. Using FEM software, an optimization strategy has been proposed. Firstly, based on equivalent inertia moment method, the boom system can be simplified, after that a model of boom system would be set up. Secondly, with different...
This paper puts forward a modeling approach for oscillating series based on an optimized grey power model with first-order one-variable (abbreviated as GPM(1,1). An optimization method is used to determine the initial value in GPM(1,1) model, and furthermore, the parameters in the model are optimized by utilizing a non-linear programming model. The results show that the modeling approach proposed...
System emulation provides a new solution for software migrating on heterogeneous platform. As one of the important components of system emulation, memory emulation directly affects the performance of system. This paper presents a universal emulation model of IA-32 memory management with Software MMU, virtual TLB and virtual MMIO. And an IA-32 memory management emulator prototype is implemented successfully...
In recent years, the total variational model proposed by Rudin, Osher and Fatemi (ROF) has been often used in image restoration. As the numerical iterations increase, ROF model may produce the staircase effect while deblurring the noise effectively. Another fourth-order PDE model proposed by Lysaker, Lundervold and Tai (LLT) can protect more the fine image textures, but its deblurring result and boundary...
A new method for optimization control problem based on generalized work principle of optimal control principle is presented. The method of estimating mathematical model with the more precise ballistic parameters is obtained. So solution to optimum control of a non-linear system by criterion of generalized activity is introduced. A universal computing method in construction of optimum control MLRS...
It's very important to find an efficient method of secret key management to guarantee secure communication in wireless sensor networks. In this paper, a cluster-based dynamic secret key management scheme has been proposed. A pairwise key has been established through OR and XOR operations in this scheme since its low energy and limited memory space of a sensor node. These OR and XOR operations not...
According to the basic theory of grey system correlation space, a type of new grey incidence degree model is constructed by starting from the perspective of n dimensional linear space. This paper makes a research about some properties of the incidence degree and compares this incidence degree with Deng's. Results indicate that this incidence degree has the same properties with Deng's; and it also...
A fuzzy model based on support vector regression (SVR) and particle swarm optimization (PSO) for the property prediction of heat treatment process of alloy steels is presented in this paper. First, a SVR model is built and the parameters of SVR are optimized by using the grid optimization algorithm, a set of equivalent fuzzy IF-THEN rules is generated from the obtained support vectors, then PSO is...
An approach of retrieving district evapotranspiration was studied by using remotely sensed biomass products in the Junchuan Farm of the Northeast of China. Based on the crop management practices of the Junchuan Farm, key soil and crop canopy parameters were applied to develop a biomass model for retrieving district evapotranspiration. Using the mass of dry matter on ground, apportionment coefficient...
Network operation complexity model is proposed in this paper. This model includes nested system model, operation process model and quantitative indicator model. Then, a normalization treatment method of indicator data is put forward. After constructing a network system in the laboratory, we apply the model to the operation process of network and obtain complexity indicator value through measuring...
Mobile Agent Technology covers migration mechanism, communication facilities and security system, of which migration mechanism, functioning as the basic and core technology, supports agents to roam and execute consecutively on the network. The thesis analyzes the inner-relation of migration mechanism, and proposes the designing of Agent Transparent Migration based on Type Inference, so as to design...
Risk evaluation intelligent decision support system of urban gas pipeline is supposed to do risk evaluation on the whole system of urban gas pipelines. Based on the risk evaluation theory and took intelligent decision support system as a core, embedding the development model of geographical information system (GIS), it builds a general framework of intelligent decision support system under the GIS...
This paper deals with a problem of turbine engine fault detection in dynamic process by using LPV mathematical model to exactly describe turbine engine dynamic characteristics, eliminate the effects of modeling error. Design robust fault detection filter (FDF) with eigenstructure assignment and realizes disturbance de-coupled with model uncertainty. The simulation results of turbine engine control...
Controlling of neutralization processes is a classical problem beyond many common control techniques available today due to their strong nonlinearity and extreme sensitivity to disturbances. This paper proposes an adaptive fuzzy control scheme for wastewater neutralization process control. A standard Mamdani type fuzzy system is constructed to describe the nonlinearity of the process and the parameters...
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