MLPO(Multi-Level Progressive Order Method) and TES(Tripe Exponential Smo-othing Method)are used to predict the gross output value for short and long termindustrial and agricultural productions of a prefectural county.

To overcome this problem and in accordance with the time variation environment, a prediction method of multiple layer progressive order based on self-adaptive forecasting theory is stated in the paper.

The description method of hybrid dynamic system based on progressive order model is studied. In accordance with the startup procedures of chemical production, a progressive order model structure composed of coordinated layer and monitoring layer is established. Based on dynamic characteristics of each layer concrete description is given accordingly by using timed Petri net and hybrid Petir net.

The paper bases on theory and method of big system, it applies a increasing order model in agricltural planning first time and sets up a model on disposal of resources for planting in Gansu, this new system has been proved to be quite ideal and effective

Based on Grey Model of the whitening interpolation, using the method of the Grey increasing order evaluation's dynamic interpolation to insure the characteristics of the long term's dynamic interpolated measuring data is gived.

The fuzzy three-stage increasing order model for comprehensive assessment that can assesses the indexes,the criterion and the goal respectively, has been correspondly established.

For the known classic Ramsey numbers,the Ramsey graphs of R(3,3),R(3,4),R(3,5),R(3,6),R(3,7) and R(3,8) can be constructed by the method of recursive generation.

Based on the catastrophe thought in systems science,the paper studies the application of catastrophe model in logistics partner selection decision,builds up the relevant evaluation method and steps and compares it with AHP in a simple case.

The method includes judging borderlines of the block virtual surface model, calculating the joints, confirming the above block, and using the block hierarchical layout to create the skeleton model.

A peer-to-peer hierarchical replica location mechanism (PRLM) was designed for data grids to provide better load balancing capability and scalability.

Natural forest conservation hierarchical program with neural network

This paper analyzes the capacitated lot-sizing problem considering an individual machine's production capacity using a two-layer hierarchical method to minimize the sum of the dynamic inventory cost and the overtime penalty cost.

Hierarchical memory and hierarchical parallelism will be two very important features that should be considered in future model design and research.

It is shown that for conservative scattering by the particle surface, the contribution of higher-order scattering decreases with increasing order number, which is related to the shadow-hiding effect.

We describe a natural strategy to enumerate compact hyperbolic 3-manifolds with geodesic boundary in increasing order of complexity.

The higher the polarity of the solvent, the higher the reduction rate; in passing from toluene or CCl4 to 1,2-dichloroethane, the reduction rate increases by one order of magnitude, following the increasing order of dielectric constants.

The iodides are grouped according to the cation valence and are arranged in the increasing order of the cation polarizing powers (CPPs).

The increasing order of the rates of the metal-exchange reaction between protoporphyrins and cobalt chloride in acetonitrile is established.

In the first part of this paper, some features of the process control com-puter system of a hot mill plant are introduced. The system has been set upa two- level hierarchical computer network, which manipulates about 300closed control loops and controls whole process from the reheating zone tothe coiling zone. Some reviews on system architecture, finishing roll controlalgorithms and process control softwares are presented. In the second part,some outlooks on the pyramid type of network system as concerns the...

In the first part of this paper, some features of the process control com-puter system of a hot mill plant are introduced. The system has been set upa two- level hierarchical computer network, which manipulates about 300closed control loops and controls whole process from the reheating zone tothe coiling zone. Some reviews on system architecture, finishing roll controlalgorithms and process control softwares are presented. In the second part,some outlooks on the pyramid type of network system as concerns the arran-gement of control means, the systsm architectures and its reliabilities, theresponse speed and the control algorithms are paid in comparison with thedistributed computer network. An attempt has been made to indicate that,although there exist more outstanding merits on the system as stated above,it is still necessary to give the development in our future design.

In this paper, the (status of) several problems of hierarchical control are surveyed. The contents of this paper are as follows: In section Ⅰ, the auxiliary problem and relaxation principle which are based on infinite-dimensional programming are discussed in detail. By these two principles, a unified apprach is formed, which can be used to derive several basic decomposition-coodination algorithms. In section Ⅱ, the hierarchical method are used to obtain the closed-loop optimal control laws of linear and nonlinear...

In this paper, the (status of) several problems of hierarchical control are surveyed. The contents of this paper are as follows: In section Ⅰ, the auxiliary problem and relaxation principle which are based on infinite-dimensional programming are discussed in detail. By these two principles, a unified apprach is formed, which can be used to derive several basic decomposition-coodination algorithms. In section Ⅱ, the hierarchical method are used to obtain the closed-loop optimal control laws of linear and nonlinear systems; the on-line hierarchical control of the steady-state systems is also discussed. In section Ⅲ, the Stackelberg strategies applied to hierarchical control are surveyed. In section Ⅳ, two algorithms of state estimation for hierarchical systems are derived.

The large scale system is a kind of multi-variable system characterized by having a very large number of variables.The application of conventional parameter estimation methods for multi-input and multi-output systems to large scale system are almost impossible,because the computation requirement due to high dimensionality is so tremendous that it should be hard to carry out.This is the difficulty to be surmounted or bypassed when one tries to identify a large scale system.A review of various methods tractable...

The large scale system is a kind of multi-variable system characterized by having a very large number of variables.The application of conventional parameter estimation methods for multi-input and multi-output systems to large scale system are almost impossible,because the computation requirement due to high dimensionality is so tremendous that it should be hard to carry out.This is the difficulty to be surmounted or bypassed when one tries to identify a large scale system.A review of various methods tractable to those problems are introduced hereby.Conceptually,these methods fall into two catalogues,i.e.simplification and decentralization.The simplification procedures for parameter estimation of large scale system are based on perturbation techniques.The decentralization approaches are realized by hierarchical structure methods.They will give either the on-line estimates with the aid of distributed computing system or the off-line estimates with a minicomputer when such a system is unavailable.The discussion involves perturbation theory,hierarchical system theory extended Kalman filter,maximum a posteriori estimation,some iterative methods and recursive methods etc.The emphasis are,however,placed on the conceptual developments.In the conclusion,the advantages and disadvantages of different approaches together with a perspective of future development are discussed.