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In this paper, a stochastic hybrid genetic networks model is proposed. By taking into account the structure variations at discrete time instances during the process of gene regulation, its robust stochastic stability with intrinsic and extrinsic noises is then addressed from stochastic system point of view. The sufficient stability condition for the hybrid genetic networks could be easily facilitated...
In this work, we propose a two-dimensional model of opinion dynamics, in which two agents are neighbors if one of their opinion values is within a confident level. We present elementary consensus analysis that reveals the basic characteristics. The consensus threshold under uniform probability distribution is analyzed by means of numerical simulations. Comparison is made between the model and the...
This paper presents an overview of the Central Pattern Generator (CPG) based control models as well as their applications to various multi-joint or multi-DOF robots. The motivation is to provide a relevant and practical guide to the existing literature for engineers with an interest in the emerging CPG-based biocybernetics approach. The CPGs function as a biological neural network with the great capability...
In this article, the author designs a Parrondo's game model of biotic population with the BA scale-free network as its spatial carrier, trying to analyze the individual's competitive and cooperative behaviour. The populational Parrondo's game model includes zero-sum games among individuals and the negative sum-up games between individuals and environment. In terms of zero-sum game relations, four...
The rational allocation of medical resources, purchase and renewal of medical equipment are very important in the management of medical equipment. In this paper, the fuzzy synthetic evaluation and analytic hierarchy process were introduced. Based on FAHP, an evaluation model was proposed to evaluate the allocation of medical resources. For the medical equipment that would be purchased and renewed,...
Recently, the nonlinear dynamics and chaos phenomenon of many neuron models have been studied. This paper provides a global picture of the bifurcation scenario of the Hindmarsh-Rose model and studies one point of every scenario. We use chaotic method to analyze phase plot, nullclines, entropies and dimensions of the chaotic point, from which we might find some useful mechanisms to understand the characteristics...
As one of the future most popular vehicles, Hybrid Electric Vehicle has to satisfy the challenging and often conflicting requirements. Environment concerns have motivated the legislated action by government around the world to reduce nocuous emissions. The requirements for reduction of CO2 need a high fuel economy. The people's demands for low cost and efficient require a high reliability control...
Coal ball mill pulverizing system is a multiple-input multiple-output (MIMO) system characterized with strong couplings and disturbances. In the coal ball mill control system, the three loops possess different dynamics with remarkable lag times. In this paper, we proposed a mixed control scheme based on loop priority (namely the outlet temperature loop, the inlet pressure loop, the pressure difference...
When ensuring electric power system to supply power safely and reliably, economic and social benefit are very good which hydropower station economic operation brought. But selecting the optimal combination model of unit is a high-dimension, discrete, non-convex and non-linear optimization problem, so it is very difficult to obtain optimal solution from theory. According to similarity between hydropower...
In the current US day-ahead electricity markets, auction is complicated because of the existence of both discrete variables and continuous variables, which implies that there may be no linear prices to support equilibrium. To meet the system demand, the Independent System Operator (ISO) uses lump sum “uplift payments” to make generators follow its schedule. However, these uplift payments are opaque...
Many factors such as the type and the orientation of capsule antenna, the position of the capsule antenna in gastrointestinal tract, the dielectric properties of human body tissues and so on can influence the radiation characteristics of Ingestible Wireless Devices (IWDs). This paper analyses the uncertainty of the radiation characteristics of IWD and how these factors influence the performance of...
According to various reports, E-business has developed rapidly in China. Under this circumstance, firms should consider whether they need to shift to the E-supply chain environment from the traditional supply chain. In this paper, literature on supply chain coordination are reviewed firstly, then profit function of individual firm of the supply chain and the whole supply chain are modeled, concerning...
A RBF (Back-Propogation) neural networks based feature is applied to the target recognition, which aims at only recognition of the target feature and searches the hyperplane of the local space taking the target feature as center. The classifier integrates the target feature with RBF ANNs. It evaluates importance of each sample to the target feature by using expected output of the dynamic ANNs training...
Accurate forecasting of some economic indicators such as GDP is very useful. Aiming at the problem of modeling and forecasting of the nonlinear and complex economic system, an improved least square support machine model is proposed in this paper. A multi-scale chaotic search algorithm combined with GA is proposed for the optimum selection of model parameters. Time series data of the indicator to be...
Inspired by cooperative transport behaviors of ants, on the basis of Q-learning, a new learning method, Neighbors' Discounted Information (NDI) learning method, is present in the paper. This is a swarm-based learning method, in which principles of swarm intelligence are strictly complied with. In NDI learning, the i-interval neighbor's information, namely its discounted reward, is referenced when...
In order to solve the problems of slow convergence and high complexity in dealing with large number of samples when modeling a bioprocess soft sensor using SVR, an improved PSO is used to solve the quadratic optimization problem to determine support vectors and the weights of them in this paper. By introducing constraint relationship in parameters, PSO could converge to the optimal point faster. Simulation...
It is well known that in Barrat-Barthélemy-Vespignani (BBV) model, the rearrangement of weights is local. In this paper, we present a novel weighted evolving network model that allows the flows to be widely updated. This model gives power-law distributions of degree, weight and strength, as confirmed in many real networks. Particularly, the exponents are nonuniversal and depend on a parameter that...
Under the stochastic demand, power supply chain of master-slave mode and trade union mode consisting of power suppliers and the electricity retailers are modeled and analyzed, and the latter mode is proved to gain higher overall profits. Meanwhile, in order to solve the problem of profit maximization and energy-saving, an optimization algorithm for unit commitment is presented. In addition, an approach...
To study the dynamic development mechanism of used productions recovery logistics network, categories and characteristics of used productions are analyzed aiming at manufacturing companies, recovery network with multi-layer is designed, and a system dynamics model with “social-economic-logistics” triple properties is established based on system dynamics theory. A simulation which takes used mobile...
The paper presents a novel Uncertain Cost-Revenue (UCR) model based on Fuzzy Multiple Attribute Hierarchical Macro-Location model (FMAHML) of Logistics node, which uses “bounded rationality”, “bounded memory” and “group decision making” methods with multi-resolution technology. It is integrated with multiple attribute decision making, fuzzy decision making, Analytic Hierarchy Process (AHP) and Delphi...
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