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Minor component analysis (MCA) is an important feature extraction technique which has been widely applied in data analysis fields. MCA neural networks generally are used to extract online minor component in term of adapting the demands of real time and decreasing computational complexity. However, the MCA learning algorithm can produce complicated dynamical behavior under some conditions, such as...
This paper is devoted to study the problem of a partially dependent predator-prey model with time delay. The effect of delay on the stability of the interior positive equilibrium is investigated, and the conditions for existence of Hopf bifurcations are given. Finally, numerical simulations are carried out to illustrate our analytical results, the largest Lyapunov exponent is computed, and the chaotic...
The supermarket refrigeration system typically has a distributed control structure, which neglects interactions between its subsystems. These interactions occasionally lead to a synchronous operation of the display-cases, which increases both energy consumption and deterioration of components. This is by all mean to be avoided. The paper focuses on synchronization dynamics of the refrigeration system...
One stochastic nonlinear dynamical model has been proposed to describe the vibration of flexible beam under axial excitation considering the influence of the environment random factors. Firstly, the model has been simplified applying the stochastic average theory of quasi-integral Hamilton system .Secondly, we utilize the methods of Lyapunov exponent and boundary classification associated with diffusion...
DC-DC Converters have been reported as exhibiting a wide range of bifurcations and chaos under certain conditions [2]. This paper analyses the bifurcations in current controlled SEPIC and boost topologies operating in the continuous conduction mode by means of a discrete time model. Stroboscopic mapping is used to investigate possible bifurcation phenomena that periodic-1 orbits can undergo bifurcation...
In this paper, a new research for semi-active suspension system of vehicle is proposed. Assuming the stochastic excitations are Gauss white noises, we establish a stochastic model on semi-active suspension system. Here we consider two kinds of stochastic excitations: one is the inner multiplicative excitation brought by the inner system such as the spring and damper, the other is the outer excitation...
Aiming at strong nonlinearity and complexity of higher order switching converters, an integrative modeling method was proposed by integrating the state-space average modeling approach with the discrete-time modeling approach, based on which, stability analysis of current-mode controlled higher order switching converters was carried out, and the relation between the stability and the circuit parameters...
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