This paper investigates the synchronization and anti-synchronization behaviour of two identical double-hump Duffing-Van der Pol oscillator (DHDVP) evolving from different initial conditions using the active control technique based on the Lyapunov stability theory (LST) and the Routh-Hurwitz criteria (RHC). The designed controllers, with three different choices of the coefficient matrix of the error dynamics that satisfy the LST and RHC, are found to be effective in the stabilization of the error states at the origin, thereby, achieving synchronization and anti-synchronization between the states variables of two DHDVP oscillators. Interestingly, one of the choices leads to a single control function, thereby, reducing controller complexity for easy implementation. The results are validated by numerical simulations.

The control problem of a novel hyperchaotic system is investigated. The linear, speed, nonlinear, nonlinear doubly-periodic function feedback controls are used to suppress hyperchaos to unstable equilibrium. Limit cases of doubly-periodic function are considered and the hyperbolic function and trigonometric function feedback control laws are derived. The Routh–Hurwitz criterion is applied to study the conditions of the asymptotic stability of the controlled hyperchaotic system. Based on Matlab program, numerical simulations are presented to demonstrate the effectiveness of the proposed controllers.

Ant algorithm optimization is used to solve a general class of optimal control problems with single input control. The discretized form of the optimal control problem is converted to a quasi quadratic assignment problem in the time-control space. By applying the ant optimization algorithm on this problem, a piece-wise constant approximation is obtained for the optimal control. Implementation of the method and numerical results are also discussed.

Non-polynomial spline in off step points is used to solve fifth-order linear boundary value problems. Associated boundary formulas are developed. We compare our results with the results produced by B-spline method [10] and Non-polynomial spline and quartic spline method [11, 12] and [14]. However, it is observed that our approach produce better numerical solutions in the sense that max ie is a minimum.

As a supplement of current wired gas monitoring system, wireless sensor network can be used to cover the blind area, and to diagnose the faults of wired system. The concept of novel chain-type wireless sensor network (NCWSN) for gas monitoring in coal mine with multi-sections is defined. The connectivity of NCWSN is considered too. To focus on gas monitoring, the advantages of NCWSN for gas monitoring are introduced first, then two energy-efficient methods are adopted in gas monitoring NCWSN which are node scheduling and data fusion. The scheme of node scheduling can keep balance of the energy cost by transmitting energy distribution frame in certain section. The scheme of data fusion can reduce transmission data bits by adopting fuzzy sets. Finally, performances of NCWSN are investigated including energy efficiency and network capability. It is shows that energy efficiency is improved to double by adopting node scheduling and data fusion. In addition, it is important to keep the balance among energy cost, network capability and detection precision by choosing appropriate number of sections.

TAbstract.T The private information of enterprises is a bottleneck to enterprises’ cooperation. Enterprises often analyze cooperatively their consumers’ information, but laws and their image require enterprises to protect consumers’ information. To resolve the conflict between information-sharing and information- protecting, a privacy preserving classification method with distributed private information is proposed. We uses the Warner model to hide the true private enumerative data of enterprises’ consumers information. Then we introduces how to get the exact classifying result on the disturbed data and analyze the method’s accuracy and privacy in theory. In the end, the method’s feasibility and validity is proved by experiments.

In this paper we consider a numerical approach for the determination of an unknown boundary condition in the inverse heat conduction problem (IHCP). The given heat conduction equation, the boundary condition, and the initial condition are presented in a dimensionless form. The numerical algorithm based on finite-difference method and the least-squares scheme for solving the inverse problem. To regularize the resultant ill-conditioned linear system of equations, we apply the Tikhonov regularization method with L- curve scheme to obtain the stable numerical approximation to the solution.

Abstract.This paper presents a novel model reference adaptive control algorithm based on fuzzy neural network. This widely used method is utilized to adjust the parameters on line. The fuzzy neural network sliding mode controller,which integrates the fuzzy neural network with sliding mode controller, is put forward to control some weapon servo system with model uncertainties and parameters variation. Because this proposed algorithm combines excellences of FNN and sliding mode control, it has the ability to eliminate the drawbacks of traditional SMC, i.e. the chattering in the control signal and needing knowledge of bounds of uncertainties. Simulation results verify this proposed algorithm can reduce the plant’s sensitivity to parameter variation and disturbance.

We study stability of positive stationary solutions to the system of boundary value problem of the form

This paper introduces an idea for image compression; consist from two parts; the first part used single stage Discrete Wavelet Transform (DWT), which produces four sub matrices; LL, HL, LH, and HH. The two sub matrices HL and LH are merged to be one matrix "Merged - Matrix", and store non-zero data in array "Non-Zero-Array", then compress it by RLE and Arithmetic coding. In the second part the sub-matrix LL coefficients converted into data at range {0…80}, LL sub matrix used by Shift Number Coding (SNC), this algorithm converts each four data into single floating point number, which stored in one dimensional array "SNC-Array", finally apply arithmetic coding on it. Our approach compared with JPEG, and JPEG- 2000, by using compression ratio and PSNR.