Yu Juebang

Fuzzy Modeling and Impulsive Control of a Memristor-Based Chaotic System

We mainly investigate the issues of fuzzy modeling and impulsive control of a memristor-based chaotic system and present a memristor-based chaotic system as the Takagi–Sugeno model-based fuzzy system. Then, based on the impulsive control theory of dynamical systems, a criterion ensuring impulsive stabilization of the memristor-based chaotic system is derived for the first time. An illustrative example is given to verify the effectiveness of the control scheme.

An application of genetic algorithms with guiding strategy in the design of digital filter

In this paper, an application of genetic algorithm with guiding strategy in the design of a stable 1D IIR digital filter is presented. The difference between traditional GA (genetic algorithm) and our modified GA is given in detail. A stable 1D IIR filter design example is given to justify the effectiveness and advantages of the proposed design method.

Impulsive control of nonlinear systems with time-varying delays

A whole impulsive control scheme of nonlinear systems with time-varying delays, which is an extension for impulsive control of nonlinear systems without time delay, is presented in this paper. Utilizing the Lyapunov functions and the impulsive-type comparison principles, we establish a series of different conditions under which impulsively controlled nonlinear systems with time-varying delays are asymptotically stable. Then we estimate upper bounds of impulse interval and time-varying delays for asymptotically stable control. Finally a numerical example is given to illustrate the effectiveness of the method.

Stability analysis of bidirectional associative memory with axonal signal transmission delays

In this paper, conditions for the existence of equilibrium points and global stability are emphatically discussed for Bidirectional Associative Memory(BAM) models with axonal signal transmission delays, and the discussed methods are more general. The correctness of obtained conclusions is verified by use of some examples. The obtained results have primary significance in the design and application of BAM.

Exponential stability of Takagi-Sugeno fuzzy systems with impulsive effects and small delays

This paper deals with the exponential stability of impulsive Takagi–Sugeno fuzzy systems with delay. Impulsive control and delayed fuzzy control are applied to the system, and the criterion on exponential stability expressed in terms of linear matrix inequalities (LMIs) is presented.

A Stream-cipher Slow-frequency-hopping Communication System

A Stream-cipher Slow-frequency-hopping Communication System is proposed, where the stream-cipher sequence is used not only to encrypt the information data, but also to generate frequency-hopping code, thus the stream-cipher slow-frequency-hopping communication system combines the merit of stream-cipher technology and the merit of frequency-hopping technology; a stream-cipher synchronization protocol based on timing is designed; simulation results demonstrated that the principle of the stream-cipher slow-frequency-hopping communication system is correct.

Stability Analysis and Design of Impulsive Control Lorenz Systems Family

Lorenz systems family unifying Lorenz system, Chen system and Lu system is a typical chaotic family. In this paper, we consider impulsive control Lorenz chaotic systems family with time-varying impulse intervals. By establishing an effective tool of a set of inequalities, we analyze the asymptotic stability of impulsive control Lorenz systems family and obtain some new less conservative conditions. Based on the stability analysis, we design a novel impulsive controller with time-varying impulse intervals. Illustrative examples are provided to show the feasibility and effectiveness of our method. The obtained results not only can be used to design impulsive control for Lorenz systems family, but also can be extended to other chaotic systems.

The generalized Battle-Lemarie wavelets

Starting with an investigation of the Haar scaling function, we introduce the scaling coefficient function. Then the Battle-Lemarie bases are extended to the generalized Battle-Lemarie bases by introducing a time-shift factor into the Battle-Lemarie scaling coefficient functions. The rationality of the presented extended method is theoretically proved, and some basic properties of the generalized Battle-Lemarie bases, such as orthonormality, time frequency localization, exponential decay features, and so on, are discussed. Meanwhile a series of neoteric symmetric multiresolution analysis bases is generated. The generalized Battle-Lemarie wavelets are better than the corresponding original Battle-Lemarie wavelets in regularity.

Stability control and analysis of asymmetric continuous neural networks

A new method for analyzing dynamics of continuous neural networks is proposed, and the necessary convergence conditions for a class of associative networks are obtained. Based on the stability criterion and the equations of equilibrium set of the network, synthesis of a class of associative neural networks is given. The stability control model of asymmetric unstable networks is suggested, which is also a valid way for optimization and dynamic control of stable neural networks.

The analysis of ACS spec. in WCDMA receiver systems

In this paper, we analyze the ACS specification and the reasons for 33dB in WCDMA systems, which is the minimal required value of ACS. The tests of the practical RF receive circuits is done under the condition that the 3 center frequencies are 2110 MHz, 2140 MHz and 2170 MHz respectively. The result is the level of the modulated interference signal is between -48 dBm and -42 dBm @ BER = 0.001, and the amplitude margin is between 3.9 dB and 9.2 dB, when the frequency offset from carrier is /spl plusmn/ 5 MHz. Obviously, it satisfies the -52 dBm requirements of 3GPP.