Fractional order Chebyshev-like low-pass filters based on integer order poles
Chebyshev filter is one of the most commonly used prototype filters that approximate the ideal magnitude response. In this paper, a simple and fast approach to create fractional order Chebyshev-like filter using its integer order poles is discussed. The transfer functions for the fractional filters are developed using the integer order poles from the traditional filter. This approach makes this work the first to generate fractional order transfer functions knowing their poles. The magnitude, phase, step responses, and group delay are simulated for different fractional orders showing their
Circuit Theory and Applications
Single transistor RC-only second-order allpass filters
Fractional-order DISPR model for the AIDS epidemiological dynamics
Modeling epidemiological dynamics of AIDS infection is an indispensable method to track the spread of such fatal disease. In this paper, the Differential Infectivity and Staged Progression Model, DISP, is modified to include the possibility of recovery, hence the new proposed model is called the DISPR model. The DISPR model is also generalized to the fractional order domain to allow more flexibility. In order to compare, both models are tested on the same sample of population. The DISPR model is proved to be valid by predicting the same behavior of the DISP model and real epidemiology
Circuit Theory and Applications
Control and synchronization of fractional-order chaotic systems
The chaotic dynamics of fractional-order systems and their applications in secure communication have gained the attention of many recent researches. Fractional-order systems provide extra degrees of freedom and control capability with integer-order differential equations as special cases. Synchronization is a necessary function in any communication system and is rather hard to be achieved for chaotic signals that are ideally aperiodic. This chapter provides a general scheme of control, switching and generalized synchronization of fractional-order chaotic systems. Several systems are used as
Circuit Theory and Applications
Control and synchronization of fractional-order chaotic systems
The chaotic dynamics of fractional-order systems and their applications in secure communication have gained the attention of many recent researches. Fractional-order systems provide extra degrees of freedom and control capability with integer-order differential equations as special cases. Synchronization is a necessary function in any communication system and is rather hard to be achieved for chaotic signals that are ideally aperiodic. This chapter provides a general scheme of control, switching and generalized synchronization of fractional-order chaotic systems. Several systems are used as
Circuit Theory and Applications
Fully integrated fast response switched-capacitor DC-DC converter using reconfigurable interleaving
A novel double-bound hysteretic regulation scheme to control multi-phase interleaved Switched-Capacitor DC-DC converters is presented. The control scheme adjusts the number of interleaved phases with the SC converter's switching frequency to significantly reduce the required operating frequency of the control comparator, enabling the practical application of hysteretic control with large number of interleaved phases. A 16-phase 2:1 SC converter is designed in 65-nm TSMC low-power CMOS process using the proposed technique. The converter with the new hysteretic control achieves fast dynamic
Circuit Theory and Applications
Amplitude modulation and synchronization of fractional-order memristor-based Chua's circuit
This paper presents a general synchronization technique and an amplitude modulation of chaotic generators. Conventional synchronization and antisynchronization are considered a very narrow subset from the proposed technique where the scale between the output response and the input response can be controlled via control functions and this scale may be either constant (positive, negative) or time dependent. The concept of the proposed technique is based on the nonlinear control theory and Lyapunov stability theory. The nonlinear controller is designed to ensure the stability and convergence of