No abstract

The synchronization between fractional-order hyperchaotic systems and integer-order hyperchaotic systems via sliding mode controller is investigated. By designing an active sliding mode controller and choosing proper control parameters, the drive and response systems are synchronized. Synchronization between the fractional-order Chen chaotic system and the integer-order Chen chaotic system and between integer-order hyperchaotic Chen system and fractional-order hyperchaotic Rössler system is used to illustrate the effectiveness of the proposed synchronization approach. Numerical simulations coincide with the theoretical analysis.

In this paper, we bring attention to synchronization between a fractional-order chaotic system and an integer order chaotic system, which is very challenging because it can form a bridge between a fractional-order chaotic system and an integer order chaotic system. More specifically, we present a general form of a class of chaotic system, which can be synchronized between a fractional-order chaotic system and an integer order chaotic system. Furthermore, an example is carried out to verify and demonstrate the effectiveness of the proposed control scheme. Simultaneously, our work is supported by logical theorems and intuitive numerical simulation.

Hybrid Electric Vehicle (HEV) is considered as the most promising solution to energy crisis and urban air pollution. However, it is a complex electro-mechanical system which is difficult to construct an accurate mathematical model. Fuzzy logic seems to be appropriate for the HEV control problem. In this paper, a Fuzzy Logic Control Strategy (FLCS) is developed for a series hybrid electric vehicle designed for campus and gymnasium. Based on the State-of-Charge (SOC) of the batteries and the power information, the power required by the vehicle is split between the engine/generator set and the batteries instantaneously by the FLCS. The SOC of the batteries can be maintained always at a high level and the engine can steadily work in its high efficiency area. A forward simulation model for the vehicle is established, and both off-line and realtime simulations are performed. Simulation results show that the FLCS can realize constant SOC control, and fuel consumption and emissions are also considered by the FLCS.Index Terms -hybrid electric vehicle; control strategy; fuzzy logic; constant SOC control.

No abstract