This paper reports the results of the analytical, numerical and analogical analyses of integer- and fractional-order chaotic systems with hyperbolic sine nonlinearity (HSN). By varying a parameter, the integer order of the system displays transcritical bifurcation and new complex shapes of bistable double-scroll chaotic attractorsand four-scroll chaotic attractors. The coexistence among four-scroll chaotic attractors, a pair of double-scroll chaotic attractors and a pair of point attractors is also reported for specific parameter values. Numerical results indicate that commensurate and incommensurate fractional orders of the systems display bistable double-scrollchaotic attractors, four-scroll chaotic attractors and coexisting attractors between a pair of double-scroll chaotic attractors and a pair of point attractors. Moreover, the physical existence of chaotic attractors and coexisting attractors found in the integer-order and commensurate fractional-order chaotic systems with HSN is verified using PSIM software. Numerical simulations and PSIM results have a good qualitative agreement. The results obtained in this work have not been reported previously in three-dimensional autonomous system with HSN and thus represent an enriching contribution to the understanding of the dynamics of this class of systems. Finally, combination synchronisation of such three-coupled identical commensurate fractional-order chaotic systems is analysed usingthe active backstepping method.

We investigate the impact of a constant force excitation on the dynamics of a simple jerk system with piecewise quadratic nonlinearity.We demonstrate that in the presence of the forcing term, the model is asymmetric yielding more complex and striking bifurcation patterns such as parallel bifurcation branches, coexisting multiple asymmetric attractors, hysteretic dynamics, crises, and coexisting asymmetric bubbles of bifurcation. Accordingly, the coexistence of two, three, four, or five asymmetric periodic and chaotic attractors are reported by changing the model parameters and initial conditions. The control of multistability is investigated by using the method of linear augmentation. We demonstrate that the multistable system can be converted to a monostable state by smoothly adjusting the coupling parameter. A very good agreement is observed between PSpice simulation results and the theoretical study.