基于积分滑模控制技术的宽参数空间超混沌系统鲁棒全局同步

Edwin A. Umoh, Omokhafe J. Tola
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引用次数: 2

摘要

滑模控制固有的对结构和参数不确定性的不变性使其成为混沌动力学控制的一种有吸引力的控制策略。该性质可以有效地约束敏感依赖于初始条件的混沌性。本文采用积分滑模控制技术,实现了两个参数完全已知的四维超混沌系统的轨迹全局同步。基于指数趋近律和Lyapunov稳定性原理,将两系统的轨迹同步问题简化为在Lyapunov意义下使耦合系统的同步误差状态动力学渐近稳定的控制目标。为了验证控制律的有效性,在主从结构的宽参数空间超混沌系统上对该模型进行了数值验证。随后改变超混沌系统的参数,演化为拓扑非等效的同耦合超混沌系统。在两种情况下,建模的ISM控制律在瞬态时间后对耦合系统的动力学进行了全局同步,充分证明了ISMC的不变性。本研究为超混沌耦合系统的ISMC建模提供了一种优雅的技术。作为一个开放的问题,这种同步技术在机器人运动控制、基于混沌的保密通信系统设计和其他敏感非线性系统控制中有着广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Global Synchronization of a Hyperchaotic System with Wide Parameter Space via Integral Sliding Mode Control Technique
The inherent property of invariance to structural and parametric uncertainties in sliding mode control makes it an attractive control strategy for chaotic dynamics control. This property can effectively constrain the chaotic property of sensitive dependence on initial conditions. In this paper, the trajectories of two identical four-dimensional hyperchaotic systems with fully-known parameters are globally synchronized using the integral sliding mode control technique. Based on the exponential reaching law and the Lyapunov stability principle, the problem of synchronizing the trajectories of the two systems was reduced to the control objective of asymptotically stabilizing the synchronization error state dynamics of the coupled systems in the sense of Lyapunov. To verify the effectiveness of the control laws, the model was numerically tested on a hyperchaotic system with a wide parameter space in a master-slave configuration. The parameters of the hyperchaotic system were subsequently varied to evolve a topologically non-equivalent hyperchaotic system that was identically coupled. In both cases, the modeled ISM control laws globally synchronized the dynamics of the coupled systems after transient times, which sufficiently proved the invariance property of the ISMC. This study offers an elegant technique for the modeling of an ISMC for hyperchaotic coupling systems. As an open problem, this synchronization technique holds promises for applications in robot motion control, chaos-based secure communication system design, and other sensitive nonlinear system control. 
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