Chaos plays an important role in dynamical systems and is applied hi many fields such as physics , chemistry , economics and so on 因此,混沌学自诞生以来,在物理学、化学、生物学、经济学和社会科学等众多领域得到了广泛的研究和应用。
System with specific coupling schemes is discussed as an example to illustrate the synchronization time of non - linear stochastic dynamical systems 最后用一类具有特定耦合机制的随机系统作为例子来说明非线性随机动力系统的同步时间问题。
Chapter five concludes the work and points out some aspects to be further studied on nonlinear dynamical system to combined deterministic and narrow - band random excitations 最后,在第五章给出了本文的工作总结和有待进一步展开的研究。
Thirdly , based on input - output data obtained from the underlying dynamical system , modeling and its control for an uncertain chaotic system are studied 再次,提出一种基于不确定混沌系统输入输出的智能模糊建模及其自适应控制混沌运动策略。
A direct adaptive control approach is proposed for a class of uncertain discrete time nonlinear non - minimum phase dynamical systems 摘要针对一类不确定的离散时间非线性非最小相位动态系统,提出了一种基于神经网络和多模型的直接自适应控制方法。
A dynamical system is a concept in mathematics where a fixed rule describes the time dependence of a point in a geometrical space. Examples include the mathematical models that describe the swinging of a clock pendulum, the flow of water in a pipe, and the number of fish each springtime in a lake.