Roughly speaking, dynamical systems consist of differential dynamical system, topological dynamical system, infinite dimensional dynamical system, complex dynamical system and ergodic theory etc.
今天的动力系统大致可分为微分动力系统、拓扑动力系统、无穷维动力系统、复动力系统、遍历论等方向。
In this paper, the nonlinear dynamical behaviors and bifurcation series of complex systems are studied.
从理论上研究了由几个混沌系统复合而构成的新系统的非线性动力学特性和分岔序列。
As a new intelligent control method, the neural-network-based technique provides a potential tool for solving the control problems of highly uncertain, complex, nonlinear dynamical systems.
神经网络控制作为一种全新的智能控制方法，为解决高度不确定性和严重非线性的复杂动态系统的控制问题开辟了一条新的途径。
应用推荐