做非线性动力学必须看的书籍，高清版的，很多地方都没得下载，正好有，传上来，有需要的就看看了！

有限元分析中显式和隐式时间积分方法对比算例，包括Newmark和中心差分法

Nonlinear Model Predictive Control Theory and Algorithms 非线性模型预测控制以及对应的PPT

神经网络的光学链接非线性均衡 与Leonardo Minelli硕士学位论文固有的python代码开发相关的存储库。 本文的主题是关于通过利用一些人工神经网络实现来实现光纤通信链路的非线性均衡。

一本介绍非线性优化理论的英文原版书，施普林格出版社出版的，值得阅读。

In this thesis we consider the problem of designing and implementing Model Predictive Controllers (MPC) for stabilizing the dynamics of an autonomous ground vehicle. For such a class of systems, the non-linear dynamics and the fast sampling time limit the real-time implementation of MPC algorithms to local and linear operating regions. This phenomenon becomes more relevant when using the limited computational resources of a standard rapid prototyping system for automotive applications. In this thesis we first study the design and the implementation of a nonlinear MPC controller for an Active Font Steering (AFS) problem. At each time step a trajectory is assumed to be known over a finite horizon, and the nonlinear MPC controller computes the front steering angle in order to follow the trajectory on slippery roads at the highest possible entry speed. We demonstrate that experimental tests can be performed only at low vehicle speed on a dSPACE rapid prototyping system with a frequency of 20 Hz. Then, we propose a low complexity MPC algorithm which is real-time capable for wider operating range of the state and input space (i.e., high vehicle speed and large slip angles). The MPC control algorithm is based on successive on-line linearizations of the nonlinear vehicle model (LTV MPC). We study performance and stability of the proposed MPC scheme. Performance is improved through an ad hoc stabilizing state and input constraints arising from a careful study of the vehicle nonlinearities. The stability of the LTV MPC is enforced by means of an additional convex constraint to the finite time optimization problem. We used the proposed LTV MPC algorithm in order to design AFS controllers and combined steering and braking controllers. We validated the proposed AFS and combined steering and braking MPC algorithms in real-time, on a passenger vehicle equipped with a dSPACE rapid prototyping system. Experiments have been performed in a testing center equipped with snowy and icy tracks. For both controllers we showed that vehicle stabilization can be achieved at high speed (up to 75 Kph) on icy covered roads. This research activity has been supported by Ford Research Laboratories, in Dearborn, MI, USA.

Jianqing Fan

nonlinear model predictive control （第二版含MATLAB仿真实例）

Nonlinear Multiobjective Optimization高清pdf，本资源很难得，值得优化领域热源细读！

非线性控制