EXACT LINEARIZATION BASED MULTIPLE-SUBSPACE ITERATIVE RESOLUTION TO AFFINE NONLINEAR CONTROL SYSTEM

To the optimal control problem of affine nonlinear system, based on differential geometry theory, feedback precise linearization was used. Then starting from the simulative relationship between computational structural mechanics and optimal control, multiple-substructure method was inducted to solve the optimal control problem which was linearized. And finally the solution to the original nonlinear system was found. Compared with the classical linearizational method of Taylor expansion, this one diminishes the abuse of error expansion with the enlargement of used region.     

仿射非线性控制系统基于精确线性化下的多重子空间迭代解法

研究仿射非线性控制系统的最优控制问题．基于微分几何理论,在反馈精确线性化后,利用计算结构力学与最优控制之间模拟关系,沿用多重子结构法来解决线性化后的最优控制问题,最终实现对原非线性系统的求解．相比于经典的Taylor展开线性化方法,减小了误差会随使用区域的扩大而扩大的弊端．     

NUMERICAL METHOD BASED ON HAMILTON SYSTEM AND SYMPLECTIC ALGORITHM TO DIFFERENTIAL GAMES

The resolution of differential games often concerns the difficult problem of two points border value (TPBV), then ascribe linear quadratic differential game to Hamilton system. To Hamilton system, the algorithm of symplectic geometry has the merits of being able to copy the dynamic structure of Hamilton system and keep the measure of phase plane. From the viewpoint of Hamilton system, the symplectic characters of linear quadratic differential game were probed; as a try, Symplectic-Runge-Kutta algorithm was presented for the resolution of infinite horizon linear quadratic differential game. An example of numerical calculation was given, and the result can illuminate the feasibility of this method. At the same time, it embodies the fine conservation characteristics of symplectic algorithm to system energy.     

不确定线性微分对策的鲁棒性及设计

由于存在各种干扰、噪声和恶劣环境,以及模型也不应过分精确的实际,所以考虑微分对策的鲁棒性是必然和重要的.主要就微分对策中存在随机干扰和模型本身参数不确定这两类不确定性问题研究其鲁棒对策问题,并给出其相应的解.     

基于Hamilton体系和辛算法的微分对策数值法

微分对策求解往往涉及到困难的两点边值问题（TPBV）,将线性二次型微分对策问题归结于Hamilton体系．对Hamilton系统,辛几何算法具有能复制Hamilton系统的动态结构并保持相平面上的测度的优点．从Hamilton系统角度,探讨了线性二次型微分对策系统的辛性质;作为尝试,对无限期间线性二次型微分对策的计算引入Symplectic-Runge-Kutta算法．给出了一个数值计算实例,从结果可以说明这种方法的可行,也体现了辛算法对系统的能量具有良好的守恒性．