A nonlinear control system design based on HJB/HJI/FBI equations via differential genetic programming approach

J. Imae, Y. Kikuchi, N. Ohtsuki, T. Kobayashi
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Abstract

Based on the differential genetic programming, a new design method is proposed for optimal and/or robust controllers of nonlinear systems. First we introduce a new type of the genetic programming (GP), so-called differential GP (DGP), combining GP with an automatic differentiation scheme, which could solve Hamilton-Jacobi-Bellman(HJB)/Hamilton-Jacobi-Isaacs(HJI)/Francis-Byrnes-Isidori (FBI) equations. Lastly, the effectiveness of a DGP based design method is demonstrated through some design examples of nonlinear systems.
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基于HJB/HJI/FBI方程的非线性控制系统的微分遗传规划设计
提出了一种基于微分遗传规划的非线性系统最优鲁棒控制器设计方法。首先,我们引入了一种新的遗传规划(GP),即微分GP (DGP),它将GP与自动微分格式相结合,可以求解Hamilton-Jacobi-Bellman(HJB)/Hamilton-Jacobi-Isaacs(HJI)/Francis-Byrnes-Isidori (FBI)方程。最后,通过非线性系统的设计实例,验证了该设计方法的有效性。
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