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Iterative computational approach to the solution of the Hamilton-Jacobi-Bellman-lsaacs equation in nonlinear optimal control 被引量:1
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作者 M. D. S. ALIYU 《Control Theory and Technology》 EI CSCD 2018年第1期38-48,共11页
In this paper, iterative or successive approximation methods for the Hamilton-Jacobi-Bellman-lsaacs equations (HJBIEs) arising in both deterministic and stochastic optimal control for affine nonlinear systems are de... In this paper, iterative or successive approximation methods for the Hamilton-Jacobi-Bellman-lsaacs equations (HJBIEs) arising in both deterministic and stochastic optimal control for affine nonlinear systems are developed. Convergence of the methods are established under fairly mild assumptions, and examples are solved to demonstrate the effectiveness of the methods. However, the results presented in the paper are preliminary, and do not yet imply in anyway that the solutions computed will be stabilizing. More improvements and experimentation will be required before a satisfactory algorithm is developed. 展开更多
关键词 Hamilton-Jacobi-Bellman-lsaac equation vector identity fixed-point theory successive approximation method bounded continuous functions CONVERGENCE Riccati equation
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