Full-parameter vision navigation based on scene matching for aircrafts |
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Authors: | QiFeng Yu Yang Shang XiaoChun Liu ZhiHui Lei Xiang Li XianWei Zhu XiaoLin Liu Xia Yang Ang Su XiaoHu Zhang HongLiang Zhang |
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Affiliation: | 1. School of Control Science and Engineering, Shandong University, Jinan, 250061, China 2. Science and Information College, Qingdao Agricultural University, Qingdao, 266109, China
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Abstract: | This paper addresses two kinds of optimal control problems of probabilistic mix-valued logical control networks by using the semi-tensor product of matrices, and presents a number of new results on the optimal finite-horizon control and the first-passage model based control problems, respectively. Firstly, the probabilistic mix-valued logical control network is expressed in an algebraic form by the semi-tensor product method, based on which the optimal finite-horizon control problem is studied and a new algorithm for choosing a sequence of control actions is established to minimize a given cost functional over finite steps. Secondly, the first-passage model of probabilistic mix-valued logical networks is given and a new algorithm for designing the optimal control scheme is proposed to maximize the corresponding probability criterion. Finally, an illustrative example is studied to support our new results/algorithms. |
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Keywords: | full parameters vision navigation scene matching for multiple points autonomous navigation without satellite navigation |
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