文献类型：期刊文献

英文题名：A gradient-based stochastic search approach for optimal harvesting strategy in shrimp culture

作者：Xiang, Wu Qiaodan, Liu Bangjun, Lei Kanjian, Zhang

第一作者：Xiang, Wu

机构：[1] School of Mathematical Sciences, Guizhou Normal University, Guiyang, 550001, China; [2] School of Electrical Engineering, Southeast University, Nanjing, 210096, China; [3] School of Electrical and Information Engineering, Guizhou Institute of Technology, Guiyang, 550003, China; [4] School of Automation, Southeast University, Nanjing, 210096, China

第一机构：School of Mathematical Sciences, Guizhou Normal University, Guiyang, 550001, China

年份：2017

起止页码：2513-2518

外文期刊名：Chinese Control Conference, CCC

收录：EI(收录号：20174404320707)

语种：英文

摘要：This paper considers an optimal harvesting strategy problem arising in shrimp culture. The problem is formulated as an optimal control problem of nonlinear impulsive system. Since the impulsive switching constraints is very complex, the impulsive switching instants are unknown, and the objective function is not continuously differentiable, it is difficult to solve this problem by standard optimization methods. To overcome the difficulty, by introducing a novel binary variable for each sale price of shrimp, relaxing the binary variable, and imposing a penalty function on the relaxation term, the nonlinear impulsive system optimal control problem is transformed into a parameter optimization problem, which can be solved efficiently using any gradient-based optimization technique. Then, a gradient-based stochastic search approach is proposed for solving this problem. Finally, a harvesting strategy problem is presented to illustrate the efficiency of the approach proposed. ? 2017 Technical Committee on Control Theory, CAA.