Velocity Control for Coning Motion Missile System Using Direct Discretization Method by Rui-sheng Sun, Chao Ming

“…By using a direct discretization method to transform the optimal control problem into a nonlinear dynamic programming problem, the optimal trajectory and velocity profile are obtained to satisfy the design index requirement. …”
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Data-Driven Approximated Optimal Control for Chemical Processes with State and Input Constraints by Mingfang He

“…Then, adaptive dynamic programming (ADP) with nonquadratic performance integrand is adopted to handle the augmented system with input constraints. …”
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Portfolio Selection with Liability and Affine Interest Rate in the HARA Utility Framework by Hao Chang, Kai Chang, Ji-mei Lu

“…The investors wish to look for an optimal investment strategy to maximize the expected utility of the terminal surplus under hyperbolic absolute risk aversion (HARA) utility function, which consists of power utility, exponential utility, and logarithm utility as special cases. By applying dynamic programming principle and Legendre transform, the explicit solutions for HARA utility are achieved successfully and some special cases are also discussed. …”
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Optimal Control for Networked Control Systems with Markovian Packet Losses by Xiao Han, Zhijian Ji, Qingyuan Qi

“…Furthermore, by adopting the dynamic programming approach, we derive the optimal output feedback control, which is based on the solution to a given modified Riccati equation. …”
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Program semantic analysis model for code reuse detection by GUO Xi, WANG Pan

“…On this basis, dynamic programming analysis methods were used to obtain similarity results between basic blocks at the granularity of the basic blocks, and neighborhood search was performed on the basis of the control flow graph to extend similarity analysis from the basic block level to the function level. …”
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An Analysis of Asymptotic Properties and Error Control under the Exponential Jump-Diffusion Model for American Option Pricing by Mohamed Maidoumi, Boubker Daafi, Mehdi Zahid

“…Our work is aimed at modeling the American option price by combining the dynamic programming and the optimal stopping time under two asset price models. …”
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Stochastic Modeling of Internet Service for Profit Optimization in Uganda by Christopher, Senfuka, Paul, Kizito Mubiru, Maureen, N. Ssempijja

“…The bandwidth adjustment policies are determined using dynamic programming over a finite period planning horizon. …”
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Bayesian Q learning method with Dyna architecture and prioritized sweeping by Jun YU, Quan LIU, Qi-ming FU, Hong-kun SUN, Gui-xing CHEN

“…The algorithm mainly includes two parts: in the learning part, it models the transition function and reward function according to collected samples, and update Q value function by Bayesian Q-learning, in the programming part, it updates the Q value function by using prioritized sweeping and dynamic programming methods based on the constructed model, which can improve the efficiency of using the his-torical information. …”
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Research on the wealth management fees of defined contribution pensions during the pre-retirement stage by Zongqi Sun, Peng Yang, Ying Wang, Jing Lu

“…Then, the Hamilton-Jacobi-Bellman (HJB) equation was formulated through the dynamic programming approach, and both the optimal investment strategy and minimum loss function were determined using calculus methods. …”
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Analysis of Average Shortest-Path Length of Scale-Free Network by Guoyong Mao, Ning Zhang

“…In order to solve the load-balancing problem for coarse-grained parallelization, the relationship between the computing time of a single-source shortest-path length of node and the features of node is studied. We present a dynamic programming model using the average outdegree of neighboring nodes of different levels as the variable and the minimum time difference as the target. …”
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Characterization of a Cournot–Nash Equilibrium for a Fishery Model with Fuzzy Utilities by R. Israel Ortega-Gutiérrez, Raúl Montes-de-Oca, Hugo Cruz-Suárez

“…To obtain each equilibrium, a suitable fully determined fuzzy game is used in combination with the dynamic programming technique applied to this game in the context of fishing. …”
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Dynamic Multidrug Therapies for HIV: Optimal and STI Control Approaches by B. M. Adams, H. T. Banks, Hee-Dae Kwon, Hien T. Tran

“…In addition, usingideas from dynamic programming, we formulate and derive suboptimalstructured treatment interruptions (STI) in antiviral therapy thatinclude drug-free periods of immune-mediated control of HIV. …”
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Optimal feedback control of dynamical systems via value-function approximation by Kunisch, Karl, Walter, Daniel

“…Second, it is adapted to exploit the relationship between the maximum principle and dynamic programming. Based on universal approximation properties, existence, convergence and first order optimality conditions for optimal neural network feedback controllers are proved.…”
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Optimal Energy Consumption Analysis of Natural Gas Pipeline by Enbin Liu, Changjun Li, Yi Yang

“…Therefore, based on a full understanding of the actual needs of pipeline companies, we introduce production unit consumption indicators to establish an objective function for achieving the goal of lowering energy consumption. By using a dynamic programming method for solving the model and preparing calculation software, we can ensure that the solution process is quick and efficient. …”
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Modeling Campaign Optimization Strategies in Political Elections under Uncertainty by Christopher, Senfuka, Paul, Kizito Mubiru, Maureen, N. Ssempijja

“…In most political campaigns,the overall goal of every candidate is to maximize the number of voters during the election exercise.In such an effort,cost effective methods in choosing the optimal campaign strategy areparamount.In this paper, a mathematical model is proposed that optimize campaign strategies of a political candidate.Considering uncertainty in voter support and cost implications in holding political rallies,we formulate a finite state markov decision process model where states of a markov chain represent possible states of support among voters.Using daily equal intervals,thecandidates‟s decision of whether or not to campaign and hold a political rally at a given location were made using discrete time Markov chains and dynamic programming over a finite period planning horizon.Empirical data was collected from two locations on a daily basis during the campaign exercise.The data collected was analyzed and tested to establish the optimal campaign strategy and costs at the respective locations.Results from the study indicated the existence of an optimal state-dependent campaign strategy and costs at the respective political rally locations.…”
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A Method for Bio-Sequence Analysis Algorithm Development Based on the PAR Platform by Haipeng Shi, Huan Chen, Qinghong Yang, Jun Wang, Haihe Shi

“…The experiment of the development of a dynamic programming based LCS algorithm family shows the proposed method enables the improvement of the reliability, understandability, and development efficiency of particular algorithms.…”
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Modeling Multilevel Supplier Selection Problem Based on Weighted-Directed Network and Its Solution by Chia-Te Wei, Hong Zuo, Chang-Bing Jiang, Shu-fang Li

“…Firstly, this paper discusses and forms the evaluation system to estimate the supplier from the two indicators of risk and greenness and then applies the value as the weight of the network between two nodes to build a weighted-directed supplier network; secondly, the study establishes the optimal combination model of supplier selection based on the global network perspective and solves the model by the dynamic programming-tabu search algorithm and the improved ant colony algorithm, respectively; finally, different scale simulation examples are given to testify the efficiency of the two algorithms. …”
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Joint Flood Control Operation of Reservoirs in Xiaoshui Basin Based on DP-PS Algorithm by SHENG Dong, XU Xingyi, LIN Fanqi, HE Huaiguang, YUAN Yanmei, LUO Jinming

“…On this basis, the dynamic programming-pattern search algorithm (DP-PS) is introduced to solve the model, and the operation scheme under the most unfavorable flood scenario is obtained. …”
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Stackelberg Game Model of Railway Freight Pricing Based on Option Theory by Jingwei Guo, Zhongqi Xie, Qinglin Li

“…Subsequently, the reverse reasoning method in dynamic programming is used to solve the optimal combination decision of the contract customer. …”
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Edge Computing in an IoT Base Station System: Reprogramming and Real-Time Tasks by Huifeng Wu, Junjie Hu, Jiexiang Sun, Danfeng Sun

“…Embedded programmable logic controllers serve as the edge nodes; a dynamic programming method creates a seamless integration between the edge nodes and the cloud. …”
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