Intelligent optimal control for simultaneous attack problem

This paper proposes an online adaptive dynamic programming (ADP) based algorithm to solve the simultaneous attack problem with multiple missiles against a maneuvering target. In contrast to typical cooperative strategy, in this paper we considerate the optimality of the strategy as well as the conve...

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Bibliographic Details
Published in2017 36th Chinese Control Conference (CCC) pp. 3361 - 3366
Main Authors Hu Zilun, Yang Jianying
Format Conference Proceeding
LanguageEnglish
Published Technical Committee on Control Theory, CAA 01.07.2017
Subjects
Acceleration
Cost function
Dynamic programming
Heuristic algorithms
Kinematics
Missiles
Neural network
Optimal control
Simultaneous attack
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Summary:This paper proposes an online adaptive dynamic programming (ADP) based algorithm to solve the simultaneous attack problem with multiple missiles against a maneuvering target. In contrast to typical cooperative strategy, in this paper we considerate the optimality of the strategy as well as the convergence of the system. To obtain the optimal control, we adopt a new architecture called `cost function-based single network adaptive critic'. This approach is suitable to solve a wide class of nonlinear systems where the optimal control equation can be expressed in terms of the state and cost-related variables. In the present algorithm, a cost function is employed to coordinate the missiles movement. A neural network is designed to approach the optimal cost. Optimal control for each missile is obtained by finding the derivatives of the output of the network with respect to its input and using it in the expression for optimal control.
ISSN:2161-2927
DOI:10.23919/ChiCC.2017.8027878