In this paper, a static weapon target assignment（WTA）problem is studied. As a critical problem in cooperative air combat,outcome of WTA directly influences the battle. Along with the cost of weapons rising rapidly, ...In this paper, a static weapon target assignment（WTA）problem is studied. As a critical problem in cooperative air combat,outcome of WTA directly influences the battle. Along with the cost of weapons rising rapidly, it is indispensable to design a target assignment model that can ensure minimizing targets survivability and weapons consumption simultaneously. Afterwards an algorithm named as improved artificial fish swarm algorithm-improved harmony search algorithm（IAFSA-IHS） is proposed to solve the problem. The effect of the proposed algorithm is demonstrated in numerical simulations, and results show that it performs positively in searching the optimal solution and solving the WTA problem.展开更多
In this paper,a novel robust control allocation method for a control system with uncertain param-eters is proposed based on the algorithms of maximum–minimum and improved fish swarm.Based on the algorithm of maximum...In this paper,a novel robust control allocation method for a control system with uncertain param-eters is proposed based on the algorithms of maximum–minimum and improved fish swarm.Based on the algorithm of maximum–minimum,the control allocation problem with an uncer-tain allocation matrix is transformed into the definite control allocation problem;then by using an improved fish swarm algorithm,the resultant control allocation problem is solved.Finally,the simulation results show that the proposed robust control allocation method has better robust-ness to system modelling uncertainty and possesses stronger anti-interference ability than the existing control allocation methods.展开更多
基金supported by the National Natural Science Foundation of China(61472441)
文摘In this paper, a static weapon target assignment（WTA）problem is studied. As a critical problem in cooperative air combat,outcome of WTA directly influences the battle. Along with the cost of weapons rising rapidly, it is indispensable to design a target assignment model that can ensure minimizing targets survivability and weapons consumption simultaneously. Afterwards an algorithm named as improved artificial fish swarm algorithm-improved harmony search algorithm（IAFSA-IHS） is proposed to solve the problem. The effect of the proposed algorithm is demonstrated in numerical simulations, and results show that it performs positively in searching the optimal solution and solving the WTA problem.
基金supported by the National Natural Science Foundation of China(61973253 and 62176214)。
文摘In this paper,a novel robust control allocation method for a control system with uncertain param-eters is proposed based on the algorithms of maximum–minimum and improved fish swarm.Based on the algorithm of maximum–minimum,the control allocation problem with an uncer-tain allocation matrix is transformed into the definite control allocation problem;then by using an improved fish swarm algorithm,the resultant control allocation problem is solved.Finally,the simulation results show that the proposed robust control allocation method has better robust-ness to system modelling uncertainty and possesses stronger anti-interference ability than the existing control allocation methods.
