In the modern diversified environment,there are uncertainties and dynamics in the process of task execution of complex systems due to incomplete mission situation information,which makes it difficult to evaluate the effectiveness.Based on the efficiency evaluation method of Dynamic Probabilistic Finite State Machine(DPFSM),this paper carries out a research on the evaluation of the cooperative performance of complex systems,and verifies the feasibility of the performance evaluation method of complex systems under incomplete situation through a case.Firstly,the state transition probability matrix was analyzed based on the Delphi method,and the DPFSM method model was improved and optimized.Then,taking the rotary-wing Unmanned Aerial Vehicle(UAV)swarm as an example,in view of the incomplete situation in the disaster area,the status and input of the swarm cooperative task were determined,and the DPFSM model was established to calculate its application efficiency and relative efficiency.Finally,by analyzing the efficiency and relative efficiency of swarm operation,it is concluded that the efficiency of swarm collaborative application decreases by more than 0.2 due to power depletion and UAV damage,which has a great impact on the efficiency of swarm cooperative application,and it is recommended to modify the battery or increase the number of UAVs to achieve the purpose of reconnoitring disaster areas and delivery of supplies.
维普
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