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This paper focuses on the trajectory optimization problem of the multi-observer system with the radar threat. By introducing the artificial potential field(APF) theory into particle swarm optimization(PSO), a new observer trajectory optimization algorithm is proposed based on artificial potential field and particle swarm optimization (APF-PSO). This algorithm simplifies the detection probability model...
In this paper a mixed control allocation with explicit control law is presented based on optimal weight determined by genetic particle swarm optimization algorithm for over-actuated flight system. The design combines tracking error of virtual control with effectors energy, and the attainable subset formulation scheme is concluded according to the uniform control law expression. By introducing crossover...
This paper introduces a parameterization method for obtaining closed-loop suboptimal solutions to the aircraft evasive maneuver problem, which is transformed into a nonlinear programming problem using Quantum-behaved Particle Swarm Optimization (QPSO) algorithm based on rolling optimization concept. Considering the aircraft sensitivity constraints, angle of attack and bank angle accelerations are...
With the increasing development of mobile rich media applications, it has become an important research topic on how to reduce application response time so as to run more smoothly on resource-limited devices. On the basis of the in-depth study of character drawing mode, cache replacement policy and full use of the cache resources, this paper presents a strategy to cache the characters of mobile rich...
Combining the characteristics of complicated system in the way of structure and function, such as stratify, relevance, parallel and intricacy, the paper took the diagnosis object as a whole, and from the view of responding custom request and solving the complicated tasks, researched two key technologies, including fault diagnosis process and diagnosis resource utilization. The diagnosis task decomposition...
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