1) sub-optimal strategy
次优策略
2) LQ sub-optimal regulation strategy
LQ次优调节策略
1.
Based on degraded and approximate model of main steam pressure and linear quadratic optimal control theory, the LQ sub-optimal regulation strategy is presented.
基于主蒸汽压力降阶近似模型和二次型最优控制原理,给出了主蒸汽压力的LQ次优调节策略。
3) optimization strategy
优化策略
1.
An optimization strategy of NAM using raster scanning;
基于光栅扫描的NAM优化策略
2.
Research on the optimization strategy used when coping with queries;
查询处理过程中的优化策略研究
3.
Primary design parameters and optimization strategy of the thrust deduction characteristics of ship hull and composite propulsor system;
船体与组合推进器系统推力减额特性设计主参数和优化策略研究
4) eugenic evolution strategy
优进策略
1.
Estimation of kinetic parameters base on eugenic evolution strategy differential evolution algorithms;
基于优进策略的新差分进化算法动力学模型参数的估计
2.
A eugenic evolution strategy was proposed to improve the searching efficiency of the conventional simple genetic algorithm (SGA).
针对常规遗传算法全局寻优效率偏低的弱点,提出了一种优进策略,用以改进常规遗传算法。
5) eugenic strategy
优进策略
1.
By integrating eugenic strategy and chaotic optimization into particle swarm optimization algorithm,it greatly enhances the local searching efficiency and global searching performance.
为改善基本粒子群优化算法的寻优性能,通过算法混合,在粒子群优化算法中逐步引入优进策略和混沌搜索机制,以加强粒子群的局部寻优效率和全局寻优性能。
2.
In order to reduce the difficulty in selecting algorithm parameters and improve convergence,this paper proposed an effective differential evolution based on parallel eugenic strategy(DEPES).
差分进化算法是一种新颖的进化计算技术,为减少用户选择算法控制参数的盲目性和提高算法收敛速度,设计了一种基于并行优进策略的差分进化算法(DEPES算法)。
6) eugenic evolution
优进策略
1.
A eugenic evolution strategy genetic algorithm (EGA),which integrates random evolution operation and deterministic optimization operation,is adopted in this paper to realize global optimization in high efficiency.
采用优进遗传算法 (EGA) ,将确定性与随机性寻优操作相融合 ,实现了高效全局搜优 ,它所基于的优进策略包括设计Powell寻优算子、改进交叉算子、自适应地调整交叉率和变异率等 。
补充资料：输出反馈(见线性二次型次优控制)
输出反馈(见线性二次型次优控制)
output feedback
3h日c卜口fon以以{输出反馈型次优控制。(output王eedbaek)见线性二次
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条