对于子系统的性能指标按一定顺序耦合的稳态大系统，采用两级递阶优化控制算法。
Two stage hierarchical optimization control algorithm is adopted for steady state large sized system with its subsystem performance indices coupling in a certain order.
采用计算机控制，便于实现各种控制算法和控制参数的修正及优化。
With the application of computer control various kinds control computations and correction and optimization of control parameters are easily implemented.
采用一类全局收敛的连续模拟退火算法完成了控制器参数的优化设计。
A continuous simulated annealing algorithm with global convergence ability is applied to solve this controller parameters optimization design problem.
针对多机器人队形优化控制任务，提出一种快速收敛的机器人任意队形的控制算法。
Aimed at optimizing the formation control of multiple robots, a quick converging distributed algorithm for generating arbitrary shape of multiple robots is discussed.
本文以四元数、递归动力学和优化控制为基础，提出了一种基于力矩优化的虚拟人运动控制算法。
This paper presents a motion control algorithm for virtual human based on torque optimization. The algorithm is founded on the use of quaternion, recursive dynamics and optimal control.
非线性随机系统的最优控制，采用基于性能势的随机优化数值算法。
The optimal control of nonlinear random system adopted random optimal numerical algorithm based on performance potential.
采用控制加权可变步长单纯形算法对PTC氨基酸的毛细管胶束电动色谱分离体系进行动态优化。
The systematic optimization for the MEKC separation of PTC amino acids by using a dynamic scouting optimization method controlled weighted centroid variable size simplex algorithm was established.
本文最关键的工作在于图像采集的时序控制和匹配算法的优化实现。
The most decisive works lie in the control of the image-capturing timing and the optimization of the image-matching arithmetic.
最后，给出了求优化采样频率的算法和控制系统的静态优化调度算法。
Finally, an algorithm for acquiring optimal sampling frequencies and static optimal scheduling algorithm are presented.
探讨了遗传算法优化PID参数的基本方法，着重研究了改进遗传算法的PID控制优化。
Also this paper discusses the basic method of ant colony algorithm to optimize PID control parameter.
针对多模型方法中子模型数量过多的问题，提出一种基于模型集在线优化方案的多模型自适应控制算法，并对其实时性进行讨论。
Focus on the question of many sub models in traditional SMM, a SMM adaptive control based on online optimization method of model set is proposed.
通过选择合适的控制算法和控制律，使控制系统达到优化。
The control system reaches the optimum by choosing the right control algorithm and control strategy.
运用此方法，给出了一种适用于中药智能配药系统的控制优化算法——有限动态规划法。
Using this method, this article chooses a relatively better control algorithm named restricted dynamic programming (RDP) for this system.
采用参数自整定最优PID控制算法，实现了温室温度的优化控制。
With the use of the auto-tuning optimal PID controller, the optimal control over the air temperature in the greenhouse is realized.
在对经典控制方法分析的基础上，优化控制算法，提出了气磁轴承的数字PID控制方法。
At the basis of analysis of classical control methods, we optimize the control algorithm and deduce the digital PID control method of gas-magnetic bearing.
仿真结果表明，经过遗传算法优化的PID控制器具有较高的精度和较强的适应性，能获得满意的控制效果。
The result showed that the PID controller optimized by genetic algorithms had higher accuracy and stronger adaptability and it can get satisfying control effect.
提出一种模糊控制与PID控制相结合的优化算法，实现了对高频加热设备温度系统的良好控制。
An optimized algorithm combining the fuzzy control with the PID control has been put forward, realizing a good control of the temperature system in the high frequency heating equipment.
在已改进的最优化流控模型和链路价格算法的基础上，提出了一种基于最优化流控模型的拥塞控制算法。
On the basis of the improved optimization flow control model and link price algorithm, presented an optimization flow control model-based congestion control algorithm.
作者利用一种新型优化算法——遗传算法优化短行程控制曲线，解决了传统方法难以解决的优化问题。
The curve of short stroke control which can , t be optimized with conventional methods was optimized with a new optimization algorithm—genetic algorithm.
本文将采用模糊控制设计防滑刹车的控制策略，并应用自调整因子算法对模糊控制的参数进行优化。
In this paper, a fuzzy control approach is used in the design of the control strategy of anti-skid braking systems, with self-regulation factors for optimization of the fuzzy control parameters.
对每个控制模块设计了相应的模糊优化控制算法，并用改进的BP神经网络实现算法的模糊关系。
Fuzzy optimal control arithmetic was designed for each module, and an improved BP neural network was introduced to implement the fuzzy relation.
分析蒸气热泵的特点，提出最佳温升曲线的优化计算方法和蒸气压力预测智能控制算法，设计了纸机干燥部优化控制系统。
The property of steam ejector is analyzed. The optimize method of temperature curve and an algorithm of intelligent predictive pressure control are presented. The optimize control system is designed.
最后通过对模型的测试，采用蚂蚁算法优化后的控制方法基本达到了要求目标，与传统PID控制方法相比较，显示了其优越性。
The model test results show that it basically achieves the goal and show the advantage through comparing with traditional PID method.
最后通过对模型的测试，采用蚂蚁算法优化后的控制方法基本达到了要求目标，与传统PID控制方法相比较，显示了其优越性。
The model test results show that it basically achieves the goal and show the advantage through comparing with traditional PID method.
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