我们还给出了代数和分段加权算法，通过对该算法控制参数的分析，最后给出了两种实用方案的优化算法。
We also developed algebra sum segmented weighted algorithm, and after the analysis for the parameters, we proposed two algorithms for practical applications.
下面的参数可用于控制异步算法可以放入到单个查询中的ATQ的最大数量。
The following parameters can be used to control the maximum number of ATQs that the asynchrony algorithm will place within a single query.
由算法的生成和过滤作为参数的，通过编程方法控制的XML或关系数据库的获取和设置
Programmatically controlled XML or relational database getting and setting, augmented by algorithmic generating and filtering.
然后通过梯度下降法和最小二乘法相结合的混合学习算法，对控制器参数进行调整以提高其控制精度。
Then some parameters of the controller are modulated by hybrid learning algorithm of ladder descent (LD) and least square error (LSE) so as to attain better control precision.
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.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
算法具有控制参数少，灵活性好的特点。
The algorithm has less control parameters and has better flexibility.
并对张力控制算法及PID参数的变化情况进行了分析。
This paper also analysis the control algorithm and the vary circumstance of PID parameter.
设计了一种受生物启发的变结构模型跟踪控制算法，其设计简单，参数调整容易。
A biologically inspired variables structure model-following control algorithm is proposed, which is simple in design and easy to regulate the parameters.
参数控制算法的基本思想正好相反，它是构造参数序列来逼近最优值，相应的迭代点列逼近最优点。
The parameter control methods are in the contrast, which is to find a sequence of parameters that converge to optimal value and its corresponding pointsinconverge to optimal solution.
同时借助九点控制算法的思想提出了九点在线修改参数的改进算法。
Moreover, the improved algorithm is advanced, in which parameters can be modified online based on the nine-point control algorithm.
算法只需通过设置参数开关来控制遍历的方式。
This arithmetic is simply achieved by setting parameter switch to control the traverse way.
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.
通过运用PSO算法对PID控制器参数进行在线调整，使模型参考自适应控制达到理想的控制效果。
Using the PSO algorithm to optimize the on-line PID controller's parameters, desirable control effect is obtained.
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.
将学习理论与鲁棒控制相结合，采用随机化算法针对实参数不确定系统讨论了鲁棒控制器的设计问题。
This paper combines learning theory with robust control and discusses robust control design problems involving real parameter uncertainty in control systems based on randomized algorithms.
本文介绍了遗传算法在辐照控制模型参数求解中的应用，使辐照控制系统不断优化，取得了比较满意的结果。
This paper introduces the application of genetic arithmetic in parameters solution of irradiation control model, which causes constant optimum of irradiation control system and a satisfactory result.
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.
该控制系统以PLC为核心，并结合脉冲燃烧技术和PID增量算法，实现了对炉内各个参数的稳定控制。
This system centers on PLC, and integrates the pulse-burning technology with PID incremental algorithm to implement control each parameter in the box stably.
提出了一种基于遗传算法的小型旋转弹控制器参数优化设计方法。
An optimization design of small rolling missile controller parameter based on genetic algorithms was developed.
PID控制算法中，参数整定是十分重要的，其好坏直接影响控制性能。
In the PID control algorithm, the parameter installation is extremely important, its quality direct influence control performance.
本文研究系统状态初值漂移和系统参数扰动对迭代学习控制算法收敛性的影响。
In this paper, the influence about system initial shift and system parameter disturbance on convergence of the algorithm is studied.
论述了转角、合成速度、加速度等控制参数的确定算法。
The algorithm of angle, resultant velocity and acceleration is expatiated.
论述了转角、合成速度、加速度等控制参数的确定算法。
The algorithm of angle, resultant velocity and acceleration is expatiated.
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