Most tasks will balance some control for some adaptability, and so the apparatus that best does the job will be some cyborgian hybrid of part clock, part swarm.
多数任务都会在控制与适应性中间寻找一个平衡点，因此，最有利于工作的设备将是由部分钟控装置和部分群系统组成的生控体系统的混血儿。
Social potential fields were combined with behavior-based control, which made swarm robots forming aggregation formation, avoiding the obstacles in unknown environment and reaching target area.
将社会势场与基于行为控制相结合，使得群体机器人形成聚集队形，避开未知环境中的障碍物并到达目标区域。
The formation stability of swarm agents with time delays in communication was analyzed based on graph theory and control theory.
针对带通信时滞的网络化群体系统编队稳定性问题，采用图论和控制理论知识得出其稳定性条件。
A particle swarm optimization (PSO) technique based novel approach for solving the dynamic voltage security constrained preventive control problem is proposed.
基于粒子群优化算法(PSO)，提出一种求解含动态电压安全约束的预防控制新方法。
Recently, distributed coordination control of the scale networked swarm system has been a particularly active topic in intelligent system field.
近年来，分布式大规模网络化群体系统的协调控制问题逐渐成为国内外智能系统理论界研究的热点。
Taking target search with swarm robots for instance, we explore an approach to control swarm whose members are autonomous wheeled mobile robots with non-holonomic constraints.
以目标搜索定位任务为背景，用扩展微粒群算法对具有非完整运动约束特性的自主移动轮式机器人组成的群机器人系统实施协调控制。
The purpose of this paper is to provide a survey on the current development of the investigation on modeling of swarm behavior and its applications to the control of social behaviors.
本文旨在对从群集行为建模到其对社会行为控制的应用的目前动向作一综述介绍。
How to control swarm formation in unknown environment is a challenging problem. In this paper, Swarm-robot distribution control and optimization is studied.
如何控制不受数量限制的群机器人分布并在未知环境中移动，是一个极具挑战性的问题。
On this basis, improved particle swarm optimization based on the magnetic bearing neural network PID control scheme is proposed.
在此基础上，提出基于改进粒子群算法优化的磁轴承神经网络PID控制方案。
Nonoptimal -- Because they are redundant and have no central control, swarm systems are inefficient.
余 ，又没有中央控制，群系统的效率是低下的。
A neighbourhood topology based particle swarm algorithm (NTPSO) is proposed for optimal reactive power dispatch and voltage control of power system.
提出了一种基于邻域拓扑粒子群优化算法(NTPSO)的大规模电力系统无功优化新算法。
This thesis investigates some stability and robust control problems of networked control systems (NCSs), and some behavior of swarm under digital communication network.
本文研究了离散网络化控制系统(NCSs)的镇定、鲁棒控制以及数字网络下群体的行为。
The results demonstrate the correctness of the control law of coordinated control model and reveal the validity and the availability of the new APF model and the swarm model.
实验结果表明了本论文研究的基于人工势场理论的多移动机器人协同控制的可行性和有效性。
Based on PSO, a new PID control method with incomplete derivation based on particle swarm optimization algorithm is proposed.
以P SO算法为基础，提出了一种新的粒子群优化不完全微分pid算法。
Recently, Particle Swarm optimization is applied into function optimization, Neural Networks, data mining, Fuzzy Control System and other application field.
目前微粒群算法已广泛应用于函数优化、神经网络训练、数据挖掘、模糊系统控制以及其他的应用领域。
This is a digital system that is used for the demonstration of the control architecture, cooperative control, learning algorithm of swarm-robot system.
这是一个能够对群机器人系统的体系结构、协调控制和学习算法等进行实验的数字仿真系统。
The particle swarm algorithm is introduced to job shop scheduling operation. Consequently, the function of job shop scheduling and control of the integration module is realized.
把二倍体混合遗传算法引入动态车间优化调度运算，从而使集成模型中动态生产调度与控制功能得以实现。
The particle swarm algorithm is introduced to job shop scheduling operation. Consequently, the function of job shop scheduling and control of the integration module is realized.
把二倍体混合遗传算法引入动态车间优化调度运算，从而使集成模型中动态生产调度与控制功能得以实现。
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