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相关概念视频

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

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In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
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Distribution Reliability and Automation01:25

Distribution Reliability and Automation

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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

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Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
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Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

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The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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相关实验视频

Updated: Jun 12, 2025

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基于ADP的可容错共识控制,用于具有不规则状态约束的多代理系统.

Zijie Guo1, Qi Zhou2, Hongru Ren2

  • 1School of Electronics and Information, Guangdong Polytechnic Normal University, Guangzhou, 510665, Guangdong, China.

Neural networks : the official journal of the International Neural Network Society
|September 24, 2024
PubMed
概括

本研究开发了一种适应动态编程 (ADP) 方法,用于具有不规则状态约束和执行器故障的非线性多代理系统 (MAS). 该方法确保了容错的共识控制和最佳的跟踪性能.

关键词:
执行器故障 执行器故障适应性动态编程 (ADP) 是一种有限时间分布式观察者.不规则的状态约束 不规则的状态约束非线性多元代理系统 (MAS) 是一种非线性多元代理系统.

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科学领域:

  • 控制理论 控制理论
  • 人工智能的人工智能
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 非线性多代理系统 (MAS) 面临的挑战是状态约束和执行器故障.
  • 现有的方法往往忽略了不规则的,时间变化的或新兴状态的约束.

研究的目的:

  • 针对具有不规则状态约束和执行器故障的MAS进行共识控制.
  • 使用自适应动态编程 (ADP) 开发一个耐故障的控制策略.

主要方法:

  • 系统转换以将受约束的MAS转换为不受约束的MAS.
  • 对于领导状态估计的有限时间分布式观察者.
  • 仅基于关键的ADP的故障耐受性控制策略与在线故障补偿.
  • 改进了使用历史数据的神经网络 (NN) 的权重学习规律.

主要成果:

  • 尽管存在不规则的约束和执行器故障,但为每个代理实现了最佳的跟踪控制.
  • 确保执行器故障不会传播到邻近的代理.
  • 在有限的激发条件下证明了NN权重的趋同.
  • 验证了使用多个操纵器系统的方法.

结论:

  • 提出的基于ADP的方法有效地处理MAS的不规则状态约束和执行器故障.
  • 这种方法确保了强大和最佳的共识控制.
  • 该方法提高了学习效率和控制系统的稳定性.