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相关概念视频

Multimachine Stability01:25

Multimachine Stability

229
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
229
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...
731
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

514
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
514
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

665
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.
Problem-solving in the context of the stability of equilibrium configuration...
665
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.4K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
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相关实验视频

Updated: Sep 11, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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在异步切换和非定向拓学下的非线性多代理系统的跟踪共识.

Shanyan Hu1, Mengling Wang1,2

  • 1Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China.

Sensors (Basel, Switzerland)
|August 14, 2025
PubMed
概括

本研究涉及使用事件触发机制 (ETM) 的非线性多代理追踪共识与异步延迟. 它通过线性矩阵不等式 (LMIs) 建立稳定性条件和设计控制器,以提高效率.

关键词:
异步切换是指非同步切换.动态事件触发机制的机制.多代理系统是多代理系统.追踪共识共识的追踪

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相关实验视频

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科学领域:

  • 控制系统工程 控制系统工程
  • 网络系统理论 网络系统理论
  • 非线性动力学是一种非线性动力学.

背景情况:

  • 在多代理系统中达成共识对于协调行为至关重要.
  • 异步切换和通信拓中的延迟使控制设计复杂化.
  • 事件触发机制 (ETM) 对于减少通信和计算负载至关重要.

研究的目的:

  • 为了研究跟踪共识在非线性多代理系统与非定向拓.
  • 为应对拓与控制器切换之间的异步延迟所带来的挑战.
  • 使用事件触发机制开发有效的控制策略.

主要方法:

  • 利用非定向拓图的属性来简化控制器设计.
  • 将系统操作分为同步和延迟模式,以处理异步延迟.
  • 构建一个增强的Lyapunov函数以建立系统稳定条件.
  • 使用事件触发机制 (ETM) 来最大限度地减少控制器更新.
  • 解决线性矩阵不等式 (LMI) 来导出基于ETM的动态控制器.

主要成果:

  • 建立了在异步切换下确保系统稳定的足够条件.
  • 设计了一个动态事件触发控制器,减少了通信和计算.
  • 提出的方法有效地在非线性多代理系统中实现了跟踪共识.
  • 模拟结果验证了开发的控制策略的有效性.

结论:

  • 开发的方法有效地处理非线性多代理系统中的异步延迟.
  • 事件触发机制显著提高了控制效率.
  • 基于LMI的控制器设计确保了系统稳定性和跟踪共识.