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相关概念视频

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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Feedback control systems01:26

Feedback control systems

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
281
Control Systems01:10

Control Systems

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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
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Classification of Systems-II01:31

Classification of Systems-II

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Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
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Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
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BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

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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....
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相关实验视频

Updated: Jun 3, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
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基于未知输入观察者的离散时间TS模糊多代理系统的分布式共识控制.

Xufeng Ling1, Haichuan Xu2, Weijie Weng3

  • 1School of Artificial Intelligence, Shanghai Normal University Tianhua College, Shanghai 201815, China.

Sensors (Basel, Switzerland)
|January 8, 2025
PubMed
概括
此摘要是机器生成的。

本研究开发了Takagi-Sugeno模糊多代理系统 (MAS) 的未知输入观察者 (UIO),以实现共识. 拟议的方法使代理商能够通过估计系统状态和未知的输入来达成协议.

关键词:
TS模糊系统的模糊系统.分布式共识共识是分布式共识.多个代理系统多个代理系统.不知名的输入观察者区域拓理论是什么?

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科学领域:

  • 控制系统工程 控制系统工程
  • 人工智能的人工智能
  • 系统理论 系统理论

背景情况:

  • 在多个代理系统 (MAS) 中,共识对于协调行为至关重要.
  • 塔卡吉-苏杰诺 (T-S) 模糊模型被广泛用于表示非线性系统.
  • 未知输入对观察者设计和系统控制构成重大挑战.

研究的目的:

  • 为了解决TS模糊的MAS与未知输入的共识问题.
  • 为状态和未知输入估计设计一个未知输入观察器 (UIO).
  • 开发一个分布式控制协议,以实现共识.

主要方法:

  • 使用区域图形理论进行状态间隔估计.
  • 为UIO构建建立一个代数关系.
  • 开发基于UIO估计的分布式控制协议.

主要成果:

  • 一个有效的UIO是为了估计系统状态和未知的输入而设计的.
  • 使用UIO开发了一个分布式控制协议.
  • 拟议的控制协议确保了T-S模糊MAS中的非对称共识.

结论:

  • 提出的基于UIO的方法有效地解决了TS模糊MAS与未知输入的共识问题.
  • 该方法通过模拟示例进行验证,证明其实际适用性.