Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

338
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
338
Feedback control systems01:26

Feedback control systems

685
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...
685
Control Systems01:10

Control Systems

1.8K
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...
1.8K
Control System Problem01:21

Control System Problem

399
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
399
Controller Configurations01:22

Controller Configurations

346
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
346
Pole and System Stability01:24

Pole and System Stability

894
The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
894

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

On Safe Sliding Mode Control Design for Nonlinear Uncertain Systems.

IEEE transactions on cybernetics·2026
Same author

Safety-critical controller design for nonlinear systems: Stabilization and robustness.

ISA transactions·2025
Same author

Retraction notice to "SqueezeNet for the forecasting of the energy demand using a combined version of the sewing training-based optimization algorithm" [Heliyon 9 (2023) e16827].

Heliyon·2025
Same author

An innovative machine learning based on feed-forward artificial neural network and equilibrium optimization for predicting solar irradiance.

Scientific reports·2024
Same author

Skin cancer diagnosis (SCD) using Artificial Neural Network (ANN) and Improved Gray Wolf Optimization (IGWO).

Scientific reports·2023
Same author

SqueezeNet for the forecasting of the energy demand using a combined version of the sewing training-based optimization algorithm.

Heliyon·2023

相关实验视频

Updated: Jan 14, 2026

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.4K

对于具有一般输入约束的非线性系统,稳定和跟踪控制不足于最佳.

Mohammad Hosein Sabzalian1, Yazdan Batmani2

  • 1Department of Mechanical Engineering, Faculty of Engineering, University of Santiago of Chile (USACH), Avenida Libertador Bernardo O'Higgins 3363, 9170022, Santiago, Chile.

ISA transactions
|October 27, 2025
PubMed
概括
此摘要是机器生成的。

本研究提出了非线性系统的新状态依赖里卡蒂方程 (SDRE) 控制策略,确保稳定性和精确的轨迹跟踪,同时尊重输入约束. 该方法保证了系统的稳定性和严格遵守控制输入限制.

关键词:
输入约束 输入限制非线性系统是非线性系统.稳定化 稳定化 稳定化国家依赖的Riccati方程.轨迹跟踪控制器控制器的轨迹跟踪控制器

更多相关视频

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

9.1K
Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

10.0K

相关实验视频

Last Updated: Jan 14, 2026

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.4K
Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

9.1K
Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

10.0K

科学领域:

  • 控制理论 控制理论
  • 非线性系统分析 非线性系统分析
  • 优化技术 优化技术

背景情况:

  • 非线性系统经常面临控制输入限制的挑战.
  • 在这些约束条件下实现最佳稳定和轨迹跟踪至关重要.
  • 现有的方法可能难以同时保证稳定性和约束满足.

研究的目的:

  • 引入一种基于国家依赖的里卡蒂方程 (SDRE) 的新型控制策略.
  • 解决和满足非线性系统中的控制输入约束.
  • 能够实现最佳的稳定和轨迹跟踪.

主要方法:

  • 使用具有集成控制和输入障碍状态的增强系统.
  • 采用国家依赖系数 (SDC) 表示来构建系统.
  • 开发SDC矩阵构造的系统程序,以确保里卡蒂方程的可解决性.
  • 为增强系统的点向稳定性和检测性建立条件.

主要成果:

  • 为非线性系统保证了非对称的闭环稳定性.
  • 确保严格满足控制输入约束.
  • 在输入约束下成功扩展了随时间变化的轨迹跟踪方法.
  • 通过四个模拟案例研究证明了有效性和稳定性.

结论:

  • 拟议的SDRE框架为具有输入约束的非线性系统的最佳控制提供了一个强大的解决方案.
  • 该方法通过严格的理论分析来确保稳定性和约束满足.
  • 这种方法对于稳定和复杂的轨迹跟踪任务都是有效的.