Related Experiment Video
Updated: May 5, 2026

06:31
Force and Position Control in Humans - The Role of Augmented Feedback
Published on: June 19, 2016
7.3K
Robust Dynamic Surface Control for High-Order Strict-Feedback Systems With Output Constraints Based on Fully Actuated
IEEE Transactions on Cybernetics
|March 3, 2026
Summary
This study introduces a robust dynamic surface control method for high-order strict-feedback systems (SFSs) facing asymmetric output constraints and disturbances. The approach ensures system stability and accurate tracking while respecting output limitations.
Area of Science:
- Control Systems Engineering
- Robotics
- Mechatronics
Background:
- High-order strict-feedback systems (SFSs) often face challenges with asymmetric output constraints and external disturbances.
- Existing control methods may struggle to simultaneously address these issues while maintaining system stability.
Purpose of the Study:
- To develop a high-order robust dynamic surface control (DSC) method for SFSs with asymmetric output constraints and external disturbances.
- To simplify control design by utilizing a fully actuated system approach, avoiding transformation to a first-order system.
Main Methods:
- A nonlinear transformation function is introduced to convert output constraints into a bounded problem.
- A robust dynamic surface control strategy is designed based on the fully actuated system framework.
- Stability analysis is performed to verify the boundedness of all closed-loop signals.
Main Results:
- The proposed method ensures all closed-loop signals are uniformly ultimately bounded.
- The system output successfully tracks the reference signal without violating prescribed asymmetric output constraints.
- Numerical simulations demonstrate the effectiveness on robotic manipulator and electromechanical systems.
Conclusions:
- The developed high-order robust DSC method effectively handles asymmetric output constraints and disturbances in SFSs.
- The approach simplifies control design and guarantees system stability and accurate tracking performance.
- Validated through simulations, the method shows significant promise for practical applications in robotics and mechatronics.
Related Concept Videos
Control Systems
1.7K
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...
At the heart...
1.7K
Open and closed-loop control systems
2.0K
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
2.0K
Effects of feedback
1.1K
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
1.1K
Feedback control systems
800
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...
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...
800
Controller Configurations
484
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...
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
484
PD Controller: Design
761
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
761

