Related Experiment Video
Updated: Jun 13, 2026
05:47
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
Published on: August 29, 2025
Observer-based hierarchical distributed optimal robust safety consensus control of multi-robot systems under actuator
1China University of Mining and Technology, School of Information and Control Engineering, Xuzhou 221116, China.
ISA Transactions
|June 11, 2026
Summary
This study presents a robust control framework for multi-robot systems (MRS) to achieve optimal safety consensus despite noise and faults. The proposed method ensures reliable coordination and safety in complex environments.
Area of Science:
- Robotics
- Control Systems Engineering
- Distributed Systems
Background:
- Multi-robot systems (MRS) face challenges in achieving consensus due to environmental uncertainties like channel noise, actuator faults, and external disturbances.
- Ensuring safety and optimal performance simultaneously in distributed MRS is a critical and complex problem.
Purpose of the Study:
- To develop a hierarchical distributed robust safety control framework for MRS.
- To address the optimal safety consensus problem under various uncertainties.
- To enhance the robustness and reliability of MRS operations.
Main Methods:
- A three-layer hierarchical control framework is proposed.
- An upper layer features a resilient distributed optimal coordinator for noise-robust reference generation.
- A middle layer utilizes a fixed-time command filter to process reference signals.
- A lower layer employs an observer-based robust safety controller with a fixed-time fault-disturbance observer (FxT-FDO).
- Quadratic programming (QP) is used to solve for the composite robust safety controller.
Main Results:
- The proposed framework effectively generates optimal references despite channel noises.
- The fixed-time command filter successfully eliminates noise impacts on reference signals.
- The FxT-FDO rapidly estimates lumped uncertainties (faults and disturbances).
- The composite robust safety controller ensures MRS achieve optimal safety consensus.
- Simulation results validate the superior robustness of the developed control strategy.
Conclusions:
- The hierarchical distributed robust safety control framework provides an effective solution for the optimal safety consensus problem in MRS.
- The integration of fixed-time observers and controllers enhances system resilience against noise, faults, and disturbances.
- The proposed method guarantees both safety and optimality in complex multi-robot operations.
Related Concept Videos
01:10Control Systems
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...
01:18Hierarchy of Motor Control
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
01:21Distributed Loads: Problem Solving
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...
01:25Distribution Reliability and Automation
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...
01:24One-Degree-of-Freedom System
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
01:26Feedback control systems
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...