Related Experiment Video
Updated: Dec 27, 2025

10:16
A Protocol for Real-time 3D Single Particle Tracking
Published on: January 3, 2018
15.2K
Fixed-time terminal sliding mode tracking protocol design for high-order multiagent systems with directed
1Department of Electrical Engineering, School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
ISA Transactions
|March 3, 2020
Summary
This study introduces a new fixed-time consensus tracking protocol for multi-agent systems (MAS) with directed communication. The novel method ensures faster state estimation and tunable control gains for improved system coordination.
Area of Science:
- Control Systems Engineering
- Robotics
- Networked Systems
Background:
- Multi-agent systems (MAS) with directed communication topologies present challenges in achieving consensus.
- Asymmetric communication links hinder effective state estimation and coordinated control.
- Existing consensus protocols often lack precise convergence time guarantees.
Purpose of the Study:
- To develop a novel fixed-time consensus tracking protocol for high-order multi-agent systems (MAS).
- To achieve fixed-time leader's state estimation despite asymmetric communication topology.
- To design a controller with tunable gains based on a pre-specified consensus time.
Main Methods:
- A new distributed observer is proposed for fixed-time leader state estimation.
- A series of terminal sliding surfaces are constructed.
- A singularity-free sliding mode fixed-time tracking protocol is developed.
Main Results:
- The proposed tracking protocol guarantees fixed-time consensus tracking for the MAS.
- The controller gain can be determined from the pre-specified time, allowing for tailored tuning.
- A less conservative estimation of the convergence time bound is achieved.
Conclusions:
- The developed protocol effectively achieves fixed-time consensus tracking in high-order MAS with directed communication.
- The approach provides precise control over convergence time and enhances system coordination.
- Simulation results validate the efficacy of the proposed fixed-time consensus tracking scheme.
Related Concept Videos
State Space Representation
469
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Consider an RLC circuit, a...
469
One-Degree-of-Freedom System
738
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...
738
Transfer Function to State Space
695
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an RLC...
In an RLC...
695
Multimachine Stability
500
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:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
500
Relative Motion Analysis using Rotating Axes-Problem Solving
648
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
Here, in order to determine the magnitude of velocity and acceleration for point...
648
Multi-input and Multi-variable systems
334
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 of...
In the absence of...
334

