scholarly journals A Hybrid Predictive Type-3 Fuzzy Control for Time-Delay Multi-Agent Systems

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 63
Author(s):  
Amin Taghieh ◽  
Ayman A. Aly ◽  
Bassem F. Felemban ◽  
Ahmed Althobaiti ◽  
Ardashir Mohammadzadeh ◽  
...  
Keyword(s):  
Multi Agent Systems ◽  
Time Step ◽  
Control Laws ◽  
Control Approach ◽  
Agent Systems ◽  
Hybrid Controller ◽  
Multi Agent ◽  
Type 3 ◽  
Unknown Time Delays ◽  
Logic System

In this paper, the consensus problem is addressed for multi-agent systems. The dynamics of each agent contain unknown uncertain/nonlinear terms and unknown time delays. A type-3 fuzzy logic system is developed to tackle the effect of unknown dynamics and design a hybrid controller. The policy scheme involves two control signals for the stabilization of the approximation and consensus error of each agent dynamic. To this end, based on the concept of the model predictive control approach, the constrained control laws are designed and updated at each time step. The simulations results portray the error signals. Feasibility, appropriate convergence, and proper transient response are the main merits of the suggested method.

The Agent Visualization System: A Graphical and Textual Representation for Multi-Agent Systems

2005 ◽  
Vol 4 (2) ◽  
pp. 83-94 ◽  
Author(s):  
Hala Mostafa ◽  
Reem Bahgat
Keyword(s):  
Information Visualization ◽  
Simulation Environment ◽  
Multi Agent Systems ◽  
Agent Based Simulation ◽  
Time Step ◽  
Visualization System ◽  
Agent Based ◽  
Agent Systems ◽  
Simulation Scenario ◽  
Multi Agent

As scientists from various domains increasingly resort to agent-based simulation for a more thorough understanding of real-world phenomena, the need for a simulation environment that facilitates rapid development of multi-agent systems is growing. Such a platform should provide means of visualizing the simulated scenario. In this paper we present the agent visualization system, the first system of its kind to specifically focus on catering to the visualization needs of agent-based simulation. The proposed system is a generic add-on that equips a simulation environment with a rich set of visualization facilities offering a variety of textual and graphical browsers that allow the modeler to detect trends and relationships in the simulation scenario. Some techniques from the field of information visualization were adapted and added to the system, while others were devised especially to be used in it. Regardless of their origin, all visualization techniques were thoroughly revised to make them generic enough to fit in our generic system. Agent visualization is more challenging than traditional information visualization in more than one respect. One of them is that the data to be visualized is not static; the simulation system is constantly producing data with every time step. Moreover, the sheer amount of data, together with its diversity, call for special adaptations to ensure that the system remains responsive and generic. To illustrate the various features of the proposed agent visualization system, we present a visualization of MicroTerra; a simulation scenario involving a group of beings trying to maximize their food intake.

scholarly journals A New Event-Triggered Type-3 Fuzzy Control System for Multi-Agent Systems: Optimal Economic Efficient Approach for Actuator Activating

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3122
Author(s):  
Shurong Yan ◽  
Ayman A. Aly ◽  
Bassem F. Felemban ◽  
Meysam Gheisarnejad ◽  
Manwen Tian ◽  
...  
Keyword(s):  
Sufficient Conditions ◽  
Total Sample ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Actuator Failures ◽  
Approximation Errors ◽  
Multi Agent ◽  
The Stability ◽  
Type 3 ◽  
Event Triggered

This study presents a new approach for multi-agent systems (MASs). The agent dynamics are approximated by the suggested type-3 (T3) fuzzy logic system (FLS). Some sufficient conditions based on the event-triggered scheme are presented to ensure the stability under less activation of the actuators. New tuning rules are obtained for T3-FLSs form the stability and robustness examination. The effect of perturbations, actuator failures and approximation errors are compensated by the designed adaptive compensators. Simulation results show that the output of all agents well converged to the leader agent under disturbances and faulty conditions. Additionally, it is shown that the suggested event-triggered scheme is effective and the actuators are updated about 20–40% of total sample times.

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