Robust output control of multi-agent plants with state delay

Parsheva, Elizaveta; Ternovaja, Galina

doi:10.35470/2226-4116-2019-8-1-38-44

Cited by 2 publications

(1 citation statement)

References 7 publications

(8 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The problem of transferring information from one quadrocopter to another was solved with this procedure. This issue is relevant with the increasing popularity of multi-agent systems (see, for example, [Fax and Murray, 2004;Proskurnikov and Fradkov, 2016;Parsheva and Ternovaja, 2019]). Such systems forms to a group of agents that communicate with each other through a communication channel (see [Tomashevich and Belyavsky, 2017;Andrievskiy et al, 2015;Fradkov et al, 2016]).…”

Section: Introductionmentioning

confidence: 99%

Video encoding with adaptive coding procedure based on multiagent model

Tomashevich

2019

CAP

View full text Add to dashboard Cite

The paper proposes the use of an adaptive coding algorithm for processing and transmitting video signals. Encoding process of video signals intend to divide the color of each pixel into three components (red, green and blue). The whole video frame could be represented as networked system where each pixel is a independent agent. In this case, agents are understood as a system having any dynamics. Thus, the movement of a pixel is described by a change in the intensity of its RGB components. This approach allows us to consider the process of intensity change as the trajectory of the dynamic system and apply observation and coding methods to it. The proposed approach allows to encode signals in real time without their prior complete analysis. Depending on the coding rate and the nature of the signal, it is possible to save the amount of information transmitted as a result of the algorithm. Observer is used to get estimation of colors signals and multiagent model is used to get to accurate estimation process.

show abstract

Section: Introductionmentioning

confidence: 99%

Video encoding with adaptive coding procedure based on multiagent model

Tomashevich

2019

CAP

View full text Add to dashboard Cite

show abstract

$$H_{\infty }$$ Optimization-Based Stabilization for Nonlinear Disturbed Time Delay Systems

Tlili

2020

J Control Autom Electr Syst

View full text Add to dashboard Cite

This paper contemplates designing a H ∞ dynamic output-feedback decentralized control for nonlinear interconnected disturbed time delay systems. Pursuant to Lyapunov-Krasovskii functional techniques and linear matrix inequality methods, asymptotic stability conditions for the robust stability and stabilization of the studied system are conducted in an optimization problem subject to linear matrix inequalities. The resolution of such a problem enables computing jointly the robust observation and control gain matrices, maximizing the bounds of nonlinear interconnections tolerated by the system without being unstable, improving the performance of the proposed control strategy by minimizing a H ∞ criterion and ensuring the stability of the closed-loop system despite exogenous disturbances applied to the subsystems. Simulation results are provided by a prominent application example of a 3-interconnected machine power system with time delay to demonstrate the efficacy of the designed delay-independent control approach.

show abstract

Robust output control of multi-agent plants with state delay

Cited by 2 publications

References 7 publications

Video encoding with adaptive coding procedure based on multiagent model

Video encoding with adaptive coding procedure based on multiagent model

$$H_{\infty }$$ Optimization-Based Stabilization for Nonlinear Disturbed Time Delay Systems

Contact Info

Product

Resources

About