Adaptive backstepping H tracking control with prescribed performance for internet congestion.

Adaptive backstepping H tracking control with prescribed performance for internet congestion.

Liu, Yang;Liu, Xiaoping;Jing, Yuanwei;Zhou, Shaowei;
ISA transactions 2018 Vol. 72 pp. 92-99
221
liu2018adaptiveisa

Abstract

This paper extends the well-known control method, prescribed performance control (PPC), to network congestion control problems. An adaptive H tracking problem for Transmission Control Protocol/Active Queue Management (TCP/AQM) system with external disturbance is studied. Firstly, a modified network model is given. And then, the model is changed to an equivalent error model by using error transformation. Next, to solve the network congestion problem, prescribed performance, backstepping technique, adaptive control and H control are combined to design a congestion controller. Due to the use of prescribed performance, the controller can guarantee both the transient and steady state performance of the system. Meanwhile, the output of the system can track the desired queue, and unknown link capacity can be estimated. Finally, a simulation result is shown to clarify the feasibility and effectiveness of proposed approach.

Citation

ID: 13271
Ref Key: liu2018adaptiveisa
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
13271
Unique Identifier:
S0019-0578(17)30576-1
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet