Higher-order neural network based root-solving controller for adaptive tracking of stable nonlinear plants

Naveed Razzaq Butt, Muhammad Shafiq

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The use of Intelligent control schemes in Nonlinear Model Based Control (NMBC) has gained widespread popularity. Neural Networks, in particular, have been used extensively to model the dynamics of nonlinear plants. However, in most cases, these models do not lend themselves to easy maneuvering for controller design.Therefore, a common need is being felt to develop intelligent control strategies that lead to computationally simple control laws. To achieve this objective, the present study combines the approximation power of Higher-Order Neural Networks (HONN) with the control-oriented nature of the recently developed U-model. By introducing the U-model equivalence of a Higher-Order Neural Unit (HONU), the control law synthesis part is reduced to a simple polynomial root-solving procedure. The proposed scheme is based on the robust Internal Model Control (IMC) structure and is suitable for stable nonlinear plants with uncertain dynamics. The main feature of the proposed structure is its ability to capture higher-order nonlinear properties of the input pattern space while allowing the synthesis of a simple control law. The scheme is therefore expected to prove extremely useful in the area of nonlinear adaptive control. The effectiveness of the proposed scheme is demonstrated through application to various nonlinear models.

Original languageEnglish
Title of host publicationIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
Publication statusPublished - 2006
EventIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 - Islamabad, Pakistan
Duration: Apr 22 2006Apr 23 2006

Other

OtherIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
CountryPakistan
CityIslamabad
Period4/22/064/23/06

Fingerprint

Neural networks
Controllers
Intelligent control
Polynomials

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Butt, N. R., & Shafiq, M. (2006). Higher-order neural network based root-solving controller for adaptive tracking of stable nonlinear plants. In IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 [1703175]

Higher-order neural network based root-solving controller for adaptive tracking of stable nonlinear plants. / Butt, Naveed Razzaq; Shafiq, Muhammad.

IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006. 2006. 1703175.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Butt, NR & Shafiq, M 2006, Higher-order neural network based root-solving controller for adaptive tracking of stable nonlinear plants. in IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006., 1703175, IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006, Islamabad, Pakistan, 4/22/06.
Butt NR, Shafiq M. Higher-order neural network based root-solving controller for adaptive tracking of stable nonlinear plants. In IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006. 2006. 1703175
Butt, Naveed Razzaq ; Shafiq, Muhammad. / Higher-order neural network based root-solving controller for adaptive tracking of stable nonlinear plants. IEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006. 2006.
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