Robust adaptive fuzzy controller for a class of non-affine nonlinear systems

This paper present a direct adaptive fuzzy approach for a class of single-input-single-output (SISO) unknown non-affine nonlinear systems. A fuzzy logic system (FLS) is employed to approximate unknown plant nonlinearity. To update the adjustable parameters in FLS, a modified projection gradient algo...

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Published in:2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics pp. 1 - 6
Main Authors: Jie Wen, Changsheng Jiang, Li Zhou, Chengshan Qian
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2008
Subjects:
Adaptive control
Control systems
Fuzzy control
Fuzzy logic
fuzzy logic system
Fuzzy systems
modified projection gradient algorithm
non-affine nonlinear systems
Nonlinear control systems
Nonlinear systems
Programmable control
Robust control
Signal design
ISBN:9781424423859, 1424439086, 9781424439089, 1424423856
Online Access:Get full text
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Abstract This paper present a direct adaptive fuzzy approach for a class of single-input-single-output (SISO) unknown non-affine nonlinear systems. A fuzzy logic system (FLS) is employed to approximate unknown plant nonlinearity. To update the adjustable parameters in FLS, a modified projection gradient algorithm is proposed which combines the advantage of projection gradient adaptive law and sigma - modification adaptive law. This algorithm is designed to ensure all signals involved are uniformly bounded and the track error is guaranteed to be uniformly asymptotically stable with the aid of an addition robust control term. Simulation results demonstrate the effectiveness and performance of the proposed approach.
AbstractList This paper present a direct adaptive fuzzy approach for a class of single-input-single-output (SISO) unknown non-affine nonlinear systems. A fuzzy logic system (FLS) is employed to approximate unknown plant nonlinearity. To update the adjustable parameters in FLS, a modified projection gradient algorithm is proposed which combines the advantage of projection gradient adaptive law and sigma - modification adaptive law. This algorithm is designed to ensure all signals involved are uniformly bounded and the track error is guaranteed to be uniformly asymptotically stable with the aid of an addition robust control term. Simulation results demonstrate the effectiveness and performance of the proposed approach.
Author Chengshan Qian
Changsheng Jiang
Li Zhou
Jie Wen
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  surname: Jie Wen
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  surname: Changsheng Jiang
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  organization: Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
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  surname: Li Zhou
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  organization: Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
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  surname: Chengshan Qian
  fullname: Chengshan Qian
  organization: Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
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Snippet This paper present a direct adaptive fuzzy approach for a class of single-input-single-output (SISO) unknown non-affine nonlinear systems. A fuzzy logic system...
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SubjectTerms Adaptive control
Control systems
Fuzzy control
Fuzzy logic
fuzzy logic system
Fuzzy systems
modified projection gradient algorithm
non-affine nonlinear systems
Nonlinear control systems
Nonlinear systems
Programmable control
Robust control
Signal design
Title Robust adaptive fuzzy controller for a class of non-affine nonlinear systems
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