A METHOD FOR NEURAL ADAPTIVE CONTROL OF NONLINEAR SYSTEMS AND ITS STABILITY ANALYSIS

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ROUHANI M.; MENHAJ M.B.

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Journal Paper

Paper Information

Journal: JOURNAL OF SCHOOL OF ENGINEERING Year:2002 | Volume:14 | Issue:1 Page(s): 29-40

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Information Journal Paper

Title

A METHOD FOR NEURAL ADAPTIVE CONTROL OF NONLINEAR SYSTEMS AND ITS STABILITY ANALYSIS

Author(s)

ROUHANI M. | MENHAJ M.B. | Issue Writer Certificate

Keywords

NONLINEAR ADAPTIVE CONTROLQ4

NEURAL NETWORKQ3

MODEL REFERENCE ADAPTIVE CONTROLQ4

STABILITY ANALYSISQ3

Abstract

This paper presents a learning algorithm that guarantees stability for a class of closed loop NEURAL NETWORK control systems. The underlying control system, "Plant", represents a nonlinear system. The neuro-controller, which indeed represents a direct adaptive controller, guarantees the closed loop stability for any arbitrary initial values of states and any initial NEURAL NETWORK weight matrices, provided that the adaptive rates of neuro-controller be high enough No pre-learning is required.

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References

DESIGN OF STABILIZING NEURAL NETWORK CONTROLLER FOR A CLASS OF NONLINEAR SYSTEMS

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APA: Copy

ROUHANI, M., & MENHAJ, M.B.. (2002). A METHOD FOR NEURAL ADAPTIVE CONTROL OF NONLINEAR SYSTEMS AND ITS STABILITY ANALYSIS. JOURNAL OF SCHOOL OF ENGINEERING, 14(1), 29-40. SID. https://sid.ir/paper/22620/en

Vancouver: Copy

ROUHANI M., MENHAJ M.B.. A METHOD FOR NEURAL ADAPTIVE CONTROL OF NONLINEAR SYSTEMS AND ITS STABILITY ANALYSIS. JOURNAL OF SCHOOL OF ENGINEERING[Internet]. 2002;14(1):29-40. Available from: https://sid.ir/paper/22620/en

IEEE: Copy

M. ROUHANI, and M.B. MENHAJ, “A METHOD FOR NEURAL ADAPTIVE CONTROL OF NONLINEAR SYSTEMS AND ITS STABILITY ANALYSIS,” JOURNAL OF SCHOOL OF ENGINEERING, vol. 14, no. 1, pp. 29–40, 2002, [Online]. Available: https://sid.ir/paper/22620/en

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