PDC Intelligent control-based theory for structure system dynamics

Publication Date

4-1-2020

Document Type

Article

Publication Title

Smart Structures and Systems

Volume

25

Issue

4

DOI

10.12989/sss.2020.25.4.401

First Page

401

Last Page

408

Abstract

This paper deals with the problem of global stabilization for a class of nonlinear control systems. An effective approach is proposed for controlling the system interaction of structures through a combination of parallel distributed compensation (PDC) intelligent controllers and fuzzy observers. An efficient approximate inference algorithm using expectation propagation and a Bayesian additive model is developed which allows us to predict the total number of control systems, thereby contributing to a more adaptive trajectory for the closed-loop system and that of its corresponding model. The closed-loop fuzzy system can be made as close as desired, so that the behavior of the closed-loop system can be rigorously predicted by establishing that of the closed-loop fuzzy system.

Keywords

Automated design, Bayesian additive model, Intelligent control function

Department

Applied Data Science

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