Abstract

Complex Engineering Systems are generally represented in terms of a set of interconnected systems that their collective/global behaviors/properties are somewhat difficult to be predicted or managed. The context of complex engineering systems is mainly concerned with developing multi-component engineering systems, designs, or algorithms to exploit those unpredictable collective/global behaviors/properties. Complexity in Engineering Systems is in general manifested in component, product, system, interconnections of interacting subsystems or multidisciplinary system designs. In a broad sense, complexity is related to the expected amount of information may need to describe a dynamical system.

Highlights

  • The research of nonlinear systems has always been the most popular topic in control theory and applications

  • The fault prognostics when the degradation phenomena exhibit nonlinear and time-varying dynamics by error based revolving T-S fuzzy model in[2]; An input-output stabilization issue for time-delay systems via T-S fuzzy method was studied in[3]; In[4], the fuzzy observer design and H∞ controller designs for T-S fuzzy systems were investigated, for more details, see[5,6,7] and references therein

  • A state observer relying on estimated premise variables was constructed, based on which an integral switching surface has been developed

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Summary

Introduction

The research of nonlinear systems has always been the most popular topic in control theory and applications. Since no matter from internal and external perturbations or mechanism of dynamics, systems suffer from nonlinearities is more common in practice. Many traditional tools were good at tackling linear systems www.comengsys.com The fault prognostics when the degradation phenomena exhibit nonlinear and time-varying dynamics by error based revolving T-S fuzzy model in[2]; An input-output stabilization issue for time-delay systems via T-S fuzzy method was studied in[3]; In[4], the fuzzy observer design and H∞ controller designs for T-S fuzzy systems were investigated, for more details, see[5,6,7] and references therein

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