Fuzzy Observer, Fuzzy Controller Design, and Common Hurwitz Matrices for a Class of Uncertain Nonlinear Systems

  • Shuli Guo
  • Lina Han


In the chapter, fuzzy state observers and fuzzy controllers are developed for a type of uncertain nonlinear systems. The systems are represented by more general fuzzy modeling. Many interesting results are obtained as follows: First, by constructing Lyapunov function approaches and inequalities tools, the adaptive observer laws including Riccati equations, two differentiators, and many solvability conditions about the above Riccati equations are presented. Second, based on Lyapunov function approaches and the same inequalities tools, the proposed controllers are designed to guarantee the stability of the overall closed-loop systems, and many solvability conditions on the proposed controllers are analyzed too. More importantly, we give the structure of the common stable matrixes for this kind of control problem, including their disturbance structures and Lie algebra conditions. Finally, numerical simulations on the magnetic levitation systems show the effectiveness of our approaches.



This work is Supported by National Key Research and Development Program of China (2017YFF0207400).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Key Laboratory of Complex System Intelligent Control and Decision, School of AutomationBeijing Institute of TechnologyBeijingChina
  2. 2.Department of Cardiovascular Internal Medicine of Nanlou Branch, National Clinical Research Center for Geriatric DiseasesChinese PLA General HospitalBeijingChina

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