Kuo-Jung Lin

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This brief considers the problem of stabilization of uncertain singularly perturbed systems with pole-placement constraints by using dynamic output feedback design. Based on the Lyapunov stability theorem and the tool of linear matrix inequality (LMI), we solve dynamic output feedback gain matrices and a set of common positive-definite matrices, and then(More)
This paper addresses stabilizing a class of fuzzy control systems with a guaranteed H control performance via a new descriptor system approach. Based on the sector nonlinearity concept of Tanaka and Wang (2001) [1], the uncertain nonlinear system can be exactly represented by T–S fuzzy models. Then, we propose using the composite state and output feedback(More)
This paper presents the composite fuzzy control to stabilize the nonlinear singularly perturbed (NSP) systems with guaranteed control performance. We use the Takagi-Sugeno (T-S) fuzzy model to construct the singularly perturbed fuzzy (SPF) systems. The corresponding fuzzy slow and fast subsystems of the original SPF system are also obtained. At first, a set(More)
  • Kuo-Jung Lin
  • 2012 International conference on Fuzzy Theory and…
  • 2012
This paper addresses the model reference fuzzy tracking control design for a class of uncertain singularly perturbed nonlinear (USPN) systems. Based on the Lyapunov stability theorem and the tool of linear matrix inequality (LMI), we solve fuzzy controller gain matrices and some common positive-definite matrices and then two sufficient conditions are(More)
  • Kuo-Jung Lin
  • 2013 International Conference on Fuzzy Theory and…
  • 2013
In this paper, we consider the problem of composite state and output feedback fuzzy control design for fuzzy time-delay systems with uncertainties via descriptor system approach. We can solve all the state and output feedback controller gain matrices, and some common positive-definite matrices via the Lyapunov stability theorem and the tool of linear matrix(More)
  • Kuo-Jung Lin
  • 2013 International Conference on Advanced…
  • 2013
In this paper, we propose the stabilization of discrete-time fuzzy systems. Firstly, the discrete-time fuzzy systems will be represented as a discrete-time descriptor fuzzy systems. Then, we propose using composite state and output feedback controller to stabilize the discrete-time descriptor fuzzy systems. Based on the Lyapunov stability theorem, we derive(More)
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