Abstract
This paper studies the synthesis approach of dynamic output feedback model predictive control (OFMPC) for nonlinear networked control systems (NCSs), which can be described by interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy model. The Bernoulli random binary distribution is exploited to describe the process of packet loss in NCSs. Compared with the existed output feedback model predictive controller based on traditional state observer, the parameter dependent dynamic OFMPC which minimizes the upper bound of a quadratic objective function in an infinite horizon is designed by applying the notion of quadratic boundedness. A numerical example is given to demonstrate the effectiveness of the proposed new design techniques.
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