Dynamic Output Feedback Predictive Control for Nonlinear Systems Represented by a Takagi-Sugeno Model

作者：Ding Baocang^*

来源：IEEE Transactions on Fuzzy Systems, 2011, 19(5): 831-843.

DOI：10.1109/TFUZZ.2011.2147320

• Dynamic output feedback
• linear matrix inequality (LMI)
• model predictive control (MPC)
• quadratic boundedness (QB)
• Takagi-Sugeno (T-S) fuzzy model

This paper addresses the output feedback predictive control for a Takagi-Sugeno (T-S) fuzzy system with bounded noise. The controller optimizes an infinite-horizon objective function respecting the input and state constraints. The control law is parameterized as a dynamic output feedback that is dependent on the membership functions, and the closed-loop stability is specified by the notion of quadratic boundedness. Online algorithms that guarantee the recursive feasibility of the convex optimization problem and the convergence of the augmented state to a neighborhood of the equilibrium point are proposed in this paper. A numerical example is given to illustrate the effectiveness of the proposed output feedback controllers.

• 出版日期2011-10
• 单位重庆大学