Title :
Fuzzy Boundary Control Design for a Class of Nonlinear Parabolic Distributed Parameter Systems
Author :
Huai-Ning Wu ; Jun-Wei Wang ; Han-Xiong Li
Author_Institution :
Sci. & Technol. on Aircraft Control Lab., Beihang Univ. (Beijing Univ. of Aeronaut. & Astronaut.), Beijing, China
Abstract :
This paper deals with the problem of fuzzy boundary control design for a class of nonlinear distributed parameter systems which are described by semilinear parabolic partial differential equations (PDEs). Both distributed measurement form and collocated boundary measurement form are considered. A Takagi-Sugeno (T-S) fuzzy PDE model is first applied to accurately represent the semilinear parabolic PDE system. Based on the T-S fuzzy PDE model, two types of fuzzy boundary controllers, which are easily implemented since only boundary actuators are used, are proposed to ensure the exponential stability of the resulting closed-loop system. Sufficient conditions of exponential stabilization are established by employing the Lyapunov direct method and the vector-valued Wirtinger´s inequality and presented in terms of standard linear matrix inequalities. Finally, the advantages and effectiveness of the proposed control methodology are demonstrated by the simulation results of two examples.
Keywords :
Lyapunov methods; actuators; asymptotic stability; closed loop systems; control system synthesis; distributed parameter systems; fuzzy control; fuzzy set theory; linear matrix inequalities; nonlinear control systems; partial differential equations; vectors; LMI; Lyapunov direct method; PDE; T-S fuzzy PDE model; Takagi-Sugeno model; boundary actuators; closed-loop system; collocated boundary measurement; distributed measurement form; exponential stability; fuzzy boundary control design; nonlinear parabolic distributed parameter systems; semilinear parabolic partial differential equations; standard linear matrix inequalities; vector-valued Wirtinger inequality; Boundary control; Takagi–Sugeno (T–S) fuzzy model; collocated boundary measurement; distributed measurement; distributed parameter systems;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2013.2269698