Robust control of discrete time uncertain dynamical systems
Automatica (Journal of IFAC) - Special section on fault detection, supervision and safety for technical processes
Static output feedback—a survey
Automatica (Journal of IFAC)
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Observer-based robust fuzzy control of nonlinear systems with parametric uncertainties
Fuzzy Sets and Systems - Modeling and control
Static output-feedback fuzzy controller for Chen's chaotic system with uncertainties
Information Sciences—Informatics and Computer Science: An International Journal
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
Parameterized linear matrix inequality techniques in fuzzy control system design
IEEE Transactions on Fuzzy Systems
Robust fuzzy control of nonlinear systems with parametric uncertainties
IEEE Transactions on Fuzzy Systems
Technical Communique: Static Output Feedback Stabilization: An ILMI Approach
Automatica (Journal of IFAC)
Brief Delay-dependent robust H∞ control of uncertain linear state-delayed systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Design of distributed H∞ fuzzy controllers with constraint for nonlinear hyperbolic PDE systems
Automatica (Journal of IFAC)
Hi-index | 22.15 |
This paper studies the problem of robust H"2 static output feedback (SOF) fuzzy control for discrete-time nonlinear systems with parametric uncertainties. The Takagi and Sugeno fuzzy model is employed to represent an uncertain discrete-time nonlinear system. A sufficient condition for the existence of robust H"2 SOF fuzzy controllers is presented in terms of a set of matrix inequalities, which not only guarantees the stability of the closed-loop fuzzy system, but also provides an upper bound on the quadratic cost function. A suboptimal robust H"2 SOF fuzzy control problem is addressed in the sense of minimizing the bound. An iterative linear matrix inequality (ILMI) algorithm is proposed to compute the feedback gain matrices of the suboptimal fuzzy controller. Finally, two numerical examples are also provided to demonstrate the effectiveness of the proposed method.