Reliable linear-quadratic state-feedback control
Automatica (Journal of IFAC)
A necessary and sufficient condition for output feedback stabilizability
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
Reliable LQ fuzzy control for nonlinear discrete-time systems via LMIs
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Reliable LQ fuzzy control for continuous-time nonlinear systems with actuator faults
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Mixed H2/H∞ fuzzy output feedback control design for nonlinear dynamic systems: an LMI approach
IEEE Transactions on Fuzzy Systems
Parameterized linear matrix inequality techniques in fuzzy control system design
IEEE Transactions on Fuzzy Systems
H∞ fuzzy output feedback control design for nonlinear systems: an LMI approach
IEEE Transactions on Fuzzy Systems
On relaxed LMI-based designs for fuzzy regulators and fuzzy observers
IEEE Transactions on Fuzzy Systems
Brief Paper: Reliable State Feedback Control System Design Against Actuator Failures
Automatica (Journal of IFAC)
Brief paper: Reliable stabilization using a multi-controller configuration
Automatica (Journal of IFAC)
Technical Communique: Static Output Feedback Stabilization: An ILMI Approach
Automatica (Journal of IFAC)
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Switching fuzzy dynamic output feedback H∞ control for nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Observer-based robust H∞reliable control for uncertain T-S fuzzy systems with state time delay
IEEE Transactions on Fuzzy Systems
Insensitive reliable H∞ filtering against sensor failures
Information Sciences: an International Journal
Hi-index | 22.14 |
This paper is concerned with the design of reliable mixed L"2/H"~ static output feedback (SOF) fuzzy controllers for nonlinear continuous-time systems with complete sensor faults. The Takagi and Sugeno (T-S) fuzzy model is employed to represent a nonlinear system. A sufficient condition for the existence of reliable mixed L"2/H"~ SOF fuzzy controllers is presented in terms of a set of quadratic matrix inequalities (QMIs), which not only guarantees that the closed-loop fuzzy system satisfies a desired H"~ disturbance attenuation constraint for all admissible operating regimes (including the normal and sensor fault cases), but also provides different upper bounds on the L"2 performance criterion for different operating regimes. A suboptimal reliable fuzzy controller is obtained by the proposed iterative linear matrix inequality (ILMI) algorithm for minimizing the normal L"2 performance bound, while maintaining acceptable lower levels of the bounds in the sensor fault cases. Finally, a numerical example is given to illustrate the effectiveness of the proposed design method.