Nonlinear systems analysis (2nd ed.)
Nonlinear systems analysis (2nd ed.)
Nonlinear model-based control using second-order Volterra models
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
Expert Systems with Applications: An International Journal
Takagi-Sugeno neural fuzzy modeling approach to fluid dispensing for electronic packaging
Expert Systems with Applications: An International Journal
LMI static output-feedback design of fuzzy power system stabilizers
Expert Systems with Applications: An International Journal
The compact fuzzy filter design via Takagi-Sugeno fuzzy models
Expert Systems with Applications: An International Journal
Hybrid robust approach for TSK fuzzy modeling with outliers
Expert Systems with Applications: An International Journal
Recurrent neuro fuzzy control design for tracking of mobile robots via hybrid algorithm
Expert Systems with Applications: An International Journal
Fuzzy model-based control of complex plants
IEEE Transactions on Fuzzy Systems
Robustness design of nonlinear dynamic systems via fuzzy linear control
IEEE Transactions on Fuzzy Systems
Robust fuzzy control of nonlinear systems with parametric uncertainties
IEEE Transactions on Fuzzy Systems
Fuzzy target tracking control of autonomous mobile robots by using infrared sensors
IEEE Transactions on Fuzzy Systems
Robust H∞ control for fuzzy systems with Frobenius norm-bounded uncertainties
IEEE Transactions on Fuzzy Systems
Observer-Based Stabilization of T–S Fuzzy Systems With Input Delay
IEEE Transactions on Fuzzy Systems
Expert Systems with Applications: An International Journal
Iterative performance improvement of fuzzy control systems for three tank systems
Expert Systems with Applications: An International Journal
Stable and convergent iterative feedback tuning of fuzzy controllers for discrete-time SISO systems
Expert Systems with Applications: An International Journal
Robust observer-based output feedback control for fuzzy descriptor systems
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
This paper proposes a fuzzy bilinear scheme including a fuzzy modeling method and a fuzzy controller for a class of uncertain nonlinear systems with an additive disturbance input. Firstly, this procedure of modeling describes how to transform a nonlinear system into a fuzzy bilinear system (FBS). For controller design problem, the parallel distributed compensation (PDC) method is adopted to design a fuzzy controller which ensures the robust asymptotic stability of the uncertain T-S FBS with an additive disturbance input and guarantees an H"~ norm bound constraint on disturbance attenuation. Besides, some sufficient conditions are derived to guarantee the robust stabilization of the overall fuzzy control system via linear matrix inequalities (LMIs). Finally, the Van de Vusse reactor (Chen, Lin, Lin, & Tong, 2008; Chong & Zak, 1996; Kashiwagi & Rong, 2002; Li, Tsai, Lee, Hsiao, & Chao, 2008; Perez, Ogunnaike, & Devasia, 2000) with additive disturbance input is utilized to demonstrate the validity and feasibility of the proposed control scheme.