Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Nonlinear regulation for a class of discrete-time systems
Systems & Control Letters
A review and comparison of six reasoning methods
Fuzzy Sets and Systems
Nonlinear control design: geometric, adaptive and robust
Nonlinear control design: geometric, adaptive and robust
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
A new fuzzy Lyapunov function approach for a Takagi--Sugeno fuzzy control system design
Fuzzy Sets and Systems
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
Piecewise quadratic stability of fuzzy systems
IEEE Transactions on Fuzzy Systems
Stability analysis of discrete-time fuzzy dynamic systems based on piecewise Lyapunov functions
IEEE Transactions on Fuzzy Systems
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
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In this paper, a nonlinear robust regulator, based on fuzzy techniques, is proposed as an alternative procedure design to guarantee stability for a wider range of variation in both the exosystem and the immersion. This robust regulator is a fuzzy error feedback controller which relies on the existence of an internal model, obtained by finding, if possible, an observable immersion of the exosystem dynamics, which allows to generate all the possible steady state inputs for the admissible values of the system parameters in order to track and/or reject time-varying references and/or disturbances, while maintaining the stability conditions of the system. Finally, the proposed fuzzy controller scheme is compared with traditional techniques through a case study to test the robustness properties in the face of parameter uncertainties and changes on load disturbances.