Structure identification of fuzzy model
Fuzzy Sets and Systems
Advances in linear matrix inequality methods in control: advances in design and control
Advances in linear matrix inequality methods in control: advances in design and control
Branch-and-Cut Algorithms for the Bilinear Matrix Inequality Eigenvalue Problem
Computational Optimization and Applications
Robust Systems Theory and Applications
Robust Systems Theory and Applications
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
Stability conditions of fuzzy systems and its application to structural and mechanical systems
Advances in Engineering Software
Robustness design of nonlinear dynamic systems via fuzzy linear control
IEEE Transactions on Fuzzy Systems
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This article proposes a method for designing parallel-distributed compensation fuzzy state-feedback controllers for nonlinear systems affected by persistent disturbances. Firstly, some methods proposed in the literature are analyzed and their weak points are discussed. A design scheme based on minimizing the 1-norm between the disturbance signal input and output is then proposed. Specifically, an upper bound on this norm, the *-norm, is minimized, which, unlike the 1-norm, can be formulated in terms of linear and bilinear matrix inequalities. Finally, this method is applied to a nonlinear mechanical system.