Abstract
This paper is concerned with the problem of multiobjective $$H_{2}/H_{\infty }$$ control for uncertain nonlinear stochastic systems with state-delay. The main aim is to get the multiobjective $$H_{2}/H_{\infty }$$ optimization performance in Pareto optimal sense. By applying T–S fuzzy approach, the multiobjective $$H_{2}/H_{\infty }$$ fuzzy control problem is transformed into linear matrix inequality (LMI)-constrained multiobjective problem (MOP). In addition, we efficiently solve Pareto optimal solutions for the MOP of fuzzy control design problem by employing LMI-based multiobjective evolution algorithm. The designers can freely select multiobjective $$H_{2}/H_{\infty }$$ control scheme according to their own preferences. Finally, a financial system example is given to illustrate the effectiveness and usefulness of the proposed method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
