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In order to achieve an optimum controller, at first, the decoupled sliding mode controller is applied to stablize the fourth\u2010order coupled nonlinear systems at the equilibrium point. Then, the multiobjective genetic algorithm is applied to search the optimal coefficients of the decoupled sliding\u2010mode control to improve the performance of the control system. Considered objective functions are the angle and distance errors. Finally, the simulation results implemented in the MATLAB software environment are presented for the inverted pendulum, ball and beam, and seesaw systems to assure the effectiveness of this technique.<\/jats:p>","DOI":"10.1155\/2012\/639014","type":"journal-article","created":{"date-parts":[[2012,8,2]],"date-time":"2012-08-02T21:01:49Z","timestamp":1343941309000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Pareto Design of Decoupled Sliding\u2010Mode Controllers for Nonlinear Systems Based on a Multiobjective Genetic Algorithm"],"prefix":"10.1155","volume":"2012","author":[{"given":"M. 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