Farag, AdelAdelFaragWerner, HerbertHerbertWerner2023-02-272023-02-272005IFAC Proceedings Volumes 16 (1): 171-176 (2005)http://hdl.handle.net/11420/14902This paper considers the design of a controller for an active suspension benchmark problem. For a plant model of 27th order, a 5th order controller that meets performance specifications in terms of sensitivity and control sensitivity is designed, using a novel Hybrid Evolutionary-Algebraic approach to low-order mixed-sensitivity design. This method combines evolutionary techniques with a Riccati approach by splitting the problem into a convex and a non-convex sub- problem. Simulation results demonstrate that a performance superior to that of previously published results can be achieved.en1474-667020051171176ElsevierGenetic algorithmsH1 controlLow order controlRiccati equationTechnikIngenieurwissenschaftenConference Paper10.3182/20050703-6-cz-1902.00428Other