Canevi, MehmetYilmaz, Bayram MelihDilaver, Kamil Fatih2019-08-012019-08-012016978-605-01-0923-8https://hdl.handle.net/11480/3718National Conference on Electrical, Electronics and Biomedical Engineering (ELECO) -- DEC 01-03, 2016 -- Bursa, TURKEYThis work begins with LMI formulations of Proportional and Derivative observer designs and continues with derivation of the error dynamics of the Proportional-Derivate observer. Proportional observer and Derivative observer are combined to acquire the Proportional-Derivative observer. The observers which are combined can be designed via LMI methods but the new observer can only be designed via BMI formulations. A substitution is used for a term in the error dynamics in order to obtain the BMI formulation of the proposed observer. The performance is optimized via gain minimization, decay rate maximization and L-2 gain minimization. BARON is used to solve the BMI problem to design a PD observer for the given example. BARON is a software that solves nonconvex optimization problems for global optimality via Branch and Bound optimization algorithm. A comparision of three different designs are given to verify that the optimization criteria are valid.trinfo:eu-repo/semantics/closedAccessProportional-Derivative Observer Design via BMI Approach using BARON OptimizationConference Object2222262-s2.0-85015444440N/AWOS:000401519800042N/A