A new method for identification of continuous-time systems for robust control is presented, which allows incorporation of frequency dependent weighting functions in the minimization procedure. Parameter estimation and...
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A new method for identification of continuous-time systems for robust control is presented, which allows incorporation of frequency dependent weighting functions in the minimization procedure. Parameter estimation and controller design are applied to a nontrivial double integral mechanical plant. The technique for parameter estimation profits by the properties of Hartley modulating functions (HMF), which make it easy to include frequency dependent weighting, so that only numerically significant spectral elements are used. Additionally, no estimation of initial conditions is neccessary when using HMF. The controller design for the task of closed loop data acquisition is performed by a discrete-time pole placement approach, whereas the final control strategy applies H ∞ norm minimization utilizing the frequency weighted continuous-time model. Experimental studies demonstrate the results of parameter estimation and controller design. The real-time implementation illustrates the improved control performance obtained by the new approach.
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