Robust stabilizability algorithms with application to force control of a hydraulic actuator

In this paper a recursive algorithm for robustly stabilizing an uncertain gained controlled polynomial with affine linear coefficients, is presented. The finite step algorithm is constructed using the results of Hurwitz invariability and the respective results of simulated annealing tuning techniques. The algorithm is appropriately modified expanding the search horizon of previous algorithms aiming in finding the best solution for the arbitrary gains of the polynomial over all system uncertainties. The respective results are applied to an uncertain hydraulic system in order to control the applied hydraulic force. Closed loop system simulation results show the efficiency of the proposed robust controller in uncertain environment.