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This paper presents the combination of generalized predictive and sliding mode control techniques in order to improve the system robustness to parameter variation. The proposed control algorithm belongs to the group of chattering-free sliding mode control laws, and it provides the minimum value of the cost function in the presence of parameter perturbations. Digital simulation results are given to...
A combination of two control methods, sliding mode and fuzzy, for the wheel slip control in anti-lock braking system, is presented in this paper. The fuzzy block is used to determine the values of key parameters important for establishing switching function dynamics. It is demonstrated, via performed experiments, that proposed control algorithm gives good system performances.
A correlation between sensitivity and identificability of the continuous and discrete systems is considered in this paper. First, a method for determining parametric sensitivity is presented and then identification is performed and system identificability is derived directly from the identification error. Based on these results, we have calculated the correlation coefficient between these two systems...
A new control algorithm based on Golo's approach (Systems & Control Letters 41(2000)), for high-precision servomechanism synthesis, is offered in this paper. In the proposed algorithm, an additional integral action, activated at the predefined system state, is introduced. Servomechanisms with the proposed control and by introducing a compensation of disturbance caused by reference derivative,...
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