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In this paper, an online auto-calibration method for MicroElectroMechanical Systems (MEMS) triaxial accelerometer (TA) is proposed, which can simultaneously identify the time-dependent model structure and its parameters during the changes of the operating environment. Firstly, the model as well as its associated cost function is linearized by a new proposed linearization approach. Then, exploiting...
In this paper, the application of Optimal Iterative Learning Control (OILC) algorithm in two-dimensional problems is discussed. For this issue by using 1-D model of WAM (Wave Advanced Model), the 2-D model is converted to 1-D model. To generate the control rule in the every iteration, a cost function would be minimized by using optimization methods and the convergence of this method also will be confirmed.
This work presents a fuzzy iterative learning control (FILC) approach for reactive power planning in distribution systems. The reactive power is control by shunt capacitor banks. The problem formulation considers two distinct objectives related to total cost of power loss and total cost of capacitors including the purchase and installation costs. The formulation is a multi-objective and non-differentiable...
In this paper, the application of iterative learning control (ILC) in two-dimensional systems is considered and a method of ILC for 2-D systems is introduced so that the output of the process follows a desired trajectory. In this method the input of process in each iteration is determined by an innovative method called two-dimensional method by means of the obtained error between the output of the...
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