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TMG parameters have been determined considering multi-domain parameters, and TMG has been tuned using a newly proposed parameter design method.
It has been found that moving the simulator like a real motorcycle to the greatest possible extent does not give the best riding feeling, so gains and other adjustable parameters of the washout filter have been tuned using a trial-and-error procedure based on the subjective evaluation of feelings.
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Alternative, the controller can be tuned using a single parameter.
The frequency can also be tuned using a 100 kO potentiometer connected to a pull-up resistor to VDD and GND.
A SMC is implemented using a PID controller that is tuned using a new algorithm based on hybrid Differential Evolution with a Linearized Biogeography-Based Optimization (LBBO-DE).
Two PI controllers are used in the outer loop for a good tracking performance, which are tuned using a receding horizon optimization procedure.
The performance of these methods is compared and the parameters are tuned using a proposed optimisation technique to meet standard quality effluent at a minimum cost.
Subtractive clustering was employed to transform crisp input data into fuzzy sets and radius of the clusters were tuned using a hybrid of particle swarm optimization and pattern search algorithms.
Upon disturbance rejection, noise reduction, and robust stability of the control system, three fitness functions are presented by which the DOB is tuned using a multi-objective optimization (MOO) approach namely non-dominated sorting genetic algorithm-II (NSGA-II).
Based on the post-layout simulation results, the VCO can be tuned using a DC voltage of 0 to 3.3 V for 5 different frequency bands (2.27 2.51 GHz, 2.48 2.78 GHz, 3.22 3.53 GHz, 3.48 3.91 GHz and 4.528 5.7 GHz) with a maximum bandwidth of 1.36 GHz and a minimum bandwidth of 300 MHz.
The algorithm parameters are tuned using a 10 replicated 34 experimental design.
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