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Second algorithm is a designed parameter identification algorithm based on the genetic algorithm method.
This paper proposes an optimization approach based on a newly designed parameter set self-evolutionary process.
Compared with the designed parameter ξ = 0.82 from Table 1, the calibration results indicate that the upper and lower omnidirectional cameras were both correctly installed.
The INT2 mode is found to be not a stable outcome of the system, except for some carefully designed parameter sets.
A specifically designed parameter transformation ensures that the grid points stay in their feasible regions during optimization.
In order to stabilize the closed-loop system, the determination of designed parameter of controllers is discussed.
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Numerical simulations on both bump and random road responses show that the designed parameter-dependent controllers can achieve good active suspension performance regardless of the variation on the sprung mass and the presence of actuator time delay.
where is the design parameter.
The key design parameter is the non-dimensional coupling length.
A crossover probability is chosen as a design parameter.
The former can be used as a design parameter.
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