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The wait time concept is also employed to release the magnitude of velocity changes by minimizing the performance index.
By minimizing the performance index mainly consists of SIP, a new model-free control algorithm is obtained for the considered multivariable nonlinear and non-Gaussian stochastic systems.
The suspension system is optimized by minimizing the performance index containing the mean-square values of body accelerations (including effects of heave and pitch), tire deflections and front and rear suspension rattle spaces.
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For a given feedback gain which asymptotically stabilizes the closed-loop system, a sequence of free control inputs is calculated by minimizing the nominal performance cost over the perturbation horizon N. The nominal model of the process is included in the controller design in order to improve control performance.
This criterion determines the gains by minimizing the smoothing performance index (sigma _{mathrm {p}}^{2}) under the condition that the tracking performance index e fin is constant [31].
The state variables of the vehicle-beam system are estimated by using a Kalman filter with noisy measurements as inputs, and the active control is determined by minimizing the given performance index.
The optimal control for the active suspension is determined by minimizing the quadratic performance index composed of the state variables and control efforts, and then the active suspension structure has a cascade feedback loop composed of the Kalman filter and the optimal controller.
By minimizing the sum of this performance measure and a sparsity-promoting penalty function, the alternating direction method of multipliers identifies sparsity structures that strike a balance between the performance measure and the number of edges in the graph.
Our future work will focus on improving the TBUT performance, by minimizing the innocent node booking.
For example, one can utilize the expression for probability of outage to design a receiver that can optimization the system performance by minimizing the probability of outage.
Online tuning of the membership functions and control rules of fuzzy controller is carried out using simulated annealing (SA) to obtain improved performance by minimizing the error function.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com