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The number of states associated with the controller is fixed.
The stability region associated with the controller parameters is analytically determined by decomposing the closed-loop system's characteristic polynomial into the odd and even parts.
Finally, based on the obtained feasible area and appropriate objective function, the optimal values associated with the controller parameters are determined using the genetic algorithm (GA).
To overcome this difficulty, a new design technique of a fuzzy logic controller is proposed, that greatly simplifies the design procedure by defining simplified design parameters associated with the controller.
Using these upper bound results, the combined design of the damping parameters and the ℋ2 static controller is formulated as an LMI optimization problem with respect to the damping coefficients of the structural system and the feedback gains associated with the controller.
The paper will discuss the design issues associated with the controller – including the design of the sliding surface, the nonlinear gain required to maintain sliding, and sufficient conditions to ensure the closed –loop system remains stable for a class of faults and failures.
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The combinatorial complexities associated with the controllers are disentangled from the formulation, but the process and its control structure are still designed simultaneously.
The appealing feature of the method is that, as the main part of the design is done using standard sector results, the computation associated with the improved controller is essentially the same as with the standard controller.
The appealing feature of the method is that, as the main part of the design proceeds using standard sector results, the computation associated with the improved controller is essentially the same as with the standard controller.
A closed-loop fuel controller associated with the proposed position controller and a flow meter is then proposed based on multi-loop control structure in order to achieve required linear input output relationship.
The rationale behind this is the fact that the complexity associated with these controllers is such that we need first to devise novel means for evaluating the core logic that enables adaptation, before exploring the ensemble target system plus controller.
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