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In this work, a soft sensor based nonlinear controller strategy is presented and applied to control a chemical reactor that exhibit multi-stationary unstable behavior, oscillations and chaos.
Table 1 Controller strategy.
The experimental results are compared with conventional PD controller strategy.
The optimal controller is designed using full-state feedback controller strategy.
Experimental studies are conducted that validate the dynamic model and controller strategy.
Adaptive control with AMBs may hide the fault characteristics of the cracked rotor, rather than helping to diagnose a crack; this will depend on the controller strategy used.
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To show the effectiveness of the proposed method in maintaining the desired voltage at the DER outputs, in presence of unbalanced and nonlinear loads, simulation results are provided for a single DER unit, and the performance of the proposed control strategy is compared with three different controller strategies.
This effort requires a better understanding of how complex situations are related to controller strategies and how controllers intervene to maintain control.
Also, diverse pitch controller strategies are proposed in this paper to evaluate these objectives.
It has long been recognized that controller strategies are based on a 'mental picture' or representation of traffic situations.
Furthermore, in some existing asynchronous controller strategies, it is required that the derivative of the membership function of the system not explicitly depends on the system input.
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