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Varying control gain

Xem 1-5 trên 5 kết quả Varying control gain
  • This study focuses on a constrained consensus problem of heterogeneous linear multiagent systems with nonconvex input constraints and switching graphs. A distributed control algorithm with the time-varying gain is presented to ensure the control input of each agent to stay in a nonconvex set and make all agents reach to a common point.

    pdf9p guernsey 28-12-2021 12 0   Download

  • An experiment was conducted to study the effect of varying levels of garlic supplementation on growth performance and body condition score in Murrah buffalo calves. In a CRD model, 18 Murrah buffalo calves in the age group of 4-5 months were randomly divided into three groups (T0, T1 and T2) with six calves in each group. The T0 group served as the control whereas the T1 and T2 groups were supplemented with garlic powder at the dose rate of 250 and 300 mg per kg body weight, respectively for a period of 90 days.

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  • The present study was carried out to understand the dietary ginger, garlic and fenugreek on growth performance on Litopenaeus vannamei L. Vannamei was fed with three different herbal powder of ginger, garlic and fenugreek of varying levels of 1%, 2.5%, 5%, 2%, 4%, 6%, 0.5%, 1% and 1.5% of concentrations respectively to assess the optimal growth promoting potential. The feeding trial was continued for 63 days with triplicates in each treatment. The growth parameters (ABW, weight gain, SGR), feed efficiency parameters (FCR) and survival rate were significantly (P ginger > fenugreek > control.

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  • A study was conducted at Tra Vinh University to evaluate the effect of Operculia turpethum on increasing weight gain and feeding efficiency of this kind in feeding Bach Thao goats. The study was arranged in a completely randomized design with four treatments and three replications, using 12 Bach Thao goats with an average live weight of 13.0 ± 1.18 kg. Four treatment groups were given with varying levels of Operculia turpethum in the diets: 0% (OT0, control), 25% (OT25), 35% (OT35) and 45% (OT45) respectively.

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  • All practical systems contain nonlinear dynamics. Control system development for these systems has traditionally been based on linearized system dynamics in conjunction with linear control techniques. Sometimes it is possible to describe the operation of systems by a linear model around its operating points. Linearized system can provide approximate behavior of the system. But in analyzing the overall system behavior, the resulting system model is inadequate or inaccurate. Moreover, the stability of the system cannot be guaranteed.

    pdf0p wqwqwqwqwq 06-07-2012 92 15   Download



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