control parameter optimization of a pre-stressed, shallow cylindrical panel relative to a specified quadratic performance measure is investigated. The excessive transient panel vibrations are suppressed by means of a ...
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control parameter optimization of a pre-stressed, shallow cylindrical panel relative to a specified quadratic performance measure is investigated. The excessive transient panel vibrations are suppressed by means of a combination of open-loop and closed-loop controls. Based on the assumption that the closed-loop control law is proportional, the optimal open-loop control is derived in closed form through minimization of the performance measure via a calculus-of-variations approach. Subsequently, the optimal feedback control parameter is obtained numerically. Numerical results and simulation are presented and indicate that a feedback control mechanism may be effectively utilized in the presence of an open-loop control. (C) 1997 John Wiley & Sons, Ltd.
Aimed at the problem of the grey wolf optimizer (GWO) algorithm of low convergence speed and easily falling into local optimum, this paper proposes a nonlinear control parameter strategy based on sinusoidal function (...
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ISBN:
(纸本)9781728140940
Aimed at the problem of the grey wolf optimizer (GWO) algorithm of low convergence speed and easily falling into local optimum, this paper proposes a nonlinear control parameter strategy based on sinusoidal function (GWO-SIN) and a nonlinear control parameter combination (GWO-COM) strategy. In order to verify the validity and advantages and disadvantages of the proposed nonlinear control parameter strategies, selected the adjustment parameter values of GWO-COM from five different adjustment parameter values by test results of simulation of four benchmark functions. Then, this paper compares against the original GWO and four GWO based on different nonlinear control parameter strategies on a set of well-known benchmark functions. Experimental results show that the nonlinear control parameter combination (GWO-COM) strategy is superior to the others and the IGWO (an improved grey wolf algorithm for global optimization), and the optimization result of the GWO-SIN algorithm is similar to GWO-COM in the multi-peak test function.
In this paper, we have found necessary and sufficient conditions under which two Abel equations with coefficients depending on a control parameter are locally equivalent with respect to the same pseudogroup of feedbac...
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We are interested in a distribution of the loops on the logistic map over integers where the control parameter is less than 4. When the control parameter is equal to 4, we have already presented that we can classify a...
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ISBN:
(纸本)9784885522673
We are interested in a distribution of the loops on the logistic map over integers where the control parameter is less than 4. When the control parameter is equal to 4, we have already presented that we can classify a loop on the map over integers into one of the loops on the map over real domain with the same period. In this present paper, we investigate loops on the map over integer with the control parameter is less than 4 by using exhaust search. We show a distribution of these loops and classify them.
We obtain the stationary probability distribution functions of the order parameter near onset for the one-dimensional real Ginzburg-Landau and Swift-Hohenberg equations with a fluctuating control parameter. A perturba...
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We obtain the stationary probability distribution functions of the order parameter near onset for the one-dimensional real Ginzburg-Landau and Swift-Hohenberg equations with a fluctuating control parameter. A perturbative expansion in the intensity of the fluctuations leads to a hierarchy of Fokker-Planck equations for conditional probability distribution functions that relate components of the order parameter that evolve in different time scales. Successive integration leads to a Fokker-Planck equation for the slowest mode, which we solve analytically for the models studied. In all cases, the probability distribution function above onset is of the form P(A0)∝A0δe−γA02, where A0 is the slow component of the order parameter and the values of δ and γ depend explicitly on the intensity of the fluctuations. Knowledge of P(A0) allows the calculation of an effective bifurcation threshold and of the moments of A0 above threshold.
The MinMax controller results from a differential game approach to solving the H_(infinity) control problem. As such, the MinMax controller involves a design parameter, which gives a measure of robustness for the cont...
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ISBN:
(纸本)9781424445233
The MinMax controller results from a differential game approach to solving the H_(infinity) control problem. As such, the MinMax controller involves a design parameter, which gives a measure of robustness for the controller. There exists no explicit formula for determining the design parameter, and the optimal value must be determined experimentally. Instead of choosing the parameter value experimentally and suffering the computational expense, it would be more efficient if the design parameter could be determined by a prescribed formula based on a mathematically rigorous criterion. In this paper, the author employs continuous sensitivity equation methods to examine the sensitivity of the controlled state with respect to variation of the MinMax control parameter, with the goal being to explore the possibility of determining an efficient assignment of the parameter that is mathematically justified. Numerical simulations are performed on a one-dimensional nonlinear cable-mass system, and the results are presented.
control parameter optimization of a pre-stressed, shallow cylindrical panel relative to a specified quadratic performance measure is investigated. The excessive transient panel vibrations are suppressed by means of a ...
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Tunnel Boring Machines are widely used in the construction of long tunnels. However, the control parameters in boring are selected by the operators, making it difficult to ensure the stability of the process. To addre...
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Tunnel Boring Machines are widely used in the construction of long tunnels. However, the control parameters in boring are selected by the operators, making it difficult to ensure the stability of the process. To address this issue, an optimization decision-making method for Tunnel Boring Machine control parameters was established. The method consists of three modules: boring performance prediction, multi-objective optimization, and control parameter decision-making. It can output recommended values for total thrust and cutter head rotation speed based on the project's progress and cost requirements. The optimization decision-making method was applied to a water supply tunnel in Xinjiang, China, resulting in an increase in tunneling speed and average single cutter rock-breaking volume by 11.0-15.6% and 4.5-5.3%, respectively. No tunneling stagnation or equipment damage occurred due to improper control parameter selection, proving the method to be feasible and effective. The research results can provide a reference for the decision-making of control parameters in similar projects.
Mobile edge computing has gained significant attention in smart grid IoT, as it is seen as a promising technique for supporting computation-heavy services. Efficient online task processing is crucial in this context, ...
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Mobile edge computing has gained significant attention in smart grid IoT, as it is seen as a promising technique for supporting computation-heavy services. Efficient online task processing is crucial in this context, as it ensures real-time decision-making and system responsiveness, which are vital for maintaining grid stability and optimizing resource management. However, the challenge of meeting online service requirements within the constraints of limited resources and strict task processing delay persists. To address this, we propose an online delay-aware online mobile computation offloading scheme consisting of four crucial algorithms, which firstly classify users into heterogeneous networks and then design the online resource allocation methods on the macro base station (MBS) and small base stations (SBSs), respectively, and finally design the updating strategy of the control parameters to ensure the load balancing among bases. Simulation results demonstrate that for the case of 50 mobile users, the proposed algorithm reduces task execution delay by 42.2%, 44.4%, and 62.9% relative to the three baseline algorithms, which allow the tasks to be executed only at the MBS, SBS or to be executed locally.
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