In this paper, the problem of fractional-order proportional-integral-derivative (FOPID) controller tuning for fractional-order first-order plus dead time plants (FFOPDT) is considered. The designed controller must ful...
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ISBN:
(纸本)9781467371605
In this paper, the problem of fractional-order proportional-integral-derivative (FOPID) controller tuning for fractional-order first-order plus dead time plants (FFOPDT) is considered. The designed controller must fulfill the prescribed specifications in the frequency domain. To this end, the fractional orders of the integrator and differentiator components are selected using a set of rules based on the observation of essential plant dynamics, while a numerical optimization algorithm is employed for obtaining the gains of the controller based on three dimensional Newton's method. All the necessary equations for computing the elements of the Jacobian matrix are provided. The proposed algorithm is detailed. It is also implemented and verified on an embedded device. The proposed solution may be useful in developing automatic tuning algorithms for FOPID controllers.
We characterize the achievable range of performance measures in product-form networks where one or more system parameters can be freely set by a network operator. Given a product-form network and a set of configurable...
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ISBN:
(纸本)9781467345378
We characterize the achievable range of performance measures in product-form networks where one or more system parameters can be freely set by a network operator. Given a product-form network and a set of configurable parameters, we identify which performance measures can be controlled and which target values can be attained. We also discuss an online optimization algorithm, which allows a network operator to set the system parameters so as to achieve target performance metrics. In some cases, the algorithm can be implemented in a distributed fashion, of which we give several examples. Finally, we give conditions that guarantee convergence of the algorithm, under the assumption that the target performance metrics are within the achievable range.
This paper considers simultaneous wireless information and power transfer (SWIPT) in multiple-input single-output (MISO) interference systems in presence of energy harvesting nodes. We investigate the interference tem...
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ISBN:
(纸本)9781479919499
This paper considers simultaneous wireless information and power transfer (SWIPT) in multiple-input single-output (MISO) interference systems in presence of energy harvesting nodes. We investigate the interference temperature minimization problem while satisfying signal-to-interference-and-noise ratio (SINR) and energy harvesting thresholds at the information and energy receivers, respectively. The objective is to improve the received SINR as well as to reduce cross-link information leakage in order to improve physical-layer security. The formulation leads to a non-convex problem which we solve using semidefinite relaxation (SDR) technique. A rank-constrained optimization algorithm is proposed and a rank reduction procedure is developed in order to achieve a lower rank solution. Interestingly, we show that the SDR is in fact tight and an optimal rank-one solution can be developed in certain scenarios. Numerical simulations are performed to demonstrate the effectiveness of the proposed algorithm.
Private Mobile Radio (PMR) networks are cellular infrastructures dedicated to be used by professionals, such as public safety, military, industry and transportation organizations. In those networks, resources are scar...
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ISBN:
(纸本)9781467359382
Private Mobile Radio (PMR) networks are cellular infrastructures dedicated to be used by professionals, such as public safety, military, industry and transportation organizations. In those networks, resources are scarce, and there are strong Quality of Service (QoS) requirements. The emergence of new services which need more bandwidth has made the world PMR leader focus on the LTE-Advanced protocol. In order to ensure the QoS despite resource shortage, we propose an algorithm of Resource Blocks (RBs) allocation with spatial frequency reuse whose scheme takes into account users' (UEs') interference possibility and probability. We start by defining the underlying problem, which we call Weighted Fractional Coloring Problem (WFCP), in terms of graph theory. Next, we prove its NP-hardness. As obtaining an exact solution of such a problem in reasonable time is unrealistic, we propose a heuristic algorithm. In order to evaluate the performance of our algorithm we use a rigorous validation procedure. We compare its performance with that of a random one which we propose as a reference and the exact one which can be run on very small networks. Thanks to the results obtained we believe that the proposed algorithm can establish a solid starting point to conceive its distributed versions for novel PMR protocols.
We consider the problem of providing network protection that guarantees the maximum amount of time that flow can be interrupted after a failure. This is in contrast to schemes that offer no recovery time guarantees, s...
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ISBN:
(纸本)9781467359443
We consider the problem of providing network protection that guarantees the maximum amount of time that flow can be interrupted after a failure. This is in contrast to schemes that offer no recovery time guarantees, such as IP rerouting, or the prevalent local recovery scheme of Fast ReRoute, which often over-provisions resources to meet recovery time constraints. To meet these recovery time guarantees, we provide a novel and flexible solution by partitioning the network into failure-independent "recovery domains", where within each domain, the maximum amount of time to recover from a failure is guaranteed. We show the recovery domain problem to be NP-Hard, and develop an optimal solution in the form of an MILP for both the case when backup capacity can and cannot be shared. This provides protection with guaranteed recovery times using up to 45% less protection resources than local recovery. We demonstrate that the network-wide optimal recovery domain solution can be decomposed into a set of easier to solve subproblems. This allows for the development of flexible and efficient solutions, including an optimal algorithm using Lagrangian relaxation, which simulations show to converge rapidly to an optimal solution. Additionally, an algorithm is developed for when backup sharing is allowed. For dynamic arrivals, this algorithm performs better than the solution that tries to greedily optimize for each incoming demand.
Several municipalities are investigating smart road infrastructures to help reducing pollution and traffic congestion. In this paper, a road to vehicle assistance system is presented. The system continuously suggests ...
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ISBN:
(纸本)9781467371605
Several municipalities are investigating smart road infrastructures to help reducing pollution and traffic congestion. In this paper, a road to vehicle assistance system is presented. The system continuously suggests the optimal velocity the driver should adopt in order to minimize fuel consumption in a long urban road with frequent intersection controlled by traffic lights. Fuel saving is enabled by the apriori knowledge of the signal timing and phasing. The advantage of the algorithm is that it is minimally invasive as it does not require complex communication protocols. The method is based on an offline velocity profile optimization. In the paper, the optimization algorithm is detailed and the potential for fuel saving evaluated in simulation. The method is entirely focused on fuel efficiency. It is shown that average fuel savings up to 55% are to be expected with an average reduction of the traveling time of 28%.
The orthogonal collocation approach is now well known to solve, effectively, the state constrained optimal control problems. Mathematical programming technique was also used as an effective tool to construct the optim...
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The orthogonal collocation approach is now well known to solve, effectively, the state constrained optimal control problems. Mathematical programming technique was also used as an effective tool to construct the optimal trajectories. In this paper, a study is done on the efficiency and accuracy requirements of the combined orthogonal collocation and mathematical programming approach, as regarding the employed optimization algorithm, and the number of orthogonal collocation points. It is shown, by experimentation with numerical examples that Fletcher-Powell optimization algorithm is much more faster to produce convergence than Fletcher-Reeves algorithm. The efficiency can be a ratio of six-to-one. The results are compared with an alternative approach to solve the same problem. It is shown that the present algorithm is less costly than the alternative approach, although requiring more computation time. The choice is then a compromise one. As the number of orthogonal points increases, the resulting solutions are more accurate, but the convergence speed decreases. Experimentation with N, shows a save of five-to-one in computing time can be achieved with almost the same cost function. Finally, it is shown, by a numerical example, that uniformly distributed collocation points result in non-optimal solutions, which also violate the problem constraints. It is a numerical proof of the superiority of the orthogonal collocation approach.
The concept of C F FSs offers a more comprehensive on CFSs, C I FSs, and C PY FSs, with greater potential for practical applications due to their flexible structure, larger space, adjustable parameters, and influentia...
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The concept of C F FSs offers a more comprehensive on CFSs, C I FSs, and C PY FSs, with greater potential for practical applications due to their flexible structure, larger space, adjustable parameters, and influential design compared to other generalization of FSs. The striking framework of C F FSs is keen to provide a larger preference range for the modeling of uncertain information. This article sets out a decision-making analysis for the interaction between complex-valued membership and complex-valued non-membership degrees with the help of C F FNs. Some of the unique operational laws and their fundamental properties for C F FNs are studied. Distance measures have been extensively used in many areas as an essential approach that may successfully disclose the difference between CFSs and their generalizations. Some of the well-known distance measures for C F FNs has been studied in the literature, so on the basis of these distances, some novel distance measures for C F FNs have been analyzed. The applications of the proposed C F FDMs are demonstrated in scenarios including telecommunication and medical diagnostic problems. A comparative analysis of the obtained novel C F FDMs with similar existing distances is conducted through numerical examples. All the observations and results are presented graphically. The present novel C F FDMs are fantastically designated for the classification of the most favorable alternatives by examining the closeness of all available choices from a particular ideal solution.
The use of renewable resources to generate energy is one of the most important policy goals in the energy sector. One method to use renewable resources is to apply integrated systems. In this study, an optimal multi-o...
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The use of renewable resources to generate energy is one of the most important policy goals in the energy sector. One method to use renewable resources is to apply integrated systems. In this study, an optimal multi-objective integrated system has been applied to power generation. The proposed system includes wind turbines, hydroelectric power plants, and photovoltaic systems. To achieve maximum power generation with minimum fluctuations, a Developed Owl search algorithm (DOSA) with three pareto front solutions has been used. Also, the efficiency of the integrated system in different climate conditions is evaluated. The results of the pareto front show that the developed owl search algorithm is the closest algorithm to the pareto front. Therefore, it is the most accurate to improve the overall multi-objective integrated system. Among pareto front solutions, the second solution provides acceptable results for increasing power generation and reduction of fluctuations. Also, the results of the evaluation of the efficient integrated system in different climate conditions show that in wet conditions when solar radiation and wind are reduced, hydropower causes current to continue in the system by generating electricity and compensating for wind and PV energy loss.
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