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In this paper, to increase the accuracy and the rate of convergence of the algorithm, by employing orthogonal experiment and mutation operation to the traditional Quantum-behaved Particle Swarm Optimization (QPSO), an improved QPSO (IQPSO) has been presented. The optimization criterion, the ITAE (Integral of Time and Absolute Error) tested that the efficiency of IQPSO is superior to the traditional...
The objective of this work is to analyze and understand the operation of the elevators system, simulating and optimizing the traffic of individuals in elevators. Passive elements (queues) and active (processors/servers) are analyzed. A simulation methodology is developed for passive and active elements using the system methodology to discrete events. The heuristic method is used in an attempt to find...
For OAM-based communications and target detection purposes, the OAM-generating method based on planar antenna and the concentric-ring array is proposed, which can collimate the main-lobe direction and suppress the side lobes simultaneously. The total radiation pattern is derived firstly and the feeding coefficient for each ring is optimized utilizing the genetic algorithm (GA). Subsequently, the planar...
The inadequate power supply in Nigeria necessitates the implementation of other power generation media to augment the shortage and reduce heavy reliance on the National Grid. However, the cumbersome nature of these energy systems design which comprise equipment selection, renewable energy resources data collection, mathematical analysis and technical/ economic analysis is hectic and time consuming;...
Blind signal extraction is particularly attractive to solve signal mixture problems while only one or a few source signals are desired. Many desired biomedical signals exhibit distinct periods. A sequential method based on second order statistics is introduced in this paper. One can choose to recover one source signal or all signals in a specific order. The validity and performance of the proposed...
Hands-off control (or sparse control) is a control that has a small support length that achieves a given control objective. In other words, hands-off control takes zero on a relatively long time duration. Recently, this idea is extended to distributed control for consensus, called distributed hands-off control. In this control, each agent uses hands-off control, which is a bang-off-bang control taking...
Proportional-Integral-Derivative (PID) controller is incorporated in Direct-Current (DC) servo motor control application due to its efficiency and ease of implementation. Nevertheless, the existing PID tuning methods are time consuming, and yet expertise and experience are required. Therefore, new approaches to tune PID controller is very important with the aim of obtaining better performances. The...
Smart home scheduling, as one of the most effective techniques in Demand Side Management (DSM), is now attracting more and more research interests in the recent years. In this paper we propose an efficient scheduling algorithm for smart home resident to reduce the monetary cost of the electricity. The proposed algorithm is an improved particle swarm optimization(PSO) algorithm that can schedule the...
Weapon-target assignment process with uncertainty and unpredictability, sometimes need to be aborted, and then distribute the firepower units immediately when there are many new targets or an emergency. The assignment results may not be the global optimal, but should be the best under the influence of the current state, that is, the algorithm has anytime property. Now the algorithm to solve the question...
The control of multiple homonuclear spin systems is a long-standing problem in nuclear magnetic resonance (NMR). In this paper, we introduce the brachistchrone algorithm to local unitary control of such systems, which usually take a long operation time to discriminate because of their small resonant frequency differences. We show that for this particular problem the model can be reduced from 2N-dimensional...
Echo state network (ESN) is a powerful tool for nonlinear system modeling. However, the random setting of structure (mainly the reservoir) may degrade its estimation accuracy. To create the optimal reservoir for a given task, a novel ESN design method based on differential evolution algorithm is proposed. Firstly, the weight matrix of reservoir is constructed via the singular value decomposition (SVD)...
This paper addresses the problem of joint detection and estimation fusion when sensor quantized data are correlated in the distributed system. The traditional methods to handle this joint problem tend to treat the detection and estimation tasks separately, which put more emphasis on the detection part but treat the estimation part sub-optimally. In this work, the joint detection and estimation fusion...
This paper addresses the design of a path-following using a sampled-data Model Predictive Control (MPC) approach for a fixed-wing Unmanned Aerial Vehicle (UAV). In path-following, the motion task consists in steering the vehicle towards a given desired geometric path and make it follow along the path with an assigned speed profile. To this end, we propose an MPC controller that will generate desired...
In this paper, system framework for UAV formation collision avoidance is proposed. Key modules of the framework are identified including collaborative sensing, threat assessment, formation reorganization, path planning and maneuver control. Their corresponding mathematical models are also established for performance optimization. The formation collision avoidance is finally formulated as a combined...
Due to the simplicity of its implementation and the impressive performance, Extreme Learning Machine (ELM) has been widely used in applications of machine learning. However, there are two potential problems in ELM: 1) lack of an efficient method for minimizing error; 2) consideration of little inherent structural information about correlations among output components. To overcome those problems, this...
The main goal of this paper is to manage the switching on/off of servers in a data center during time to adapt the system with incoming traffic changes to ensure a good performance and a reasonable energy consumption. In this work, the system is modeled by a queue then, an optimization algorithm is designed to manage energy consumption and quality of service in the data center. For several systems,...
Coordinated Scheduling (CS) is one of the main techniques to control inter-cell interference in present (4G) and future (5G) cellular networks. We show that coordination of a cluster of nodes can be formulated as an optimization problem, i.e., placing the Resource Blocks in each node's subframe with the least possible overlapping with neighboring nodes. We provide a clever formulation, which allow...
Beamforming design for millimeter-Wave hybrid array with the subarray structure is very challenging. There is neither known optimal solution that maximizes the sum rate capacity nor near-optimal solution. This paper proposes some low-complexity user-directed analog radio- frequency (RF) beamforming design schemes. The basic idea is to iteratively allocate different subarrays to different users such...
Device-to-Device (D2D) communication has been proposed as a promising way to offload traffic from the cellular network. In this paper, with the joint impact of user preference and selfishness, the D2D assisted content dissemination process is investigated in order to maximize the offloading gain via D2D communications. An alternative group pushing optimization (AGPO) algorithm is proposed to solve...
This work presents a novel virtual vehicle based decentralized coordination framework for Connected Autonomous Vehicles (CAVs). We explore the idea of CAVs being capable of positioning virtual vehicles to share their intended maneuver as well as request cooperation. This framework has potential to inspire versatile solutions and provides an intuitive interface to interact with reactive and unconnected...
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