The paper deals with robust intelligent control of linear dynamical systems using algebraic polynomial theory in combination with the genetic algorithms (GA). It shows that the conventional robust polynomial synthesis...
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The paper deals with robust intelligent control of linear dynamical systems using algebraic polynomial theory in combination with the genetic algorithms (GA). It shows that the conventional robust polynomial synthesis approach can be successfully modified so as to improve performance by applying genetic algorithms for tuning controller parameters. A general algorithm has been developed for optimal polynomial controller tuning that enables to generate optimal and robust control actions for both SISO and MIMO systems. Moreover, the proposed methodology guarantees finding global optimum and enables achieving a higher performance compared with the conventional approaches. The proposed robust intelligent algorithm involving the intelligent searching procedure has been tested on a case study (control of a servo system with a changing momentum of inertia). Obtained results verify the possibility to improve the performance using combination of a polynomial algebraic controller and a genetic algorithm.
Solar panel, as a renewable energy source, require batteries to store the generated energy. Continuous use of batteries can l ead to capacity reduction and performance decline. To address this issue, it is important t...
ISBN:
(数字)9781837242863
Solar panel, as a renewable energy source, require batteries to store the generated energy. Continuous use of batteries can l ead to capacity reduction and performance decline. To address this issue, it is important to have a system that can estimate the State of Charge (SOC) of the battery to control the charging process and maintain optimal battery performance. This research develo ps an SOC estimation system for lead-acid batteries by applying the Artificial Neural Network (ANN) algorithm. The ANN method has several advantages, such as more efficient iteration processes, increased speed in parameter updates, and the ability to achieve convergence more quickly. Meanwhile, the ANN algorithm also offers advantages in ease of implementation and better interpretability. The SOC estimation results for a 48V, 12Ah lead-acid battery using the ANN algorithm show that the training phase reveals a compelling regression plot, demonstrating an impressive R value of 0.99979. The minuscule error rate in the prediction system unequivocally affirms the exceptional quality of this ANN model.
This study discusses experimentally the relationship between the major nine parameters used for fractography of concrete and the mechanical properties of the specimens. The authors employed 18 types of specimens made ...
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This study discusses experimentally the relationship between the major nine parameters used for fractography of concrete and the mechanical properties of the specimens. The authors employed 18 types of specimens made of different mix proportions of concrete with a different maximum size, a different quantity, a different fineness modulus and the brand of aggregates, but the water-to-cement ratio is about the same. They include not only monolithic specimens made of cement paste or mortar, but also jointed specimens with placing joint at the center. The authors obtained mechanical properties and fractographic parameters with testing and analyzing such various types of concrete specimens. The findings are as follows: 1. The nine fractographic parameters are closely related to each other reflecting the extent of crack paths and the depth of fracture process zone, though they have the different viewpoints with focusing on the extreme points (i.e., the height or its derivatives), the increase of the length or the area from the projected ones, or the local curvature. 2. The most consistent fractographic parameter to the mechanical properties is RS (the ratio of the fractured surface to the projected one) among the parameters analyzed in this study, which is considered to be the results of the extent of crack paths and the depth of fracture process zone. Other 8 parameters are closely related parameters to RS.
When a robot manipulator approaches a kinematic singular configuration, control strategies need to be employed to ensure safe and robust operation. If this manipulator is being controlled by a human through physical h...
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ISBN:
(数字)9781728173955
ISBN:
(纸本)9781728173962
When a robot manipulator approaches a kinematic singular configuration, control strategies need to be employed to ensure safe and robust operation. If this manipulator is being controlled by a human through physical human-robot collaboration, the choice of strategy for handling singularities can have a significant effect on the feelings and impressions of the user. To date the preferences of humans during physical human-robot collaboration regarding strategies for managing kinematic singularities have yet to be thoroughly *** work presents an empirical study of a damping-based strategy for handling singularities with regard to the preferences of the human operator. Two different parameters, damping rate and damping asymmetry, are tested using a double-blind A/B pairwise comparison testing protocol. Participants included two cohorts made up of the general public (n=51) and people working within a robotic research centre (n=18). In total 105 individual trials were performed. Results indicate a preference for a faster, asymmetric damping behavior that slows motions towards singularities whilst allowing for faster motions away.
This paper reports the pattern formation and evolution in a high-frequency dielectric regime observed in the AC-driven electroconvection of nematic liquid crystals (NLCs). It is determined that prewavy (PW) instabilit...
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This paper reports the pattern formation and evolution in a high-frequency dielectric regime observed in the AC-driven electroconvection of nematic liquid crystals (NLCs). It is determined that prewavy (PW) instability is essential for the formation and evolution. Specifically, in a twisted-aligned NLC cell, we observe a unique pattern that is comparable to the dielectric chevrons (DCVs) typically observed in a conventional planarly aligned pattern. It is determined to be a combined PW pattern with dielectric normal rolls (DNRs). Moreover, the power indices (αPW, αDNR, and αDCV) are determined from the frequency-dependent thresholds (Vth∝fα) of PW, DNR, and DCV. By taking into account the appearance of PW and the different power indices, the pattern evolution scenarios for DCV are proposed, which can well explain the previous experimental results. Specifically, the PW-originated DCV2 clearly differs from the defect-mediated DCV1, which is known as a typical pattern evolution.
The paper presents a systematic strategy for implementing Hilbert's space filling curve for use in online exploration tasks and addresses its application in scenarios wherein the space to be searched obstacles (or...
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The paper presents a systematic strategy for implementing Hilbert's space filling curve for use in online exploration tasks and addresses its application in scenarios wherein the space to be searched obstacles (or holes) whose locations are not known a priori. Using the self-similarity and locality preserving properties of Hilbert's space filling curve, a set of evasive maneuvers are prescribed and characterized for online implementation. Application of these maneuvers in the case of non-uniform coverage of spaces and for obstacles of varying sizes is also presented. The results are validated with representative simulations demonstrating the deployment of the approach.
Least Significant Bit (LSB) embedding is one of the most common techniques used in audio steganography. LSB audio steganographic techniques have poor dynamic security and are vulnerable to visual and statistical attac...
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This study effectively synthesized ferroelectric undoped ferroelectric-phase hafnium oxide (HfO2) thin films on n+-Si(100) substrates without the need of any post-annealing for crystallization using mist chemical vapo...
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Requirements changes sometimes cause a project to fail. A lot of projects now follow incremental development processes so that new requirements and requirements changes can be incorporated as soon as possible. These p...
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This study conducts a comprehensive analysis of optimizing the speed profile of an AE-bus, a critical step in enhancing its operational efficiency. It encompasses three distinct case studies, each targeting specific o...
This study conducts a comprehensive analysis of optimizing the speed profile of an AE-bus, a critical step in enhancing its operational efficiency. It encompasses three distinct case studies, each targeting specific objectives. The first case emphasizes energy consumption reduction, contributing to overall resource efficiency. The second focuses on eco-conscious speed profiles within predefined travel durations, balancing environmental sustainability and timeliness. The third case prioritizes travel time minimization for streamlined efficiency. Detailed insights into speed adjustments, bus positions, and energy consumption patterns are provided for each case. The findings reveal tailored approaches for energy conservation, speed, and travel time optimization. Additionally, emissions analysis demonstrates that electric buses significantly reduce CO 2 emissions compared to conventional NGV buses, showcasing their potential for environmental benefits.
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