In the paper an approach to parametric continuous-time input-output linear dynamic system identification based on a randomized search method is presented. During identification experiment the excitation signal is gene...
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ISBN:
(纸本)9781479987016
In the paper an approach to parametric continuous-time input-output linear dynamic system identification based on a randomized search method is presented. During identification experiment the excitation signal is generated directly from D/A converter that is equipped only with zero-order or first-order hold filter - the corresponding low-pass analogue reconstruction filter is not used. In this experiment only samples of the system output signal are gathered. In the corresponding data acquisition system there is no analogue antialiasing filter. Samples of the system output signal are acquired with a deterministic constant or random sampling interval. Properties of the presented approach are illustrated by simulation experiments.
this paper describes a common issues in architecture of the variety kind of vision-based sway sensors dedicated for the anti-sway solution as a feedback in close-loop systems. However, in the statement the author'...
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ISBN:
(纸本)9781479987016
this paper describes a common issues in architecture of the variety kind of vision-based sway sensors dedicated for the anti-sway solution as a feedback in close-loop systems. However, in the statement the author's attention was focused on the issue related with vision sensor architecture insensitiveness on actual exposure light conditions. the night vision functionality was obtained through use infrared radiation. Author main attention was focused on possibility of use IR as a solution for insufficient light condition and their usefulness in different non-contact vision-based sensor architecture. All obtained results and considerations were conducted on the base vision sway sensor integrated with infrared illuminator assembled on the physical scaled model of the overhead travelling crane with hosting capability of 150 kg.
In this paper, we analyse the makespan minimization flowshop scheduling problem, where the processing times of jobs depend on the number of performed jobs and maintenance activities. Since the considered problem with ...
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ISBN:
(纸本)9781467321242
In this paper, we analyse the makespan minimization flowshop scheduling problem, where the processing times of jobs depend on the number of performed jobs and maintenance activities. Since the considered problem with two machines seems to be NP-hard, thus, we propose a branch and bound method and some heuristic and metaheuristic algorithms to solve it.
this study investigates the iterative learning control of a sequencing batch reactor for the production of polyhydroxybutyrate (PHB). In order to overcome the effect of model plant mismatches and unknown disturbances,...
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ISBN:
(纸本)9781479987016
this study investigates the iterative learning control of a sequencing batch reactor for the production of polyhydroxybutyrate (PHB). In order to overcome the effect of model plant mismatches and unknown disturbances, a batch to batch iterative learning control strategy with incrementally updated models is developed. the reference batch is taken as the immediate previous batch in order to cope with nonlinearities and process variations. After each batch, the newly obtained process operation data is added to the historical process data base and an updated linearised model is re-identified. To cope with colinearity in the modeling data, principal component regression and partial least squares regression are used in identifying batch-wise linearised models. the proposed technique has been successfully applied to a sequencing batch reactor for the production of PHB.
this paper uses the continuation method as a guideline to address the trajectory planning problem in robotic systems. It is assumed that the robotic system can be represented by a control affine system with output. Fr...
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ISBN:
(纸本)9781457709142
this paper uses the continuation method as a guideline to address the trajectory planning problem in robotic systems. It is assumed that the robotic system can be represented by a control affine system with output. From the homotopy map a partial differential equation is derived involving the control system and its variational system, whose solution yields a 1 parameter family of control functions. this family contains a solution to the trajectory planning problem, corresponding to the parameter growing up to infinity. the approach developed in the paper is illustrated with a trajectory planning problem for the kinematics of the rolling ball.
this paper investigates the application of Few Shot Segmentation techniques in addressing weed management challenges within agricultural robotics. Traditional methods, such as indiscriminate herbicide spraying, pose e...
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ISBN:
(纸本)9798350358513;9798350358520
this paper investigates the application of Few Shot Segmentation techniques in addressing weed management challenges within agricultural robotics. Traditional methods, such as indiscriminate herbicide spraying, pose environmental and economic concerns, emphasize the necessity of developing automated precision procedures. Semantic Segmentation models can offer significant advancements in weed management within agricultural robotics but can be negatively impacted by domain shifts, often requiring adaptation, hindering the development of the field. In this context, we propose a Few Shot Segmentation-based approach for precise weed segmentation in corn and bean cultivations. Our model, adapted from PFENet, exhibits robust performance across varying environmental conditions, mitigating domain shift issues. Evaluation on the ROSE dataset demonstrates the model's reliability and generalizability, highlighting the potential of Few Shot Segmentation in advancing agricultural robotics technologies.
In this paper, we present an improved frequency weighted balanced related techniques which is based on a combination of the unweighted balanced techniqe withthe Lin and Chin's frequency weighted balanced Techniqu...
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ISBN:
(纸本)9781424422869
In this paper, we present an improved frequency weighted balanced related techniques which is based on a combination of the unweighted balanced techniqe withthe Lin and Chin's frequency weighted balanced Technique. the reduced order models which are guaranteed to be stable in case of double-sided weighting, are obtained by direct truncation. A simple, elegant and easily calculatable a priori error bounds are also derived. A numerical example and comparison with other well-known techniques show the effectiveness of the proposed technique.
the pilot's error is one of the important factors affecting flight safety, which may cause serious consequences. this article mainly discusses the continuous operating deviation and sudden large-scale misoperation...
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ISBN:
(纸本)9781728177090
the pilot's error is one of the important factors affecting flight safety, which may cause serious consequences. this article mainly discusses the continuous operating deviation and sudden large-scale misoperation during the flight process. For the two types of error models, the controllers are designed to reduce the impact after the misoperation occurs, and simulation verification is performed. Simulation results show that the L1 adaptive controller can effectively suppress the impact of continuous operating deviation on control performance and improve flight comfort;the incremental nonlinear dynamic inverse controller can effectively reduce the impact of large misoperation and restore the original flight state.
In this paper a comparative analysis is represented on various navigation guidance methods used for intercepting fast maneuvering moving objects. A glancing revision is introduced on relevant works within the introduc...
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ISBN:
(纸本)9781424478279
In this paper a comparative analysis is represented on various navigation guidance methods used for intercepting fast maneuvering moving objects. A glancing revision is introduced on relevant works within the introduction section. Four common methods for navigation under investigation. Results demonstrate their infirmity on smoothly intercepting a moving object. Hence, to improve the navigation guidance methods and to adapt them with robotic problems a modified version of AIPNG is proposed for 2D problems and is developed for 3D problems utilization.
Most nonlinear modelling approaches focus on solving a model selection problem with complete data, and in many cases original data are pre-processed with some nonlinear transforms such as Box-Tidwell and fractional po...
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ISBN:
(纸本)9781479987016
Most nonlinear modelling approaches focus on solving a model selection problem with complete data, and in many cases original data are pre-processed with some nonlinear transforms such as Box-Tidwell and fractional polynomial transformation. Often these approaches can lead to modelsthat are better than traditional models (for example, logistic model and quadratic model). However, in the case of missing data, it is not easy to predict the relationship between the predictor and dependent variables;traditional nonlinear models in some cases of missing data analysis give poor results. this paper explains nonlinear model selection techniques for missing data. It includes an overview of nonlinear model selection with complete data, and provides accessible descriptions of Box-Tidwell and fractional polynomial methods for model selection. In particular, this paper focuses on a fractional polynomial method for nonlinear modelling in cases of missing data and presents analysis examples to illustrate performance of the method.
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