scholarly journals Path generation for flying robots in mountainous regions

2016 ◽  
Vol 9 (1) ◽  
pp. 44-60 ◽  
Author(s):  
Amirreza Kosari ◽  
Hossein Maghsoudi ◽  
Abolfazl Lavaei
Keyword(s):  
Numerical Technique ◽  
Estimation Method ◽  
Least Square Method ◽  
Least Square ◽  
Performance Criteria ◽  
Mission Design ◽  
Vertical Acceleration ◽  
Mountainous Regions ◽  
Terrain Following ◽  
Flying Robots

In this paper, a new path planning method is proposed to resolve the problem of two-dimensional terrain following flight of flying robots in mountainous regions. The performance criteria considered for this mission design could include either the minimum vertical acceleration or the minimum flying time. To impose the terrain following/terrain avoidance constraints, various approaches such as least square method, Fourier series method, Gaussian estimation method, and Chebyshev orthogonal polynomial are explored. The resulting optimal control problem is discretized by employing a numerical technique namely direct collocation and then transformed into a nonlinear programming problem. The efficacy of the proposed method is demonstrated by extensive simulations, and particularly, it has been verified that this method is able to produce a solution that satisfies all hard constraints of the underlying problem.

scholarly journals Analisa Pengaruh Penerapan Manajemen Kualitas Dengan Mbnqa Kriteria Terhadap Kinerja Bisnis Pada Rumah Sakit Islam Jemursari Surabaya

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Arief Sabda Pietra Mukti Sutikno ◽  
Febriana Wurjaningrum
Keyword(s):  
Knowledge Management ◽  
Strategic Planning ◽  
Least Square Method ◽  
Partial Least Square ◽  
Least Square ◽  
Performance Criteria ◽  
Customer Focus ◽  
Path Coefficient ◽  
Total Quality ◽  
Business Results

Today, high population growth coupled with the needs of the product or service quality healthcare. One practice in improving quality is through the implementation of Total Quality Management or TQM. One of the efforts in the implementation of TQM can be done with criteria MBNQA consisting of leadership, strategic planning, customer focus, pekuruan, analysis, and knowledge management, workforce focus, process management, and business results. RSI Jemursari Surabaya as one of the hospitals of foundation hospitals islam Islam Surabaya (Yarsis) has implemented MBNQA in its business operations. This study examines the relationship between TQM implementation through MBNQA on business performance criteria of Islamic Hospital Jemursari. Data were analyzed using path analysis using Partial Least Square method with the help of software SmartPLS. From the research results obtained by the t-statistic for the criteria of customer focus 6.153 ; management process by 5.451; 5.168 leadership; strategic planning 4.314; and 2,628 business results. While the measurement, analysis, and knowledge management did not prove significant influence and adversely affect the value of the path coefficient of -0.014 with 0.288 t and the focus of labor is not proved significant with path coefficient value of 0,020 with 0,349 t.

scholarly journals The Parameter Estimation of Double Exponential Pulse Based on a Least Infinity Norm Fitting Method

2021 ◽  
Vol 2083 (4) ◽  
pp. 042002
Author(s):  
Yuewu Shi ◽  
Wei Wang ◽  
Zhizhen Zhu ◽  
Xin Nie
Keyword(s):  
Estimation Error ◽  
Estimation Method ◽  
Maximum Amplitude ◽  
Least Square Method ◽  
Least Square ◽  
Physical Parameters ◽  
Infinity Norm ◽  
Fitting Method ◽  
Double Exponential ◽  
Exponential Pulse

Abstract This paper presents an estimation method of double exponential pulse (DEP) between the physical parameters rise time (t r), full width at half maximum amplitude (t FWHM) and the mathematical parameters α, β. A newly fitting method based on the least infinity norm criterion is proposed to deal with the estimation problem of DEP. The calculation process and equation of parameters of this method is proposed based on an m-th-order polynomial fitting model. This estimation method is compared with the least square method by the same data and fitting function. The results show that the maximum estimation error of parameters of double exponential pulse obtained by the least infinity norm method is 1.5 %.

scholarly journals A New Distribution for Modeling Lifetime Data with Different Methods of Estimation and Censored Regression Modeling

2020 ◽  
Vol 8 (2) ◽  
pp. 610-630 ◽  
Author(s):  
Mohamed Ibrahim ◽  
Emrah Altun EA ◽  
Haitham M. Yousof
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Method ◽  
Estimation Method ◽  
Least Square Method ◽  
Least Square ◽  
Likelihood Method ◽  
Survival Times ◽  
New Model ◽  
Von Mises ◽  
Bootstrapping Method

In this paper and after introducing a new model along with its properties, we estimate the unknown parameter of the new model using the Maximum likelihood method, Cram er-Von-Mises method, bootstrapping method, least square method and weighted least square method. We assess the performance of all estimation method employing simulations. All methods perform well but bootstrapping method is the best in modeling relief times whereas the maximum likelihood method is the best in modeling survival times. Censored data modeling with covariates is addressed along with the index plot of the modified deviance residuals and its Q-Q plot.

scholarly journals Comparison of M Estimation, S Estimation, with MM Estimation to Get the Best Estimation of Robust Regression in Criminal Cases in Indonesia

2022 ◽  
Vol 18 (2) ◽  
pp. 251-260
Author(s):  
Malecita Nur Atala Singgih ◽  
Achmad Fauzan
Keyword(s):  
Regression Analysis ◽  
Robust Regression ◽  
Estimation Method ◽  
Least Square Method ◽  
Influential Factors ◽  
Least Square ◽  
Method Of Moment ◽  
Best Estimate ◽  
M Estimation ◽  
Mm Estimation

Crime incidents that occurred in Indonesia in 2019 based on Survey Based Data on criminal data sourced from the National Socio-Economic Survey and Village Potential Data Collection produced by the Central Statistics Agency recorded 269,324 cases. The high crime rate is caused by several factors, including poverty and population density. Determination of the most influential factors in criminal acts in Indonesia can be done with Regression Analysis. One method of Regression Analysis that is very commonly used is the Least Square Method. However, Regression Analysis can be used if the assumption test is met. If outliers are found, then the assumption test is not completed. The outlier problem can be overcome by using a robust estimation method. This study aims to determine the best estimation method between Maximum Likelihood Type (M) estimation, Scale (S) estimation, and Method of Moment (MM) estimation on Robust Regression. The best estimate of Robust Regression is the smallest Residual Standard Error (RSE) value and the largest Adjusted R-square. The analysis of case studies of criminal acts in Indonesia in 2019 showed that the best estimate was the S estimate with an RSE value of 4226 and an Adjusted R-square of 0.98  

scholarly journals Terrain Feature Estimation Method for a Lower Limb Exoskeleton Using Kinematic Analysis and Center of Pressure

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4418 ◽  
Author(s):  
Myounghoon Shim ◽  
Jong In Han ◽  
Ho Seon Choi ◽  
Seong Min Ha ◽  
Jung-Hoon Kim ◽  
...  
Keyword(s):  
Lower Limb ◽  
Kinematic Analysis ◽  
Center Of Pressure ◽  
Contact Point ◽  
Estimation Method ◽  
Least Square Method ◽  
Least Square ◽  
Estimation Accuracy ◽  
Lower Limb Exoskeleton ◽  
Contact Points

While controlling a lower limb exoskeleton providing walking assistance to wearers, the walking terrain is an important factor that should be considered for meeting performance and safety requirements. Therefore, we developed a method to estimate the slope and elevation using the contact points between the limb exoskeleton and ground. We used the center of pressure as a contact point on the ground and calculated the location of the contact points on the walking terrain based on kinematic analysis of the exoskeleton. Then, a set of contact points collected from each step during walking was modeled as the plane that represents the surface of the walking terrain through the least-square method. Finally, by comparing the normal vectors of the modeled planes for each step, features of the walking terrain were estimated. We analyzed the estimation accuracy of the proposed method through experiments on level ground, stairs, and a ramp. Classification using the estimated features showed recognition accuracy higher than 95% for all experimental motions. The proposed method approximately analyzed the movement of the exoskeleton on various terrains even though no prior information on the walking terrain was provided. The method can enable exoskeleton systems to actively assist walking in various environments.

Optimal Tuning Strategy for MIMO Fuzzy Predictive Controllers

2015 ◽  
Vol 4 (4) ◽  
pp. 87-99 ◽  
Author(s):  
Adel Taeib ◽  
Abdelkader Chaari
Keyword(s):  
Optimization Technique ◽  
Least Square Method ◽  
Nonlinear Process ◽  
Least Square ◽  
Performance Criteria ◽  
Mixed Integer ◽  
Recursive Least Square ◽  
Worst Case ◽  
Particle Swarm Optimization Technique ◽  
Recursive Least Square Method

This paper describes the development of a method to optimally tune constrained MPC algorithms for a nonlinear process. The T-S model is firstly established for nonlinear systems and its sequence parameters of fuzzy rules are identified by local recursive least square method. The proposed method is obtained by minimizing performance criteria in the worst-case conditions to control the process system, thus assuring robustness to the set of optimum tuning parameters. The resulting constrained mixed-integer nonlinear optimization problem is solved on the basis of a version of the particle swarm optimization technique. The practicality and effectiveness of the identification and control scheme is demonstrated by simulation results.

scholarly journals Dynamic Coevolution of Capital Allocation Efficiency of New Energy Vehicle Enterprises from Financing Niche Perspective

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Qiong Wang ◽  
Cheng-xuan Geng ◽  
Hai-tao E
Keyword(s):  
Estimation Method ◽  
Likelihood Estimation ◽  
Least Square Method ◽  
Capital Allocation ◽  
Least Square ◽  
Volterra Model ◽  
Allocation Efficiency ◽  
New Energy ◽  
Capital Allocation Efficiency ◽  
New Energy Vehicle

Based on the dynamic characteristics of enterprises’ competition and cooperation, this paper introduces the idea of ecology and synergy and constructs a dynamic coevolution model of financing allocation efficiency and financing niche based on improved Lotka-Volterra model. The parameters in the model are difficult to be given by the least square method and the maximum likelihood estimation method; the accelerated genetic algorithm is proposed to solve the parameters in the dynamic coevolution model, which makes the parameter estimation more accurate and reasonable. Finally, the data of new energy vehicle listed companies in China from 2009 to 2017 are given to validate the proposed model, and the dynamic process of coevolution of new energy vehicle enterprises, capital allocation efficiency, and financing niche is described. The results show that the minimum financing niche breadth of industry and market determines the location of the equilibrium point. With capital allocation efficiency as the core, adjusting the financing niche through financing market, industrial policy, enterprise development, and other factors will help to improve the coevolution balance between industrial capital allocation efficiency and financing niche and promote the coordinated development of strategic emerging industries.

A Novel Parameter Estimation Method for Drug Diffusion, Distribution and Clearance in the Rat Brain Extracellular Space

2014 ◽  
Vol 590 ◽  
pp. 805-813 ◽  
Author(s):  
Kai Li ◽  
Long Zuo ◽  
Dong Qi He ◽  
Hong Bin Han
Keyword(s):  
Drug Delivery ◽  
Rat Brain ◽  
Extracellular Space ◽  
Estimation Method ◽  
Least Square Method ◽  
Least Square ◽  
Drug Diffusion ◽  
Diffusion Pattern ◽  
Magnetic Resonance Imaging Mri ◽  
Brain Extracellular Space

Purposes to estimate parameters for gadolium-diethylenetriaminepentaacetic acid (Gd-DTPA) diffusion and distribution after drug delivery in the rat brain extracellular space (ECS). Methods An isotropic diffusion pattern in the homogeneous media was presumed for Gd-DTPA diffusion in the rat brain ECS, and a mathematical model was established to describe the pharmacokinetics of Gd-DTPA. Results the analytical solution of the diffusion equation was obtained by Laplace transform, and the least square method was utilized to calculate the diffusion coefficient (D) and the clearance rate (k) of drugs in the sphere coordinates. Animal experimental data of Gd-DTPA-related intensity was acquired by magnetic resonance imaging (MRI). D and k were computed as 0.0129 mm2/h and 0.0957 /h, respectively. Conclusions By the proposed method, drug diffusion, distribution, and clearance in the rat brain can be quantitatively analyzed, which will enhance our understanding of drug delivery in the central nervous system.

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