Search Results - subject:"parameter identification"

Chesher, Andrew; Kim, Dongwoo; Rosen, Adam M. - 2021

This paper studies models of processes generating censored outcomes with endogenous explanatory variables and instrumental variable restrictions. Tobit-type left censoring at zero is the primary focus in the exposition. The models studied here are unrestrictive relative to others widely used in...

Persistent link: https://www.econbiz.de/10012581449

A simple, short, but never-empty confidence interval for partially identified parameters

Stoye, Jörg - 2021

This paper revisits the simple, but empirically salient, problem of inference on a real-valued parameter that is partially identiﬁed through upper and lower bounds with asymptotically normal estimators. A simple conﬁdence interval is proposed and is shown to have the following properties:...

Persistent link: https://www.econbiz.de/10012508667

Inference in a class of optimization problems : confidence regions and finite sample bounds on errors in coverage probabilities

Horowitz, Joel; Lee, Sokbae - 2021

This paper describes three methods for carrying out non-asymptotic inference on partially identified parameters that are solutions to a class of optimization problems. Applications in which the optimization problems arise include estimation under shape restrictions, estimation of models of...

Persistent link: https://www.econbiz.de/10012595666

Research on dynamic parameter identification and collision detection method for cooperative robots

Sun, Shuwen; Song, Chenyu; Wang, Bo; Huang, Haiming - In: Industrial Robot: the international journal of robotics … 50 (2023) 6, pp. 1024-1035

Purpose The safety performance of cooperative robots is particularly important. This paper aims to study collision detection and response of cooperative robots, which meet the lightweight requirements of cooperative robots and help to ensure the safety of humans and robots....

Persistent link: https://www.econbiz.de/10014835653

A nonlinear robot joint friction compensation method including stick and sliding characteristics

Feng, Yanli; Zhang, Ke; Li, Haoyu; Wang, Jingyu - In: Industrial Robot: the international journal of robotics … 50 (2023) 5, pp. 814-829

Purpose Due to dynamic model is the basis of realizing various robot control functions, and it determines the robot control performance to a large extent, this paper aims to improve the accuracy of dynamic model for n -Degree of Freedom (DOF) serial robot. Design/methodology/approach This paper...

Persistent link: https://www.econbiz.de/10014836128

Application of a novel approach of production system modelling, analysis and improvement for small and medium-sized manufacturers : a case study

Sun, Yuting; Zhang, Liang - In: International journal of production research 61 (2023) 10, pp. 3279-3299

Persistent link: https://www.econbiz.de/10014323616

Partial identification in matching models for the marriage market

Gualdani, Cristina; Sinha, Shruti - In: Journal of political economy 131 (2023) 5, pp. 1109-1171

Persistent link: https://www.econbiz.de/10014303115

Dynamic parameter identification based on improved particle swarm optimization and comprehensive excitation trajectory for 6R robotic arm

Zhong, Feifei; Liu, Guoping; Lu, Zhenyu; Hu, Lingyan; … - In: Industrial Robot: the international journal of robotics … 51 (2023) 1, pp. 148-166

optimization (IPSO) method for parameter identification, which comprehensively improves particle initialization diversity, dynamic … the number of particles and improve identification accuracy, a step-by-step dynamic parameter identification method was … accuracy of the dynamical parameter identification. Findings Experiments conducted on a self-designed robotic arm validate the …

Persistent link: https://www.econbiz.de/10015348380

A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm

Yuan, Zhi; Wang, Weiqing; Wang, Haiyun; Razmjooy, Navid - In: Energy Reports 6 (2020), pp. 662-671

This paper proposes a new methodology for the optimal selection of the parameters for proton exchange membrane fuel cell (PEMFC) models. The proposed method is to optimal parameter selection of the circuit-based model of the PEMFC model to minimize the sum of squared error (SSE) value between...

Persistent link: https://www.econbiz.de/10012652428

PEM fuel cells model parameter identification based on a new improved fluid search optimization algorithm

Cao, Yan; Kou, Xiaoxi; Wu, Yujia; Yildizbasi, Abdullah - In: Energy Reports 6 (2020), pp. 813-823

improved fluid search optimization algorithm for optimal parameter identification of the undetermined parameters of the PEMFCs …

Persistent link: https://www.econbiz.de/10012652441