State-variable Form of the Econometric Model, Stochastic Simulation and Control

1981 ◽  
pp. 110-125
Author(s):  
Dipak R. Basu
Keyword(s):  
Stochastic Simulation ◽  
Econometric Model ◽  
Variable Form ◽  
State Variable ◽  
Simulation And Control ◽  
And Control

SIMULATION AND CONTROL OF FLOODS IN A WATER NETWORK. CASE STUDY OF JIJIA RIVER CATCHMENT

2017 ◽  
Vol 16 (3) ◽  
pp. 587-595
Author(s):  
Vasile Mircea Cristea ◽  
Ph.m Thai Hoa ◽  
Mihai Mogos-Kirner ◽  
Csavdari Alexandra ◽  
Paul Serban Agachi
Keyword(s):  
Water Network ◽  
River Catchment ◽  
Simulation And Control ◽  
And Control

Case study: Simulation and control of high frequency noise for commercial vehicle cab considering leak

2019 ◽  
Vol 67 (4) ◽  
pp. 315-329
Author(s):  
Rongjiang Tang ◽  
Zhe Tong ◽  
Weiguang Zheng ◽  
Shenfang Li ◽  
Li Huang
Keyword(s):  
High Frequency ◽  
Commercial Vehicle ◽  
Frequency Noise ◽  
High Frequency Noise ◽  
Simulation And Control ◽  
And Control

A Robotic Framework for Simulation and Control of SCARA Robot Based on ROS

2019 ◽  
Author(s):  
Ujwal Shirode ◽  
Aishwarya Aher ◽  
Pallavi Bale ◽  
Aishwarya Kadam
Keyword(s):  
Scara Robot ◽  
Simulation And Control ◽  
And Control

scholarly journals A Fusion Algorithm for Estimating Time-Independent/-Dependent Parameters and States

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4068
Author(s):  
Zheshuo Zhang ◽  
Jie Zhang ◽  
Jiawen Dai ◽  
Bangji Zhang ◽  
Hengmin Qi
Keyword(s):  
Unscented Kalman Filter ◽  
Time Estimation ◽  
Estimation Algorithm ◽  
Estimation Methods ◽  
Fusion Algorithm ◽  
State Variable ◽  
Current Estimation ◽  
Real Time Estimation ◽  
And Control ◽  
Independent Parameters

Vehicle parameters are essential for dynamic analysis and control systems. One problem of the current estimation algorithm for vehicles’ parameters is that: real-time estimation methods only identify parts of vehicle parameters, whereas other parameters such as suspension damping coefficients and suspension and tire stiffnesses are assumed to be known in advance by means of an inertial parameter measurement device (IPMD). In this study, a fusion algorithm is proposed for identifying comprehensive vehicle parameters without the help of an IPMD, and vehicle parameters are divided into time-independent parameters (TIPs) and time-dependent parameters (TDPs) based on whether they change over time. TIPs are identified by a hybrid-mass state-variable (HMSV). A dual unscented Kalman filter (DUKF) is applied to update both TDPs and online states. The experiment is conducted on a real two-axle vehicle and the test data are used to estimate both TIPs and TDPs to validate the accuracy of the proposed algorithm. Numerical simulations are performed to further investigate the algorithm’s performance in terms of sprung mass variation, model error because of linearization and various road conditions. The results from both the experiment and simulation show that the proposed algorithm can estimate TIPs as well as update TDPs and online states with high accuracy and quick convergence, and no requirement of road information.

The use of dilute acetic acid for butyl acetate production in a reactive distillation: Simulation and control studies

2008 ◽  
Vol 25 (6) ◽  
pp. 1252-1266 ◽  
Author(s):  
Amornchai Arpornwichanop ◽  
Chantarawadee Wiwittanaporn ◽  
Suthida Authayanun ◽  
Suttichai Assabumrungrat
Keyword(s):  
Acetic Acid ◽  
Butyl Acetate ◽  
Reactive Distillation ◽  
Acetate Production ◽  
Simulation And Control ◽  
Distillation Simulation ◽  
And Control
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