scholarly journals Torque Sensors for Robot Joint Control

10.5772/6614 ◽  
2008 ◽  
Author(s):  
Dzmitry Tsetserukou ◽  
Susumu Tachi
Keyword(s):  
Joint Control

Neural joint control for Space Shuttle Remote Manipulator System

1992 ◽  
Author(s):  
MARK ATKINS ◽  
CHADWICK COX ◽  
MICHAEL LOTHERS ◽  
ROBERT PAP ◽  
CHARLES THOMAS
Keyword(s):  
Space Shuttle ◽  
Joint Control

Heineken's Acquisition of Asia Pacific Breweries: Accounting for Business Combinations and Changes in Ownership Interests

2017 ◽  
Vol 32 (4) ◽  
pp. 101-127 ◽  
Author(s):  
Pearl Tan ◽  
Chu-Yeong Lim
Keyword(s):  
Market Share ◽  
Joint Venture ◽  
Interesting Case ◽  
Asia Pacific ◽  
Joint Control ◽  
Business Combinations ◽  
Final Offer ◽  
Control Premium ◽  
Joint Venture Partner

ABSTRACT On July 20, 2012, Heineken, a Dutch brewery offered S$5.125 billion (Singapore dollars; approximately US$4.1 billion) to buy Asia Pacific Breweries Ltd (APB; formerly, Malayan Breweries Limited) from its Singapore-based joint venture partner, Fraser and Neave, Limited. (F&N). At that point, Heineken and F&N had joint control over APB through the joint venture vehicle Asia Pacific Investments Pte Ltd (APIPL). Brewery business under the joint arrangement had moved on quite predictably from the time APB was formed in 1931. However, the calm changed to high drama when Thai Beverage, owned by one of Thailand's tycoons, made a bid for F&N and APB. Heineken was quick to respond by aggressively buying shares of APB, leading to a large control premium being paid in the final offer price. The bidding war was largely motivated by the Dutch and Thai beer giants, each wanting to own the iconic Tiger beer brand that was owned by APB and thus take control of APB's strong market share in the fast-growing market of Asia. The Heineken bid for APB presents an interesting case study regarding the motivations for acquisitions, the nature of control, and accounting for acquisitions. The case also presents rich issues in accounting for changes in ownership interests with and without gain of control.

scholarly journals Design and control of a passive compliant actuation with positioning measurement by LED and photodiode detector for medical application

2021 ◽  
Vol 54 (3-4) ◽  
pp. 216-230
Author(s):  
Anan Suebsomran
Keyword(s):  
Supervisory Control ◽  
Electromagnetic Interference ◽  
Medical Application ◽  
Torque Control ◽  
Assistive Device ◽  
Joint Control ◽  
Design Error ◽  
Exoskeleton Robot ◽  
Compliant Actuation ◽  
Wearable Exoskeleton

Control of assistive exoskeleton robot recently has to be crucial of development and innovation of medical application. To support daily motions for humans, control application of assistive exoskeleton robot allows for limb movement with increased strength and endurance during patient’s wearable exoskeleton robot application. The interaction between such exoskeleton device and the human body at the connecting joint, especially the knees, is the main interest of this design formation. The assistive device requires to design and to develop into innovation design aspect. This research presents the novel design of an active compliant actuation joint in order to increasing the higher torque of actuation than conventional actuation joint. Control design of the higher torque actuation usually difficult priori to conventional torque control. This will contributed to applying the supervisory control for compliant actuation that verified by experiment method. Then the hybrid Radial Basis Function neural network (RBFNN) and PID were proposed for actuating torque control methods. Experimental results show that the design of supervisory control is get better response, and higher producing torque output than the conventional design. Error of torque control of compliant actuation is not instead of [Formula: see text] N·m for applying supervisory control, RBFNN with PID controller. Indeed, the low electromagnetic interference (EMI) positioning system using LED and photodiode detector is proposed to be usable in medical application.

scholarly journals Assessment of Emission Reduction and Meteorological Change in PM2.5 and Transport Flux in Typical Cities Cluster during 2013–2017

2021 ◽  
Vol 13 (10) ◽  
pp. 5685
Author(s):  
Panbo Guan ◽  
Hanyu Zhang ◽  
Zhida Zhang ◽  
Haoyuan Chen ◽  
Weichao Bai ◽  
...  
Keyword(s):  
Air Quality ◽  
Action Plan ◽  
Influence Factors ◽  
Pollution Prevention ◽  
Weather Conditions ◽  
Yangtze River Delta ◽  
Control Measures ◽  
Joint Control ◽  
Air Quality Model ◽  
Quality Model

Under the Air Pollution Prevention and Control Action Plan (APPCAP) implemented, China has witnessed an air quality change during the past five years, yet the main influence factors remain relatively unexplored. Taking the Beijing-Tianjin-Hebei (BTH) and Yangtze River Delta (YRD) regions as typical cluster cities, the Weather Research Forecasting (WRF) and Comprehensive Air Quality Model with Extension (CAMx) were introduced to demonstrate the meteorological and emission contribution and PM2.5 flux distribution. The results showed that the PM2.5 concentration in BTH and YRD significantly declined with a descend ratio of −39.6% and −28.1%, respectively. For the meteorological contribution, those regions had a similar tendency with unfavorable conditions in 2013–2015 (contribution concentration 1.6–3.8 μg/m3 and 1.1–3.6 μg/m3) and favorable in 2016 (contribution concentration −1.5 μg/m3 and −0.2 μg/m3). Further, the absolute value of the net flux’s intensity was positively correlated with the degree of the favorable/unfavorable weather conditions. When it came to emission intensity, the total net inflow flux increased, and the outflow flux decreased significantly across the border with the emission increasing. In short: the aforementioned results confirmed the effectiveness of the regional joint emission control and provided scientific support for the proposed effective joint control measures.

Robust design of independent joint control of industrial robots with secondary encoders

2022 ◽  
Vol 73 ◽  
pp. 102232
Author(s):  
Patrick Mesmer ◽  
Michael Neubauer ◽  
Armin Lechler ◽  
Alexander Verl
Keyword(s):  
Robust Design ◽  
Industrial Robots ◽  
Joint Control
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