Adaptive Methods of Process State Evaluation: The Development of an Application for Engineering Purposes

Author(s):  
Agnieszka Kujawińska ◽  
Michał Rogalewicz
2020 ◽  
Vol 1 (12) ◽  
pp. 79-82
Author(s):  
M. U. USUPOV ◽  

The article deals with the application of adaptive methods of capital management at enterprises of the Toktogul district of the Kyrgyz Republic. This area of economic work is considered a key point in the functioning of the firm. Questions of formation and effective use of own and borrowed capital largely depend on the use of modern methods of analysis.


Pharmacy ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 166
Author(s):  
Amina Abubakar ◽  
Jessica Sinclair

Remote physiologic monitoring (RPM) services involve the transmission of patient-collected physiologic data to the healthcare team. These data are then analyzed to determine what changes may be needed to enhance patient care. While pharmacists may not be recognized as billing providers through some payers, there are opportunities for pharmacist collaboration with providers to enhance patient access to RPM services. Community pharmacist services are traditionally tied to a product, but pharmacists are skilled in medication management, disease state evaluation, and patient counseling, which are skills that can contribute to an elevated RPM program.


Robotica ◽  
2021 ◽  
pp. 1-17
Author(s):  
Seyed Mostafa Almodarresi ◽  
Marzieh Kamali ◽  
Farid Sheikholeslam

Abstract In this paper, new distributed adaptive methods are proposed for solving both leaderless and leader–follower consensus problems in networks of uncertain robot manipulators, by estimating only the gravitational torque forces. Comparing with the existing adaptive methods, which require the estimation of the whole dynamics, presented methods reduce the excitation levels required for efficient parameter search, the convergence time, and the complexity of the regressor. Additionally, proposed schemes eliminate the need for velocity information exchange between the agents. Global asymptotic synchronization is shown by introducing new Lyapunov functions. Simulation results are provided for a network of 10 4-DOF robot manipulators.


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