[1]
B. Tondu, Modelling of the Mckibben Artificial Muscle: A review, Journal of Intelligent Material Systems and Structures 23 (2012) 255-268.
DOI: 10.1177/1045389x11435435
Google Scholar
[2]
A. Panda, M. Prislupčák, I. Pandová, Progressive Technology Diagnostic and Factors Affecting to Machinability, Applied Mechanics and Materials 616 (2014) 183-190.
DOI: 10.4028/www.scientific.net/amm.616.183
Google Scholar
[3]
A. Šmeringaiová, Dynamic Tests of Gearing, Ad Alta 3/2 (2013) 118-120.
Google Scholar
[4]
J. Mihalčová, Comparison and evaluation of measurement systems of the oxidation characteristics of the used oils, Strojárstvo Extra 7-8 (2013) 85-86.
Google Scholar
[5]
T. Krenický, A Flexible Approach to Monitoring of Mechatronic Systems, Strojárstvo 9 (2013) 104-105.
Google Scholar
[6]
Information on eecs. vanderbilt. edu/courses/eece258/Lab4/Pneumatic%20Artificial%20Muscles. pdf.
Google Scholar
[7]
T. Krenický, Implementation of Virtual Instrumentation for Machinery Monitoring, in: Scientific Papers: Operation and Diagnostics of Machines and Production Systems Operational States: Vol. 4, RAM-Verlag, Lüdenscheid, 2011, pp.5-8.
Google Scholar
[8]
L. Kopečný, F. Šolc, Mckibben Pneumatic Muscle in Robotics, AT&P Journal 2 (2003) 62-64.
Google Scholar
[9]
G.K. Klute, B. Hannaford, Accounting for Elastic Energy Storage in McKibben Artificial Muscle Actuators, Journal of Dynamic Systems, Measurement and Control 122 (2000) 386-388.
DOI: 10.1115/1.482478
Google Scholar
[10]
J. Piteľ, M. Balara, Pneumatic Artificial Muscle - A Perspective Element of Mechatronics, AT&P Journal 1 (2009) 50-51.
Google Scholar
[11]
Š. Kuna, Research methods for real time monitoring and diagnostics of production machines; Dissertation, FMT TUKE, Prešov, (2014).
Google Scholar
[12]
S.B. Flexner, L.C. Hauck, The Random House Dictionary of the English language, Random House, UK, (1987).
Google Scholar
[13]
A.P. Laplante, J.S. Ovaska, Real-Time Systems Design and Analysis, 4th ed., John Wiley & Sons, USA, (2012).
Google Scholar
[14]
S.M. Kuo et al., Real-Time Digital Signal Processing: Implementations and Applications, 2nd ed., John Wiley & Sons, England, (2006).
Google Scholar
[15]
J. Nemcová, J. Jurko, The Use of FMEA Method When Applying a New Product Into a Production Process, IBEN, Gorzów, 2013, pp.21-27.
Google Scholar
[16]
M. Rimár, M. Fedák, Š. Kuna, Equation Model of Stabilization of Low Damped Astatic Systems, Applied Mechanics and Materials 415 (2013) 427-430.
DOI: 10.4028/www.scientific.net/amm.415.427
Google Scholar
[17]
Ľ. Straka, I. Čorný, R. Kreheľ, Evaluation of Capability of Measuring Device On The Basis of Diagnostics, Applied Mechanics and Materials 308 (2013) 69-74.
DOI: 10.4028/www.scientific.net/amm.308.69
Google Scholar
[18]
M. Rimár et al., Adaptive Rejection Filter for the Drives Stabilization of Pressure Die Casting Machines, Advances in Mechanical Engineering 6 (2014) 1-10.
DOI: 10.1155/2014/453724
Google Scholar