System identification technique for control of hybrid bio-system

다국어 초록 (Multilingual Abstract)

Effective and accurate system parameters in physical system are crucial for the analysis and prediction of dynamic performance and to conduct control. A hybrid bio-system combined using solid and flexible bio-elements is adopted as the target system in this study. Each individual system has its own nonlinearity in nature. A flexible muscle is represented using a Hill-type model. In addition, the hybrid dynamic system exhibiting nonlinearity is modeled using the Hammerstein-Wiener model. These nonlinearities are characterized through piecewise linear approaches. The dynamics and control performance of the systems using the proposed nonlinear system identification are compared with those of linear system identification. Simulation results show the feasibility of the proposed nonlinear system identification technique in extracting effective system parameters with a varying piecewise linearity. Moreover, the possibility of bio-system control is qualitatively revealed. A sequential PID control scheme also shows its successful performance for a hybrid bio-system.

참고문헌 (Reference)

1 L. Hudgins, "Wavelet transforms and atmospheric turbulence" 71 (71): 3279-3282, 1993

2 G. Buresti, "Turbulence and Shear Flow Phenomena" Begell House Inc 762-772, 1999

3 K. J. Åström, "System identification : A survey" 7 (7): 123-162, 1971

4 L. Ljung, "System Identification: Theory for the User" Prentice Hall 1999

5 L. Ljung, "System Identification Toolbox, The MATLAB User’s Guide"

6 D. C. Vadillo, "System Engineering Applied to Fuenmayor Karst Aquifer (San Julián de Banzo, Huesca) and Collins Glacier (King George Island, Antarctica)" Springer 2014

7 D. E. Seborg, "Process Dynamics and Control" John Wiley & Sons 2010

8 S.-J. Park, "Phototactic guidance of a tissue-engineered soft-robotic ray" 353 (353): 158-162, 2016

9 A. W. Feinberg, "Muscular thin films for building actuators and powering devices" 317 (317): 1366-1370, 2007

10 F. E. Zajac, "Muscle and tendon properties models scaling and application to biomechanics and motor" 17 (17): 359-411, 1989

11 L. A. Zadeh, "From circuit theory to system theory" 50 (50): 856-865, 1962

12 M. Millard, "Flexing computational muscle : Modeling and simulation of musculotendon dynamics" 135 (135): 021005-, 2013

13 G. -OA. Glentis, "Efficient algorithms for Volterra system identification" 47 (47): 3042-3057, 1999

14 E. Eisenberg, "Cross-bridge model of muscle contraction, quantitative analysis" 29 (29): 195-227, 1980

15 D. G. Thelen, "Adjustment of muscle mechanics model parameters to simulate dynamic contractions in older adults" 125 (125): 70-77, 2003

16 J. C. Nawroth, "A tissue-engineered jellyfish with biomimetic propulsion" 30 (30): 792-, 2012