Asif M. Mughal and Kamran Iqbal
[1] M. Bruce, A genealogy of biomechanics, 23rd Annual Conf. on Biomechanics, Pittsburgh, PA, 1999. [2] A.V. Hill, The heat of shortening and the dynamic constants of muscle. Proc. Roy Society, 126, 1938, 136–195. [3] A.V. Hill, The series elastic components of muscle, Proc. Roy. Soc., 137B, 1950, 399–420. [4] J.M. Winters, Terminology and foundations of movement science, Biomechanics and neural control of posture and movement, J.M. Winters and P.E. Crago (eds.), Chapter 1, 1–35, (Springer-Verlag, New York, 2000). [5] J.M. Winters, Hill-based muscle models: a systems engineering perspective, Multiple muscle systems: biomechanics and movement organization, Winters, J.M. and Woo, S.Y. (eds.), (Springer-Verlag, New York, 1990), 69–93. [6] V. Linden, B. Meijer, P. Huijing, F. Koopman, and H. Grootenboer, Finite element model of anisotropic muscle: effect of curvature on fiber length distribution, Proc XVth Congress of the International Society of Biomechanics, University of Jyvaskyla, Finland, 1995. [7] P.A. Huijing, Modeling of homogeneous muscle: it is realistic to consider skeletal muscle as a lumped sarcomere fiber, in Biomechanics and neural control of posture and movement, (Springer-Verlag, New York, 2000), 92–96. [8] R. Davoodi, I. Brown, and G. Loeb, Advanced modeling environment for developing and testing FES control systems, Medical Engineering and Physics, 25, 2003, 3–9. [9] R. Kirsch and R. Kearney, Identification of time-varying stiffness dynamics of the human ankle joint during an imposed movement, Experimental Brain Research, 114, 1997, 71–85. [10] F. Van der Helm and L. Rozendaal, Musculoskeletal systems with intrinsic and proprioceptive feedback, in Neural control of posture and movement, (New York: Springer-Verlag, 2000), 164–174. [11] P. Crago, Creating neuromusculoskeletal models in: Neural control of posture and movement, (New York: Springer-Verlag, 2000), 119–133. [12] R. Davoodi and G. Loeb, A software tool for faster development of complex models of musculoskeletal systems and sensorimotor controllers in Simulink TM, Journal of Application Biomechanics, 18, 2002, 357–365. [13] M. Mileusnic and G. Loeb, Development of a muscle spindle model, 7th Annual Conference of the International Functional Electrical Simulation Society, Ljubljana, Slovenia, 2002. [14] N. Lan, H. Fornwalt, M. Mileusnic, R. Davoodi, I. Brown, and G. Loeb, Biomimetic design of FES control systems, 6th Annual Meeting of International Functional Electrical Simulation Society, Cleveland, Ohio, 2001. [15] R. Davoodi, I. Brown, E. Todorov, and G. Loeb, A biomechanical model of the partially paralyzed human arm., 7th Annual Conference of the International Functional Electrical Simulation Society, Ljubljana, Slovenia, 2002. [16] S. Stroeve, Neuromuscular control of arm movements: a modelling approach, PhD Thesis, TU-Delft, 1998. [17] L. Rozendaal, Stability of the shoulder: intrinsic muscle properties and reflexive control, PhD Thesis, TU-Delft, 1997. [18] K. Iqbal and A. Roy, Stabilizing PID controllers for a single-link biomechanical model with position, velocity, and force feedback, ASME Journal of Biomechanical Engineering, 126, 2004, 838–843 [19] J. Sharpe and R. Bracewell, The use of functional reasoning for the conceptual design of interdisciplinary schemes, 10th International Conference on Engineering Design (ICED’95), Praha, Heurista, 2, 1995, 465–470. [20] K. Seo, E. Goodman, and R. Rosenberg, First steps toward automated design of systems using bond graphs and genetic programming, Proc. Genetic and Evolutionary Computation Conference, San Francisco, CA, 2001, 189. [21] K. Seo, E. Goodman, and R. Rosenberg, Toward an automated design method for multi-domain dynamic systems using bond graphs and genetic programming, Mechatronics, 13, 2003, 851–885. [22] J. Hu, E. Goodman, and R. Rosenberg, Topological search in automated mechatronic system synthesis using bond graphs and genetic programming, Proc. 2004 American Control Conference, Boston, MA, 2004, 1532–1538. [23] A. Mughal and K. Iqbal, A bond graph model of bilateral masterslave tele manipulation, Proc. Fifth IASTED Int. Conf. Modeling and Simulation, Marina Del Rey, CA, March 2004, 362–367. [24] A. Mughal and K. Iqbal, Bond graph modeling of physiological motor control with H∞ controller design, IEEE International Conference of Control Applications, Munich, Germany, October 2006. [25] L. Wojcik, Modeling of musculoskeletal structure and function using a modular bond graph approach, Journal of the Franklin Institute, 340, 2003, 63–76. [26] C. Pop, A. Khajepour, J. Huissoon, and A. Patla, Experimental/analytical analysis of human locomotion using bond graphs, ASME Transactions on Biomechanical Engineering, 125, 2003, 490–498. [27] A. Vaz and S. Hirai, A bond graph approach to the analysis of prosthesis for a partially impaired hand, Journal of Dynamic Systems, Measurement, and Control, 129, 2007, 105–113. [28] A. Mughal and K. Iqbal, Analysis of physiological motor control with bond graph modeling and LQR design, IFAC Symposium on Modeling and Control in Biomedical Systems, Reims, France, 2006. [29] http://www.20-sim.com. [30] D. Karnopp, D. Margolis, and R. Rosenberg, System dynamics – modeling and simulation of mechatronics system, 4th ed., (Wiley Publishers, 2006). [31] A. Mughal and K. Iqbal, A fuzzy biomechanical model for optimal control of sit-to-stand movement, Proc. IEEE Conf. on Computational Intelligence: Methods and Applications, Turkey, December 2005.
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