A non-linear approach to modelling and control of electrically stimulated skeletal muscle
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[1] Sheng Chen,et al. Representations of non-linear systems: the NARMAX model , 1989 .
[2] S. J. Dorgan,et al. A Model for an Artificially Activated Musculoskeletal System , 1996 .
[3] Wolfgang Hahn,et al. Theory and Application of Liapunov's Direct Method , 1963 .
[4] K. Hunt,et al. Nonlinear modelling and control of electrically stimulated muscle: A local model network approach , 1997 .
[5] Carl de Boor,et al. A Practical Guide to Splines , 1978, Applied Mathematical Sciences.
[6] Hiroshi Niinami,et al. Skeletal Muscle Ventricles: A Promising Treatment Option for Heart Failure , 1991, Journal of cardiac surgery.
[7] I. J. Leontaritis,et al. Input-output parametric models for non-linear systems Part II: stochastic non-linear systems , 1985 .
[8] J. Freidman,et al. Multivariate adaptive regression splines , 1991 .
[9] Robert A. Jacobs,et al. Methods For Combining Experts' Probability Assessments , 1995, Neural Computation.
[10] Gideon F. Inbar,et al. FNS Control Schemes for the Upper Limb , 1986, IEEE Transactions on Biomedical Engineering.
[11] M. Sugeno,et al. Structure identification of fuzzy model , 1988 .
[12] Henrik Gollee,et al. Towards an optimized muscle controller , 1996 .
[13] T. A. Johansen,et al. On the optimality of the Takagi-Sugeno-Kang fuzzy inference mechanism , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..
[14] Solomon Lefschetz,et al. Stability by Liapunov's Direct Method With Applications , 1962 .
[15] C. Lee Giles,et al. Alternative discrete-time operators and their application to nonlinear models , 1997 .
[16] Robert A. Jacobs,et al. Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.
[17] Marko Munih,et al. Optimal control of ankle joint moment: toward unsupported standing in paraplegia , 1998, IEEE Trans. Autom. Control..
[18] Henrik Gollee,et al. Validation of local model networks for electrically stimulated muscle , 1997 .
[19] T. Johansen,et al. Operating regime based process modeling and identification , 1997 .
[20] G. Zames. On the input-output stability of time-varying nonlinear feedback systems Part one: Conditions derived using concepts of loop gain, conicity, and positivity , 1966 .
[21] Raghu Krishnapuram,et al. Fitting an unknown number of lines and planes to image data through compatible cluster merging , 1992, Pattern Recognit..
[22] Peter J Gawthrop,et al. CONTINUOUS-TIME LOCAL MODEL NETWORKS , 1996 .
[23] Mikko Pekkarinen,et al. Multiple model approaches to multisensor tracking , 2000 .
[24] J C Jarvis,et al. Power production and working capacity of rabbit tibialis anterior muscles after chronic electrical stimulation at 10 Hz. , 1993, The Journal of physiology.
[25] Heinz Unbehauen,et al. Structure identification of nonlinear dynamic systems - A survey on input/output approaches , 1990, Autom..
[26] S A Binder-Macleod,et al. Force response of rat soleus muscle to variable-frequency train stimulation. , 1992, Journal of neurophysiology.
[27] Jeff S. Shamma,et al. Analysis and design of gain scheduled control systems , 1988 .
[28] David J. Murray-Smith,et al. Continuous System Simulation , 1994 .
[29] G. Shue,et al. Muscle-joint models incorporating activation dynamics, moment-angle, and moment-velocity properties , 1995, IEEE Transactions on Biomedical Engineering.
[30] H. Hatze,et al. The Charge-Transfer Model of Myofilamentary Interaction: Prediction of Force Enhancement and Related Myodynamic Phenomena , 1990 .
[31] A. Huxley. Muscle structure and theories of contraction. , 1957, Progress in biophysics and biophysical chemistry.
[32] S. Binder-Macleod,et al. Use of a catchlike property of human skeletal muscle to reduce fatigue , 1991, Muscle & nerve.
[33] G. Zames. On the input-output stability of time-varying nonlinear feedback systems--Part II: Conditions involving circles in the frequency plane and sector nonlinearities , 1966 .
[34] F. A. Seiler,et al. Numerical Recipes in C: The Art of Scientific Computing , 1989 .
[35] U. Kaymak,et al. Compatible cluster merging for fuzzy modelling , 1995, Proceedings of 1995 IEEE International Conference on Fuzzy Systems..
[36] Kiichi Sagawa,et al. The Circulation and Its Control I: Mechanical Properties of the Cardiovascular System , 1973 .
[37] W. Durfee,et al. Reducing muscle fatigue in FES applications by stimulating with N-let pulse trains , 1995, IEEE Transactions on Biomedical Engineering.
[38] Tor Arne Johansen,et al. Local learning in local model networks , 1995 .
[39] David J. Aidley,et al. Nerve and muscle , 1981 .
[40] W. Durfee,et al. Methods for estimating isometric recruitment curves of electrically stimulated muscle , 1989, IEEE Transactions on Biomedical Engineering.
[41] Tor Arne Johansen,et al. Empirical modeling of a heat transfer process using local models and interpolation , 1995, Proceedings of 1995 American Control Conference - ACC'95.
[42] S Salmons,et al. The input–output relations of skeletal muscle , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[43] R. H. Baxendale,et al. Novel Stimulation Strategies for the Recruitment of Paralysed Muscle , 1996 .
[44] Peter L. Williams,et al. Gray's Anatomy: The Anatomical Basis of Medicine and Surgery , 1996 .
[45] Roderick Murray-Smith,et al. A local model network approach to nonlinear modelling , 1994 .
[46] S J Dorgan,et al. A nonlinear mathematical model of electrically stimulated skeletal muscle. , 1997, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[47] J C Jarvis,et al. A radial basis function model of muscle stimulated with irregular inter-pulse intervals. , 1995, Medical engineering & physics.
[48] H. Unbehauen,et al. Identification of continuous systems , 1987 .
[49] Elie Bienenstock,et al. Neural Networks and the Bias/Variance Dilemma , 1992, Neural Computation.
[50] Roderick Murray-Smith,et al. The operating regime approach to nonlinear modelling and control , 1997 .
[51] E. Condie,et al. Functional Electrical Stimulation: Standing and Walking After Spinal Cord Injury , 1990 .
[52] R. E. Kalman,et al. Control System Analysis and Design Via the “Second Method” of Lyapunov: I—Continuous-Time Systems , 1960 .
[53] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[54] Robert Shorten,et al. On the interpretation of local models in blended multiple model structures. , 1999 .