Internal Models in Control, Biology and Neuroscience
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Lorenzo Marconi | Alberto Isidori | Eduardo D. Sontag | J. Huang | M. Mischiati | W. M. Wonham | W. Wonham | A. Isidori | Eduardo Sontag | L. Marconi | M. Mischiati | J. Huang
[1] Lorenzo Marconi,et al. Uniform Practical Nonlinear Output Regulation , 2008, IEEE Transactions on Automatic Control.
[2] Daniele Astolfi,et al. About Robustness of Internal Model-Based Control for Linear and Nonlinear Systems , 2018, 2018 IEEE Conference on Decision and Control (CDC).
[3] Erol Cerasi,et al. Modeling phasic insulin release: immediate and time-dependent effects of glucose. , 2002, Diabetes.
[4] Lorenzo Marconi,et al. The Chicken-Egg Dilemma and the Robustness Issue in Nonlinear Output Regulation with a Look Towards Adaptation and Universal Approximators , 2018, 2018 IEEE Conference on Decision and Control (CDC).
[5] Eduardo Sontag,et al. Fold-change detection and scalar symmetry of sensory input fields , 2010, Proceedings of the National Academy of Sciences.
[6] F. Lacquaniti,et al. Does the brain model Newton's laws? , 2001, Nature Neuroscience.
[7] Richard A Andersen,et al. Forward estimation of movement state in posterior parietal cortex , 2008, Proceedings of the National Academy of Sciences.
[8] J. Pearson. Linear multivariable control, a geometric approach , 1977 .
[9] A. Isidori,et al. Output regulation of nonlinear systems , 1990 .
[10] C. Desoer,et al. The robust nonlinear servomechanism problem , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.
[11] C. Desoer,et al. Tracking and Disturbance Rejection of MIMO Nonlinear Systems with PI Controller , 1985, 1985 American Control Conference.
[12] E. Bizzi,et al. Neuronal Correlates of Motor Performance and Motor Learning in the Primary Motor Cortex of Monkeys Adapting to an External Force Field , 2001, Neuron.
[13] Bruce A. Francis,et al. The internal model principle of control theory , 1976, Autom..
[14] A G Barto,et al. Prediction of complex two-dimensional trajectories by a cerebellar model of smooth pursuit eye movement. , 1997, Journal of neurophysiology.
[15] Jie Huang. Asymptotic tracking and disturbance rejection in uncertain nonlinear systems , 1995, IEEE Trans. Autom. Control..
[16] A. Muscella,et al. Increase of [Ca(2+)](i) via activation of ATP receptors in PC-Cl3 rat thyroid cell line. , 2002, Cellular signalling.
[17] Amy J Bastian,et al. Cerebellar damage impairs internal predictions for sensory and motor function , 2015, Current Opinion in Neurobiology.
[18] Michael I. Jordan,et al. An internal model for sensorimotor integration. , 1995, Science.
[19] Stefan Schaal,et al. Forward models in visuomotor control. , 2002, Journal of neurophysiology.
[20] Eduardo Sontag. Smooth stabilization implies coprime factorization , 1989, IEEE Transactions on Automatic Control.
[21] B. Francis. The linear multivariable regulator problem , 1976, 1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes.
[22] E D Sontag,et al. Remarks on feedforward circuits, adaptation, and pulse memory. , 2008, IET systems biology.
[23] F A Mussa-Ivaldi,et al. Adaptive representation of dynamics during learning of a motor task , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[24] L. Christensen,et al. University of Birmingham Disruption of state estimation in the human lateral cerebellum , 2007 .
[25] Jerome Carriot,et al. Learning to expect the unexpected: rapid updating in primate cerebellum during voluntary self-motion , 2015, Nature Neuroscience.
[26] Eduardo D. Sontag,et al. Mathematical Control Theory: Deterministic Finite Dimensional Systems , 1990 .
[27] Eduardo D. Sontag,et al. Adaptation and regulation with signal detection implies internal model , 2003, Syst. Control. Lett..
[28] Stephen G. Lisberger,et al. Links from complex spikes to local plasticity and motor learning in the cerebellum of awake-behaving monkeys , 2008, Nature Neuroscience.
[29] Takashi Nakakuki,et al. Quantitative transcriptional control of ErbB receptor signaling undergoes graded to biphasic response for cell differentiation. , 2006, The Journal of Biological Chemistry.
[30] U. Alon,et al. Robustness in bacterial chemotaxis , 2022 .
[31] Giuseppe Pugliese,et al. High glucose level inhibits capacitative Ca2 + influx in cultured rat mesangial cells by a protein kinase C-dependent mechanism , 1997, Diabetologia.
[32] Zhen Xie,et al. Molecular Systems Biology Peer Review Process File Synthetic Incoherent Feed-forward Circuits Show Adaptation to the Amount of Their Genetic Template. Transaction Report , 2022 .
[33] A. van Oudenaarden,et al. MicroRNA-mediated feedback and feedforward loops are recurrent network motifs in mammals. , 2007, Molecular cell.
[34] Ana Rute Neves,et al. The intricate side of systems biology. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[35] J. Krakauer,et al. A computational neuroanatomy for motor control , 2008, Experimental Brain Research.
[36] J. Doyle,et al. Robust perfect adaptation in bacterial chemotaxis through integral feedback control. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[37] M. Kawato,et al. Inverse-dynamics model eye movement control by Purkinje cells in the cerebellum , 1993, Nature.
[38] Peter J. Gawthrop,et al. Intermittent control: a computational theory of human control , 2011, Biological Cybernetics.
[39] Richard Apps,et al. An internal model of a moving visual target in the lateral cerebellum , 2009, The Journal of physiology.
[40] Jie Huang,et al. Parameter convergence and minimal internal model with an adaptive output regulation problem , 2009, Autom..
[41] Pablo A. Iglesias,et al. An approximate internal model principle: Applications to nonlinear models of biological systems , 2008 .
[42] R. Evans,et al. ADP is not an agonist at P2X1 receptors: evidence for separate receptors stimulated by ATP and ADP on human platelets , 2000, British journal of pharmacology.
[43] W. Wonham,et al. The internal model principle for linear multivariable regulators , 1975 .
[44] Eduardo D. Sontag,et al. Symmetry invariance for adapting biological systems , 2010, SIAM J. Appl. Dyn. Syst..
[45] Shigemasa Takai. Supervisory Control of Discrete Event Systems , 2014 .
[46] Kwang-Hyun Cho,et al. The biphasic behavior of incoherent feed-forward loops in biomolecular regulatory networks. , 2008, BioEssays : news and reviews in molecular, cellular and developmental biology.
[47] Anthony Leonardo,et al. Internal models direct dragonfly interception steering , 2014, Nature.
[48] F. Lacquaniti,et al. The role of preparation in tuning anticipatory and reflex responses during catching , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[49] F. Lacquaniti,et al. Internal models of target motion: expected dynamics overrides measured kinematics in timing manual interceptions. , 2004, Journal of neurophysiology.
[50] B. Webb. Neural mechanisms for prediction: do insects have forward models? , 2004, Trends in Neurosciences.
[51] W. Wonham,et al. Error feedback and internal models on differentiable manifolds , 1982, 1982 21st IEEE Conference on Decision and Control.
[52] Eduardo Sontag. A Dynamic Model of Immune Responses to Antigen Presentation Predicts Different Regions of Tumor or Pathogen Elimination. , 2017, Cell systems.
[53] Andreas Kremling,et al. A feed-forward loop guarantees robust behavior in Escherichia coli carbohydrate uptake , 2008, Bioinform..
[54] A. Levchenko,et al. Models of eukaryotic gradient sensing: application to chemotaxis of amoebae and neutrophils. , 2001, Biophysical journal.
[55] Jie Huang,et al. Internal model principle and robust control of nonlinear systems , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.
[56] Katherine C. Chen,et al. Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell. , 2003, Current opinion in cell biology.
[57] Hassan K. Khalil,et al. Robust servomechanism output feedback controllers for feedback linearizable systems , 1994, Autom..
[58] Lorenzo Marconi,et al. Semi-global nonlinear output regulation with adaptive internal model , 2001, IEEE Trans. Autom. Control..
[59] Walter Murray Wonham,et al. Structurally stable nonlinear regulation with step inputs , 1984, Mathematical systems theory.
[60] Lorenzo Marconi,et al. Shifting the internal model from control input to controlled output in nonlinear output regulation , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).
[61] D. Wolpert,et al. Internal models in the cerebellum , 1998, Trends in Cognitive Sciences.
[62] Dora E Angelaki,et al. A Reevaluation of the Inverse Dynamic Model for Eye Movements , 2007, The Journal of Neuroscience.
[63] Shinya Kuroda,et al. Prediction and validation of the distinct dynamics of transient and sustained ERK activation , 2005, Nature Cell Biology.
[64] Berthold Hedwig,et al. The Cellular Basis of a Corollary Discharge , 2006, Science.
[65] A. Isidori,et al. Global robust output regulation for a class of nonlinear systems , 2000 .
[66] David C O'Carroll,et al. A predictive focus of gain modulation encodes target trajectories in insect vision , 2017, eLife.
[67] Liu Yang,et al. Positive feedback may cause the biphasic response observed in the chemoattractant-induced response of Dictyostelium cells , 2006, Syst. Control. Lett..
[68] Laurentiu S. Popa,et al. What Features of Limb Movements are Encoded in the Discharge of Cerebellar Neurons? , 2011, The Cerebellum.
[69] Michael P Vitek,et al. Nitric oxide regulates matrix metalloproteinase-9 activity by guanylyl-cyclase-dependent and -independent pathways , 2007, Proceedings of the National Academy of Sciences.
[70] Christopher I. Byrnes,et al. Limit sets, zero dynamics, and internal models in the problem of nonlinear output regulation , 2003, IEEE Trans. Autom. Control..
[71] 张志勇,et al. Robust and Adaptive MicroRNA-Mediated Incoherent Feedforward Motifs , 2009 .
[72] Nathaniel B. Sawtell,et al. Neural Mechanisms for Predicting the Sensory Consequences of Behavior: Insights from Electrosensory Systems. , 2017, Annual review of physiology.
[73] Liu Zeng-rong,et al. Robust and Adaptive MicroRNA-Mediated Incoherent Feedforward Motifs , 2009 .
[74] Anmo J Kim,et al. Cellular evidence for efference copy in Drosophila visuomotor processing , 2015, Nature Neuroscience.
[75] J. Vercher,et al. The oculomanual coordination control center takes into account the mechanical properties of the arm , 1999, Experimental Brain Research.
[76] E. Davison. The robust control of a servomechanism problem for linear time-invariant multivariable systems , 1976 .
[77] W. H. F. Barnes. The Nature of Explanation , 1944, Nature.
[78] Christopher I. Byrnes,et al. Structurally stable output regulation of nonlinear systems , 1997, Autom..
[79] Jie Huang,et al. Decentralized Adaptive Output Regulation for Large-Scale Nonlinear Systems 1 , 2001 .
[80] L. Marconi,et al. Output Stabilization via Nonlinear Luenberger Observers , 2006, SIAM J. Control. Optim..
[81] Martin Faint,et al. Does the brain model newton’s laws? , 2001 .
[82] A. Isidori,et al. Semiglobal nonlinear output regulation with adaptive internal model , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).
[83] V. O. Nikiforov,et al. Adaptive Non-linear Tracking with Complete Compensation of Unknown Disturbances , 1998, Eur. J. Control.