Citation: Zs. Feng et An. Michel, GLOBAL ASYMPTOTIC STABILITY OF A CLASS OF FEEDBACK NEURAL NETWORKS WITH AN APPLICATION TO OPTIMIZATION PROBLEMS, Circuits, systems, and signal processing, 17(2), 1998, pp. 219-241
Authors:
SPEDDING M
NEWMANTANCREDI A
MILLAN MJ
DACQUET C
MICHEL AN
JACOBY E
VICKERY B
TALLENTIRE D
Citation: M. Spedding et al., INTERACTION OF THE ANXIOGENIC AGENT, RS-30199, WITH 5-HT1A RECEPTORS - MODULATION OF SEXUAL-ACTIVITY IN THE MALE-RAT, Neuropharmacology, 37(6), 1998, pp. 769-780
Citation: L. Hou et An. Michel, ASYMPTOTIC STABILITY OF SYSTEMS WITH SATURATION CONSTRAINTS, IEEE transactions on automatic control, 43(8), 1998, pp. 1148-1154
Citation: Ma. Pai et al., APPLICATIONS OF INTERVAL MATRICES IN POWER-SYSTEM STABILIZER DESIGN, INTERNATIONAL JOURNAL OF ELECTRICAL POWER AND ENERGY SYSTEMS, 19(3), 1997, pp. 179-184
Citation: L. Hou et al., SOME QUALITATIVE PROPERTIES OF SAMPLED-DATA CONTROL-SYSTEMS, IEEE transactions on automatic control, 42(12), 1997, pp. 1721-1725
Citation: Gg. Yen et An. Michel, UNLEARNING ALGORITHM IN ASSOCIATIVE MEMORY, IEEE transactions on circuits and systems. 2, Analog and digital signal processing, 43(10), 1996, pp. 723-729
Citation: Kn. Wang et An. Michel, STABILITY ANALYSIS OF DIFFERENTIAL-INCLUSIONS IN BANACH-SPACE WITH APPLICATIONS TO NONLINEAR-SYSTEMS WITH TIME DELAYS, IEEE transactions on circuits and systems. 1, Fundamental theory andapplications, 43(8), 1996, pp. 617-626
Citation: Kn. Wang et An. Michel, ON THE STABILITY OF A FAMILY OF NONLINEAR TIME-VARYING SYSTEMS, IEEE transactions on circuits and systems. 1, Fundamental theory andapplications, 43(7), 1996, pp. 517-531
Citation: H. Ye et al., ROBUST STABILITY OF NONLINEAR TIME-DELAY SYSTEMS WITH APPLICATIONS TONEURAL NETWORKS, IEEE transactions on circuits and systems. 1, Fundamental theory andapplications, 43(7), 1996, pp. 532-543
Citation: Dr. Liu et An. Michel, STABILITY ANALYSIS OF SYSTEMS WITH PARTIAL STATE SATURATION NONLINEARITIES, IEEE transactions on circuits and systems. 1, Fundamental theory andapplications, 43(3), 1996, pp. 230-232
Citation: Dr. Liu et An. Michel, ROBUSTNESS ANALYSIS AND DESIGN OF A CLASS OF NEURAL NETWORKS WITH SPARSE INTERCONNECTING STRUCTURE, Neurocomputing, 12(1), 1996, pp. 59-76
Citation: Lt. Grujic et An. Michel, MODELING AND QUALITATIVE-ANALYSIS OF CONTINUOUS-TIME NEURAL NETWORKS UNDER PURE STRUCTURAL VARIATIONS, Mathematics and computers in simulation, 40(5-6), 1996, pp. 523-533
Citation: Kn. Wang et al., NECESSARY AND SUFFICIENT CONDITIONS FOR THE HURWITZ AND SCHUR STABILITY OF INTERVAL MATRICES (VOL 39, PG 1251, 1994), IEEE transactions on automatic control, 41(2), 1996, pp. 311-311
Citation: H. Ye et al., QUALITATIVE-ANALYSIS OF COHEN-GROSSBERG NEURAL NETWORKS WITH MULTIPLEDELAYS, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 51(3), 1995, pp. 2611-2618
Citation: Ds. Bernstein et An. Michel, A CHRONOLOGICAL BIBLIOGRAPHY ON SATURATING ACTUATORS, International journal of robust and nonlinear control, 5(5), 1995, pp. 375-380
Citation: An. Michel et al., STABILITY ANALYSIS OF A CLASS OF SYSTEMS WITH PARAMETER UNCERTAINTIESAND WITH STATE SATURATION NONLINEARITIES, International journal of robust and nonlinear control, 5(5), 1995, pp. 505-519
Citation: J. Si et An. Michel, ANALYSIS AND SYNTHESIS OF A CLASS OF DISCRETE-TIME NEURAL NETWORKS WITH MULTILEVEL THRESHOLD NEURONS, IEEE transactions on neural networks, 6(1), 1995, pp. 105-116
Citation: Gg. Yen et An. Michel, STABILITY ANALYSIS AND SYNTHESIS ALGORITHM OF A CLASS OF DISCRETE-TIME NEURAL NETWORKS, Mathematical and computer modelling, 21(1-2), 1995, pp. 1-29
Citation: M. Radenkovic et An. Michel, STOCHASTIC ADAPTIVE-CONTROL OF NONMINIMUM-PHASE SYSTEMS IN THE PRESENCE OF UNMODELLED DYNAMICS, Circuits, systems, and signal processing, 14(3), 1995, pp. 317-349
Citation: An. Michel et al., QUALITATIVE LIMITATIONS INCURRED IN IMPLEMENTATIONS OF RECURRENT NEURAL NETWORKS, Control systems magazine, 15(3), 1995, pp. 52-65
Citation: H. Ye et al., GLOBAL STABILITY AND LOCAL STABILITY OF HOPFIELD NEURAL NETWORKS WITHDELAYS, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 50(5), 1994, pp. 4206-4213
Citation: D. Liu et An. Michel, SPARSELY INTERCONNECTED NEURAL NETWORKS FOR ASSOCIATIVE MEMORIES WITHAPPLICATIONS TO CELLULAR NEURAL NETWORKS, IEEE transactions on circuits and systems. 2, Analog and digital signal processing, 41(4), 1994, pp. 295-307