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Incorporating structural constraints into continuous optimization for causal discovery.

, , , , and . Neurocomputing, (2024)

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Improved Hinfinite control of discrete-time fuzzy systems: a cone complementarity linearization approach., , and . Inf. Sci., 175 (1-2): 57-77 (2005)Global stability of stochastic high-order neural networks with discrete and distributed delays, , and . Chaos, Solitons & Fractals, 36 (2): 388--396 (April 2008)Error-Constrained Filtering for a Class of Nonlinear Time-Varying Delay Systems With Non-Gaussian Noises., , and . IEEE Trans. Automat. Contr., 55 (12): 2876-2882 (2010)A new approach to non-fragile state estimation for continuous neural networks with time-delays., , , , and . Neurocomputing, (2016)On Nonlinear H∞ Filtering for Discrete-Time Stochastic Systems With Missing Measurements., , , and . IEEE Trans. Automat. Contr., 53 (9): 2170-2180 (2008)State Estimation for Discrete-Time Neural Networks with Markov-Mode-Dependent Lower and Upper Bounds on the Distributed Delays., , and . Neural Processing Letters, 36 (1): 1-19 (2012)Bounded Hinfty Synchronization and State Estimation for Discrete Time-Varying Stochastic Complex Networks Over a Finite Horizon., , and . IEEE Trans. Neural Networks, 22 (1): 145-157 (2011)An Adaptive Memetic Algorithm With Rank-Based Mutation for Artificial Neural Network Architecture Optimization., , , , , and . IEEE Access, (2017)Event-based recursive filtering for a class of nonlinear stochastic parameter systems over fading channels., , , and . Int. J. General Systems, 47 (5): 468-482 (2018)On Kalman-Consensus Filtering With Random Link Failures Over Sensor Networks., , , and . IEEE Trans. Automat. Contr., 63 (8): 2701-2708 (2018)