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Robust H 2/H ∞ global linearization filter design for nonlinear stochastic time-varying delay systems.

, , and . Sci. China Inf. Sci., 59 (3): 32204:1-32204:17 (2016)

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Stable recovery of approximately k-sparse signals in noisy cases via ℓp minimization.. Neurocomputing, (2020)Global Asymptotic Stability of Cohen-Grossberg Neural Networks with Multiple Discrete Delays., , , and . ICIC (2), volume 4682 of Lecture Notes in Computer Science, page 47-58. Springer, (2007)Criteria for Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays., and . ICIC (2), volume 5227 of Lecture Notes in Computer Science, page 19-26. Springer, (2008)Upper Bound of Null Space Constant $\rho(p,t,A,k)$ and High-Order Restricted Isometry Constant $\delta_tk$ for Sparse Recovery via $\ell_p$ Minimization., , and . IEEE Trans. Signal Process., (2023)Exponential stability of a class of generalized neural networks with time-varying delays., , and . Neurocomputing, 69 (7-9): 959-963 (2006)Universal consistency of extreme learning machine for RBFNs case., and . Neurocomputing, (2015)Delay-Dependent Robust Exponential Stability for Uncertain Neutral Stochastic Systems with Interval Time-Varying Delay., , and . J. Appl. Math., (2012)General RIP bounds of δtk for sparse signals recovery by ℓp minimization., and . Neurocomputing, (2019)A Novel Approach to Exponential Stability Analysis of Cohen-Grossberg Neural Networks., , and . ISNN (1), volume 3173 of Lecture Notes in Computer Science, page 90-95. Springer, (2004)Robust H 2/H ∞ global linearization filter design for nonlinear stochastic time-varying delay systems., , and . Sci. China Inf. Sci., 59 (3): 32204:1-32204:17 (2016)