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ORCIDAdrian-Mihail Stoica
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2020 – today
- 2024
[j10]Adrian-Mihail Stoica
, Isaac Yaesh:
Stochastic Antiresonance for Systems with Multiplicative Noise and Sector-Type Nonlinearities. Entropy 26(2): 115 (2024)- 2023
- [j9]Adrian-Mihail Stoica:
\(H_{\infty}\) Type Control for Multi-Agent Systems Subject to Stochastic State Dependent Noise. SIAM J. Control. Optim. 61(2): 904-923 (2023) - [c10]Irina Avital, Isaac Yaesh, Adrian-Mihail Stoica:
Position/Velocity Aided Leveling Loop: Continuous-Discrete Time State Multiplicative-Noise Filter Case. ICINCO (1) 2023: 485-488 - 2022
- [j8]Adrian-Mihail Stoica, Serena Cristiana Stoicu:
H∞ State-Feedback Control of Multi-Agent Systems with Data Packet Dropout in the Communication Channels: A Markovian Approach. Entropy 24(12): 1734 (2022)
2010 – 2019
- 2017
- [j7]Adrian-Mihail Stoica, Isaac Yaesh:
A bounded real lemma type-result with respect to the anisotropic norm setup for stochastic systems with multiplicative noise. Autom. 84: 174-180 (2017) - 2015
- [c9]Vasile Dragan, Adrian-Mihail Stoica, Toader Morozan:
A Criterion for Robust Stability with Respect to Parametric Uncertainties Modeled by Multiplicative White Noise with Unknown Intensity, with Applications to Stability of Neural Networks. System Modelling and Optimization 2015: 250-260 - 2014
- [c8]Isaac Yaesh, Adrian-Mihail Stoica:
Linear time-varying anisotropic filtering and its application to nonlinear systems state estimation. ECC 2014: 975-980 - 2013
- [j6]Adrian-Mihail Stoica, Isaac Yaesh:
LINFINITY Analysis and State-Feedback Control of Hopfield Networks. IEEE Trans. Neural Networks Learn. Syst. 24(9): 1497-1503 (2013) - 2012
- [j5]Vasile Dragan, Adrian-Mihail Stoica:
Optimal H2 filtering for a class of linear stochastic systems with sampling. Autom. 48(10): 2494-2501 (2012) - 2011
- [c7]Adrian-Mihail Stoica, Isaac Yaesh:
L-infinity analysis of Hopfield networks. CICA 2011: 6-10 - 2010
- [j4]Vasile Dragan, Toader Morozan, Adrian-Mihail Stoica:
Iterative algorithm to compute the maximal and stabilising solutions of a general class of discrete-time Riccati-type equations. Int. J. Control 83(4): 837-847 (2010)
2000 – 2009
- 2008
- [j3]Adrian-Mihail Stoica, Isaac Yaesh:
Markovian jump delayed Hopfield networks with multiplicative noise. Autom. 44(8): 2157-2162 (2008) - [c6]Adrian-Mihail Stoica, Isaac Yaesh:
Passivity of a Class of Hopfield Networks - Application to Chaos Control. ICINCO-SPSMC 2008: 84-89 - 2005
- [c5]Vasile Dragan, Adrian-Mihail Stoica:
H2 Optimal State-Feedback Control for Systems with Finite Jumps Corrupted by White Noise. CDC/ECC 2005: 5210-5214 - 2004
- [j2]Vasile Dragan, Toader Morozan, Adrian-Mihail Stoica:
H2 Optimal control for linear stochastic systems. Autom. 40(7): 1103-1113 (2004) - 2002
- [c4]Vasile Dragan, Toader Morozan, Adrian-Mihail Stoica:
Iterative procedure for stablilizing solutions of differential Riccati type equations arising in stochastic control. Analysis and Optimization of Differential Systems 2002: 133-144 - 2001
- [c3]V. Dragali, Adrian-Mihail Stoica:
Riccati type matrix differential equations with jumps. ECC 2001: 2587-2592 - [c2]Adrian-Mihail Stoica:
Small gain for linear jump systems with applications to sampled-data systems. ECC 2001: 3265-3269
1990 – 1999
- 1999
- [c1]Vasile Dragan, Adrian-Mihail Stoica:
A y-attenuation problem for discrete-time time-varying linear systems with jump Markov perturbations. ECC 1999: 725-728 - 1997
- [j1]Vasile Dragan, Aristide Halanay, Adrian-Mihail Stoica:
Well-conditioned computation for H∞ controller near the optimum. Numer. Algorithms 15(2): 193-206 (1997)
Coauthor Index
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