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ORCIDYohei Hosoe
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2020 – today
- 2024
[j17]Yohei Hosoe
, Yuki Michitani, Dimitri Peaucelle, Tomomichi Hagiwara:
Stochastic Gain-Scheduled Control of Discrete-Time Systems Characterized by Random Polytopes. IEEE Control. Syst. Lett. 8: 229-234 (2024)- [j16]Yu Kawano, Yohei Hosoe:
Contraction Analysis of Discrete-Time Stochastic Systems. IEEE Trans. Autom. Control. 69(2): 982-997 (2024) - [c16]Dimitri Peaucelle, Yohei Hosoe, Yoshio Ebihara:
About an Alternative S-Variable Condition for State-Feedback Design. ECC 2024: 2991-2996 - [i8]Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Masashi Hamaya, Paavo Parmas, Yutaka Matsuo:
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form. CoRR abs/2408.16286 (2024) - 2023
- [j15]Hiroshi Okajima, Yohei Hosoe, Tomomichi Hagiwara:
State Observer Under Multi-Rate Sensing Environment and Its Design Using l2-Induced Norm. IEEE Access 11: 20079-20087 (2023) - [j14]Yohei Hosoe, Takashi Okamoto, Tomomichi Hagiwara:
H₂ Performance Analysis and Synthesis for Discrete-Time Linear Systems With Dynamics Determined by an i.i.d. Process. IEEE Control. Syst. Lett. 7: 751-756 (2023) - [j13]Tomoya Kitahiro, Yohei Hosoe, Tomomichi Hagiwara:
Robust Control of Discrete-Time Systems With Coefficient Matrices Given by Polytopic Martingales. IEEE Control. Syst. Lett. 7: 2095-2100 (2023) - [j12]Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe:
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control With Action Constraints. IEEE Robotics Autom. Lett. 8(8): 4449-4456 (2023) - [i7]Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe:
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints. CoRR abs/2304.08743 (2023) - 2022
- [j11]Yohei Hosoe, Tomomichi Hagiwara:
On Second-Moment Stability of Discrete-Time Linear Systems With General Stochastic Dynamics. IEEE Trans. Autom. Control. 67(2): 795-809 (2022) - [c15]Yohei Hosoe:
Stochastic Aperiodic Control of Networked Systems with i.i.d. Time-Varying Communication Delays. CDC 2022: 3562-3567 - [i6]Yohei Hosoe:
Stochastic Aperiodic Control of Networked Systems with i.i.d. Time-Varying Communication Delays. CoRR abs/2203.03207 (2022) - [i5]Yohei Hosoe, Takashi Okamoto, Tomomichi Hagiwara:
H2 Performance Analysis and Synthesis for Discrete-Time Linear Systems with Dynamics Determined by an i.i.d. Process. CoRR abs/2209.03606 (2022) - 2021
- [i4]Yu Kawano, Yohei Hosoe:
Contraction Analysis of Discrete-time Stochastic Systems. CoRR abs/2106.05635 (2021) - 2020
- [j10]Yohei Hosoe, Dimitri Peaucelle, Tomomichi Hagiwara:
Linearization of expectation-based inequality conditions in control for discrete-time linear systems represented with random polytopes. Autom. 122: 109228 (2020)
2010 – 2019
- 2019
- [j9]Yohei Hosoe, Dimitri Peaucelle:
Static Output Feedback Stabilization of Discrete-Time Linear Systems With Stochastic Dynamics Determined by an Independent Identically Distributed Process. IEEE Control. Syst. Lett. 3(3): 673-678 (2019) - [j8]Yuji Nagira, Yohei Hosoe, Tomomichi Hagiwara:
Causality of general input-output systems and extended small-gain theorem for their feedback connection. Eur. J. Control 50: 51-61 (2019) - [j7]Yohei Hosoe, Tomomichi Hagiwara:
Equivalent Stability Notions, Lyapunov Inequality, and Its Application in Discrete-Time Linear Systems With Stochastic Dynamics Determined by an i.i.d. Process. IEEE Trans. Autom. Control. 64(11): 4764-4771 (2019) - [c14]Hiroshi Okajima, Yohei Hosoe, Tomomichi Hagiwara, Yuki Minami:
Basic Idea of Periodically Time-Varying Dynamic Quantizer in Networked Control Systems. SICE 2019: 883-889 - [i3]Yohei Hosoe, Tomomichi Hagiwara:
Equivalent Stability Notions, Lyapunov Inequality, and Its Application in Discrete-Time Linear Systems with Stochastic Dynamics Determined by an i.i.d. Process. CoRR abs/1902.11200 (2019) - [i2]Yohei Hosoe, Dimitri Peaucelle:
Distribution Modeling and Stabilization Control for Discrete-Time Linear Random Dynamical Systems Using Ensemble Kalman Filter. CoRR abs/1904.05030 (2019) - [i1]Yohei Hosoe, Tomomichi Hagiwara:
On Second-Moment Stability of Discrete-Time Linear Systems with General Stochastic Dynamics. CoRR abs/1911.00308 (2019) - 2018
- [j6]Yohei Hosoe, Tomomichi Hagiwara, Dimitri Peaucelle:
Robust Stability Analysis and State Feedback Synthesis for Discrete-Time Systems Characterized by Random Polytopes. IEEE Trans. Autom. Control. 63(2): 556-562 (2018) - [c13]Yuji Nagira, Yohei Hosoe, Tomomichi Hagiwara:
On Stability Analysis Based on Stochastic D-Scaling. CDC 2018: 1035-1040 - [c12]Yuji Nagira, Yohei Hosoe, Tomomichi Hagiwara:
The lp Induced Norm and the Small-Gain Theorem for Discrete-time Stochastic Systems. ECC 2018: 1-6 - 2017
- [j5]Dimitri Peaucelle, Yoshio Ebihara, Yohei Hosoe:
Robust observed-state feedback design for discrete-time systems rational in the uncertainties. Autom. 76: 96-102 (2017) - [j4]Mitsuaki Miyamoto, Yohei Hosoe, Tomomichi Hagiwara:
Robust stability analysis with cycling-based LPTV scaling: part I. Fundamental results on its relationship with lifting-based LPTV scaling. Int. J. Control 90(7): 1345-1357 (2017) - [j3]Mitsuaki Miyamoto, Yohei Hosoe, Tomomichi Hagiwara:
Robust stability analysis with cycling-based LPTV scaling. Part II: its properties under the use of FIR separators. Int. J. Control 90(7): 1358-1370 (2017) - 2016
- [c11]Yohei Hosoe, Dimitri Peaucelle:
S-variable approach to robust stabilization state feedback synthesis for systems characterized by random polytopes. ECC 2016: 2023-2028 - [c10]Yohei Hosoe, Yuji Nagira, Tomomichi Hagiwara:
Random polytope representation of discrete-time uncertain stochastic switched systems and robust stabilization. ECC 2016: 2029-2034 - 2015
- [c9]Yuji Nagira, Yohei Hosoe, Tomomichi Hagiwara:
Gain-scheduled state feedback synthesis for systems characterized by random polytopes. CDC 2015: 741-746 - [c8]Yohei Hosoe, Tomomichi Hagiwara:
Extension of the concept of random polytopes and robust stabilization synthesis. ECC 2015: 2853-2858 - 2014
- [c7]Yohei Hosoe, Tomomichi Hagiwara:
Robust stability analysis of discrete-time linear systems characterized by stochastic polytopes. ACC 2014: 4973-4978 - [c6]Yohei Hosoe, Tomomichi Hagiwara:
State feedback synthesis for robust stabilization of discrete-time linear systems characterized by stochastic polytopes. ECC 2014: 612-617 - 2013
- [j2]Yohei Hosoe, Tomomichi Hagiwara:
Unified treatment of robust stability conditions for discrete-time systems through an infinite matrix framework. Autom. 49(5): 1488-1493 (2013) - [c5]Kei Katayama, Yohei Hosoe, Tomomichi Hagiwara:
Demonstrating the Effectiveness of Noncausal LPTV Scaling through Control Experiments with Cart Inverted Pendulum. PSYCO 2013: 143-148 - 2012
- [c4]Yohei Hosoe, Tomomichi Hagiwara:
Robust stability analysis based on discrete-time FIR scaling. ACC 2012: 5972-5979 - [c3]Yohei Hosoe, Tomomichi Hagiwara:
Robust stability analysis based on noncausal LPTV FIR scaling: Explicit procedure and relationship with causal LTI FIR scaling. CDC 2012: 240-247 - 2011
- [j1]Yohei Hosoe, Tomomichi Hagiwara:
Properties of discrete-time noncausal linear periodically time-varying scaling and their relationship with shift-invariance in lifting-timing. Int. J. Control 84(6): 1067-1079 (2011) - [c2]Yohei Hosoe, Tomomichi Hagiwara:
Infinite matrix representations of robust stability conditions for discrete-time systems. CDC/ECC 2011: 1359-1366 - 2010
- [c1]Yohei Hosoe, Tomomichi Hagiwara:
Synthesis of robust performance controllers based on discrete-time noncausal linear periodically time-varying scaling. PSYCO 2010: 116-121
Coauthor Index
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